Memory Knowledge Servers

Regulatory arbitrage detection and beneficial ownership tracing for AI agents via the Model Context Protocol.

MCP server that bridges LCOV coverage reports to AI agents.

anki-mcp-server is an MCP server on MCP.so — view details, tools, and install instructions.

Two-layer memory for AI agents with an immune system — episodes compress into identity through citation-validated graduation. Zero dependencies, 5 MCP tools.

Connection your Amazon Seller Central and Ads accounts to your AI

Autopoietic knowledge synthesis gives AI agents access to 18 academic and technical data sources unified by a suite of advanced mathematical frameworks — stochastic block model community detection, Turing instability, Smith normal form Betti numbers, formal concept analysis, Fish

Basic Memory is a Model Context Protocol server designed to extend AI agent capabilities. It exposes tools, resources, and prompts that allow AI assistants like Claude and Cursor to perform specialized tasks.

A local RAG system with Playwright MCP integration for Claude and OpenAI embeddings, using local storage.

Brokerage MCP MCP server enables seamless integration between AI agents and external services. Built on the Model Context Protocol, it provides standardized access to tools and data for AI-powered workflows.

Byteask Embedded Docs is an MCP server on MCP.so — view details, tools, and install instructions.

ByteRover Team Memory is a paid remote MCP endpoint for OpenAI Codex memory MCP. It exposes structured JSON tools, a public server card, token-based access, usage receipts, and audit-ready w

Give your AI agent real vehicle data. An MCP server that lets Claude, Cursor, ChatGPT, or any MCP-capable client query the CarVector API natively — vehicle specs, representative images, federal recalls, and OBD-II diagnostic trouble codes.

n8n AI Agent with Local MCP Integration (Docker + npx) is an MCP server on MCP.so — view details, tools, and install instructions.

A Retrieval-Augmented Generation (RAG) server for document processing, vector storage, and intelligent Q&A, powered by the Model Context Protocol.

Civilizational fragility assessment for AI agents — this MCP server gives Claude, GPT-4, and any MCP-compatible agent access to cross-domain cascading collapse risk analysis backed by 17 live data sources and 10 mathematical frameworks.

A memory system for Cline that tracks progress between conversations.

A memory system for Cline that tracks progress between conversations. Avoid large token usage!

Persistent memory MCP for AI agents — Knowledge graph + Hebbian learning + Anti-hallucination. 12 tools, 1 dependency, zero manual setup.

High-Performance and Unlimited File Conversion MCP

DragApp — Gmail & Whatsapp For AI Tools (Shared Inbox MCP Server) is an MCP server on MCP.so — view details, tools, and install instructions.

Dragonmcp is an MCP server on MCP.so — view details, tools, and install instructions.

Easy Memory MCP - Dual-engine embedding service with Qdrant vector store

Interact with the Digital Samba Embedded API for video conferencing features like room management, analytics, recording, and live session control.

Preserves the emotional texture of human-AI conversations across sessions through real-time experiential annotation — temperature, authenticity, shifts, subtext, and unspoken context.

Self-hosted MCP server giving AI agents persistent memory — Markdown source of truth, hybrid BM25+embedding search, typed graph relations.

Github Com Lumetra Io Engram Memory Mcp is an open-source MCP server that gives AI assistants access to specialized functionality. Compatible with Claude Desktop, Cursor, and other MCP clients for enhanced AI agent workflows.

Evangstav Python Memory Mcp Server is an open-source MCP server that gives AI assistants access to specialized functionality. Compatible with Claude Desktop, Cursor, and other MCP clients for enhanced AI agent workflows.

Builds a knowledge graph of flaky tests from Playwright run history

Meta-search for x402 agent-payable services -- find paid APIs across every registry

Enables memory for Claude using a knowledge graph with fuzzy semantic search and persistent storage.

View and manage vehicles, maintenance schedules, receipts, and drive logs using natural language.

A RAG-based Q&A server using a vector store built from Gemini CLI documentation.

A powerful Model Context Protocol (MCP) server using gemini embedding 3 that transforms any local directory into an ultrafast, visually-aware spatial search engine for AI agents.

Local-first, auditable memory for AI agents, with durable SQLite, MCP recall, and opt-in governed writeback.

google-calendar-mcp-server is an MCP server on MCP.so — view details, tools, and install instructions.

A Model Context Protocol (MCP) server implementation for graph-based memory storage with RAG capabilities

This is a MCP server I built to interact with my hybrid graph rag db.

Persistent identity and memory across AI tools - mcp-native, local-first, framework-agnostic, production-ready.

Give your AI the ability to remember key facts and everything you've ever discussed

Ask your home. Your AI assistant's memory for everything in and around your home.

An AI-assisted development plugin that maintains persistent project context using structured markdown files for goals, decisions, and progress.

This is a personal project to see if Claude 3.5 Sonnet can write a moderately complex MCP Server in Python.

An open-source MCP server providing real-time observability for IBM Storage Insights assets.

Autoupdating MCP Vector Memory

Generate images using Baidu's iRAG API through a standardized MCP interface.

Izumisy Mcp Duckdb Memory Server is a Model Context Protocol server designed to extend AI agent capabilities. It exposes tools, resources, and prompts that allow AI assistants like Claude and Cursor to perform specialized tasks.

Jenkins Mcp is an MCP server on MCP.so — view details, tools, and install instructions.

Jira communication server MCP Server is an MCP server on MCP.so — view details, tools, and install instructions.

An intelligent memory management server with 14 optimized tools. It provides AI-powered summaries, a clean interface, and supports an optional PostgreSQL database with pgvector.

Local MCP server that allows your agent to track documentation coverage over code repository.

This MCP server provides tools for listing and retrieving content from different knowledge bases.

A knowledge graph-driven persistent memory layer for coding agents and LLM workflows.

Knowledge graph causal discovery over multi-domain research data, delivered through a single Model Context Protocol interface.

knowledge-graph-generator-mcp-server is an MCP server on MCP.so — view details, tools, and install instructions.

Enables project memory using a Kuzu-powered knowledge graph.

MCP Server that serves knowledge from a Neo4J Database

Knowledge MCP Server is an MCP server on MCP.so — view details, tools, and install instructions.

Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, 9 file formats, file watcher, and 12 MCP tools. Zero external servers. pip install knowledge-rag

Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via MCP.

An MCP server for interacting with various research & notetaking applications.

KnowledgeBaseMCP MCP server provides AI agents with powerful tools and integrations for automation workflows. Connect your AI assistant to KnowledgeBaseMCP capabilities through the Model Context Protocol standard.

KnowledgeGraph MCP MCP server enables seamless integration between AI agents and external services. Built on the Model Context Protocol, it provides standardized access to tools and data for AI-powered workflows.

Model Context Protocol (MCP) server allowing LLMs to store and search knowledge in a SQLite database

MCP server for enabling persistent knowledge storage for Claude through a knowledge graph with multiple storage backends and fuzzy search

Laraguard Mcp is an MCP server on MCP.so — view details, tools, and install instructions.

A server providing persistent memory for AI assistants, with support for multiple AI providers.

Create private, local RAG libraries that work offline—no API keys, no cloud services. Share them as single files your whole team can use.

A MCP (Model Context Protocol) server for interacting with LimeSurvey.

Local-first agent memory MCP — Claude Code, Cursor, OpenAI Codex, and Gemini CLI share one SQLite brain. 6-layer structured memory (goal/context/emotion/implementation/caveat/learning), drift detection with pre-action re-injection guard, and an AST-aware diff cache saving 50-99%

Multi-project memory MCP - A Model Context Protocol server for managing project memory and context

Persistent local memory for Claude, Cursor & Codex. 21 MCP tools, hybrid retrieval (BM25 + vector RRF), bi-temporal queries, contradiction detection. SQLite + Knowledge Graph. No cloud, no API keys. npx @studiomeyer/local-memory-mcp

Local RAG Backend is a Model Context Protocol server designed to extend AI agent capabilities. It exposes tools, resources, and prompts that allow AI assistants like Claude and Cursor to perform specialized tasks.

Semantic code search for AI agents — hybrid vector + BM25 with cross-encoder reranking, AST-aware chunking for 14 languages, conversation memory, code annotations, and search analytics. Zero config, zero API keys. Just bunx.

Trying to use mcp servers for setting up local rag

MCP RAG is a Model Context Protocol server designed to extend AI agent capabilities. It exposes tools, resources, and prompts that allow AI assistants like Claude and Cursor to perform specialized tasks.

Converts QuantConnect PDF documentation into searchable markdown, enabling fast, context-aware search.

Mcp ARCknowledge MCP server provides AI agents with powerful tools and integrations for automation workflows. Connect your AI assistant to Mcp ARCknowledge capabilities through the Model Context Protocol standard.

This MCP server conveniently lets you configure and interact across all your custom webhook endpoints from a config(knowledgebase json).

This repository implements an MCP (Model Context Protocol) server that exposes various functionalities on an Azure Blob Storage account. It is based on the MCP SDK from Anthropic, which can be found at: https://github.com/modelcontextprotocol/python-sdk. It has sample code for an

Simplest example of MCP client-server architecture over HTTP using Python & Golang

MCP Memory Server with DuckDB backend

This MCP server is used to provide Godot documentation to the Godot RAG model.

A knowledge base and experimental playground for exploring the Model Context Protocol (MCP)—understanding how hosts, servers, LLMs, and tools interact.

Mcp Knowledge Graph is an open-source MCP server that gives AI assistants access to specialized functionality. Compatible with Claude Desktop, Cursor, and other MCP clients for enhanced AI agent workflows.

mcp-server-weaviate is an MCP server on MCP.so — view details, tools, and install instructions.

MCP Server for long term memory graph

MCP server that helps build Memory Bank - structured documentation system for context preservation

A powerful, production-ready context management system for Large Language Models (LLMs). Built with ChromaDB and modern embedding technologies, it provides persistent, project-specific memory capabilities that enhance your AI's understanding and response quality.

simple memory mcp server with custom memory location

A desktop application for managing and interacting with the MCP Memory Service, a semantic memory system built on the Model Context Protocol.

MCP Memory Gateway is a pre-action gate engine for AI coding agents. Unlike memory servers that store and retrieve context (Mem0, Zep), this server enforces behavior change: repeated failures are auto-promoted into prevention rules, and PreToolUse hooks physically block tool call

Persistent memory for AI agents using a semantic knowledge graph. Store, retrieve, and connect memories with semantic search — so your AI remembers context across sessions.

A server for persistent context management in Claude AI coding assistants, using a local SQLite database for storage.

Extends the Memory server with PouchDB for robust document-based storage, custom memory file paths, and interaction timestamping.

🔥🖥️ MCP Memory is a MCP Server that gives MCP Clients (Cursor, Claude, Windsurf and more) the ability to remember information about users (preferences, behaviors) across conversations.

MCP server for enabling memory for Claude through a knowledge graph

MCP Memory Server with PostgreSQL and pgvector for long-term memory capabilities

Standalone MCP server for enabling memory for Claude through a knowledge graph

MCP Memory Server is an MCP server on MCP.so — view details, tools, and install instructions.

A simple file-based memory server.

MCP Memory Server is an MCP server on MCP.so — view details, tools, and install instructions.

MCP Memory Service (Rust Implementation) is an MCP server on MCP.so — view details, tools, and install instructions.

Provides persistent memory for Claude using ChromaDB for semantic search and storage.

Graph visualization tools for exploring and analyzing Claude's memory data.

MCP Neo4j Memory Server is an MCP server on MCP.so — view details, tools, and install instructions.

MCP Memory Server with Neo4j backend for AI knowledge graph storage

Manages personal knowledge using a local Neo4j container, with data imported from JSON files.

Simple standalone MCP server giving Claude the ability to remember your conversations and learn from them over time.

Provides semantic search capabilities for PostgreSQL databases using the pgvector extension, with support for multiple embedding providers.

Read and write to a Pinecone vector database using the Model Context Protocol.

mcp-python-sdk-inmemory-server-tests is an MCP server on MCP.so — view details, tools, and install instructions.

MCP server providing a knowledge graph implementation with semantic search capabilities powered by Qdrant vector database

AI-powered Chat System with multiple MCP servers.

AI-powered Chat System with multiple MCP servers.

A demo of Retrieval-Augmented Generation (RAG) application with MCP server integration.

MCP RAG Server is an MCP server on MCP.so — view details, tools, and install instructions.

mcp-rag-server is a Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG) capabilities. It empowers Large Language Models (LLMs) to answer questions based on your document content by indexing and retrieving relevant information efficiently.

MCP server Implantation for RAG (GroundX API)

Mcp Ragdocs MCP server provides AI agents with powerful tools and integrations for automation workflows. Connect your AI assistant to Mcp Ragdocs capabilities through the Model Context Protocol standard.

A local MCP server implementing Retrieval-Augmented Generation (RAG) with sentence window retrieval and support for multiple file types.

프롬프트 기반 노션 MCP 클라이언트 is an MCP server on MCP.so — view details, tools, and install instructions.

mcp-server-for-rag is an MCP server on MCP.so — view details, tools, and install instructions.

A Simple Model Context Server For AI

Mcp Server Mariadb Vector is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

Memory MCP Server is an MCP server on MCP.so — view details, tools, and install instructions.

Mcp Server Memory is a Model Context Protocol server designed to extend AI agent capabilities. It exposes tools, resources, and prompts that allow AI assistants like Claude and Cursor to perform specialized tasks.

MCP Server: Memory is an MCP server on MCP.so — view details, tools, and install instructions.

Category-based Memory Server is an MCP server on MCP.so — view details, tools, and install instructions.

An MCP server that provides tools for retrieving and processing documentation through vector search, both locally or hosted. Enabling AI assistants to augment their responses with relevant documentation context.

Mcp Server Shreeraghavm MCP server enables seamless integration between AI agents and external services. Built on the Model Context Protocol, it provides standardized access to tools and data for AI-powered workflows.

Model Context Protocol (MCP) server to access an instance of TrueRAG

Mcp Server Weaviate is an open-source MCP server that gives AI assistants access to specialized functionality. Compatible with Claude Desktop, Cursor, and other MCP clients for enhanced AI agent workflows.

Mcp Servers Andrelbraga MCP server enables seamless integration between AI agents and external services. Built on the Model Context Protocol, it provides standardized access to tools and data for AI-powered workflows.

A shared memory and coordination server for multiple AI coding agents, built on the Model Context Protocol

Storacha MCP storage server - self-sovereign data for your AI applications.

Query Mind Server is an MCP server on MCP.so — view details, tools, and install instructions.

Make it easy for agents to build their context about your projects over time

Deno/TypeScript MCP Server providing context related to Terragrunt documentation.

An MCP client for connecting to and interacting with a Weaviate vector database.

rag using Ollama as emebddings, gemini as LLM and MCP server for agentic use

Persistent memory MCP server for AI coding assistants with 5-layer cognitive model, hybrid semantic+keyword search, and checkpoint/resume. Zero cloud, local-first.

Share one memory store across all your AI coding tools. Memory Arbiter is a lightweight, fully local MCP Server with built-in dual-timeline conflict arbitration. No cloud, no LLM calls — just SQLite.

This is an MCP server for retrieving all files in the memory-bank directory at once. Its purpose is to reduce AI tool invocation frequency when loading memory-bank, saving both time and money.

Memory Bank Mcp is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

MCP Server with Remote SSH support

MemoryBank is an MCP server on MCP.so — view details, tools, and install instructions.

Memory Bank MCP Server is an MCP server on MCP.so — view details, tools, and install instructions.

🧠 Deep Project Analysis: Memory Context Manager v2

Atomic memory model — knowledge stored as atoms (facts, decisions, events, preferences, logs, procedures, notes, session messages)

A graph-based Model Context Protocol (MCP) server that gives AI coding agents persistent memory. Originally built for Claude Code, MemoryGraph works with any MCP-enabled coding agent. Store development patterns, track relationships, and retrieve contextual knowledge across sessions and projects.

MCP server designed to help you search and analyze your photo library (iCloud)

Memory Mcp is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

An mcp server that you can use to store and retrieve ideas, prompt templates, personal preferences to use with you favourite AI tool that supports the modelcontextprovider protocol.

A Model Context Protocol server that provides knowledge graph management capabilities.

Memory Mcp Server Go is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

Memory_mcp_server_go is an MCP server on MCP.so — view details, tools, and install instructions.

A Python implementation of the MCP memory server for knowledge graph storage and retrieval, using JSONL files for persistence.

A long-term memory storage system for LLMs using the Model Context Protocol (MCP) standard. This system helps LLMs remember the context of work done over the entire history of a project, even across multiple sessions. It uses semantic search with embeddings to provide relevant co

An MCP server that gives Claude Code persistent memory across sessions (open source, SQLite)

User-owned memory for AI agents over remote MCP. Save, search, recall, update, and manage scoped memories across Copilot, Claude, ChatGPT, IDEs, and CLIs.

A project management and session memory tool for AI agents to track projects, tasks, and context during chat sessions.

🧠 𝑴𝒆𝒎𝒐𝒓𝒚-𝑷𝒍𝒖𝒔 is a lightweight, local RAG memory store for MCP agents. Easily record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who

Memory Plus MCP server provides AI agents with powerful tools and integrations for automation workflows. Connect your AI assistant to Memory Plus capabilities through the Model Context Protocol standard.

A Claude Code MCP plugin that audits and cleans up your AI memory.

Brain-inspired persistent memory MCP server with hybrid BM25+vector search, ACT-R activation scoring, FadeMem decay, and knowledge graphs — 17 tools, fully local via Ollama, zero API keys.

MemoryMesh is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

Memorybear is an MCP server on MCP.so — view details, tools, and install instructions.

Official support hub for Woxpas.ai. Report bugs, suggest features, and track the roadmap for the Sovereign Human Extension (Web, Extension, & MCP).

Memorymesh is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

AI long-term memory MCP server with importance scoring and confidence calibration. Enables AI agents to store, search, and retrieve long-term memories with semantic similarity and importance-weighted recall.

A TypeScript and SQLite-based server enabling AI to remember personal data for personalized communication.

Persistent memory for AI agents — 55 MCP tools, spreading activation recall, neuroscience-inspired consolidation

t stores your project context, decisions, and knowledge locally in SQLite - no cloud, no telemetry. Your data stays on your machine.

Persistent memory for AI coding agents with semantic search, contradiction detection, memory decay, and cross-session learning. 25 MCP tools, local-first, #1 on LongMemEval (95.4%).

External QA layer for OpenClaw memory — diagnose, guard, and remediate your agent's memory.

Openmemory is an MCP server on MCP.so — view details, tools, and install instructions.

Comprehensive troubleshooting guide for OpenMemory MCP server issues with Claude Desktop and other MCP clients

optimized-memory-mcp-server is an MCP server on MCP.so — view details, tools, and install instructions.

This is a personal project to test Claude AI's ability to self-write an MCP Server code for its own use.

Issue Paraguay SIFEN e-Kuatia electronic invoices via your FacturaSend account — create, query by CDC, check status. Stateless BYO

Connect AI tools with Pinecone projects to search, configure indexes, generate code, and manage data.

MCP Pinecone Vector Database Server is an MCP server on MCP.so — view details, tools, and install instructions.

PinRAG is a retrieval-augmented generation (RAG) MCP server built with LangChain and Chroma. Index PDFs, plain text, Discord exports, YouTube transcripts, and GitHub repositories, then ask questions in Cursor, VS Code (Copilot), or any MCP-capable client. Answers include citation

Political regulatory arbitrage analysis — cross-jurisdiction regulatory forecasting — delivered as an MCP server for AI agents. Built for legal teams, compliance officers, government affairs professionals, and strategic advisors who need to quantify regulatory divergence, predict

Postman Weaviate Mcp Server is a Model Context Protocol server designed to extend AI agent capabilities. It exposes tools, resources, and prompts that allow AI assistants like Claude and Cursor to perform specialized tasks.

Project Memory is an MCP server on MCP.so — view details, tools, and install instructions.

Memory MCP Server is an MCP server on MCP.so — view details, tools, and install instructions.

Qdrant Memory MCP server enables seamless integration between AI agents and external services. Built on the Model Context Protocol, it provides standardized access to tools and data for AI-powered workflows.

A semantic search server for codebases using Qdrant, featuring intelligent GitHub issue and project management.

AI-powered knowledge base for your Terraform modules.

RAG MCP Server (Lambda + OpenSearch Serverless) is an MCP server on MCP.so — view details, tools, and install instructions.

Provides local repo-intelligence by indexing source, symbols, call graphs, Git/GitHub history, and source-bound repo memories into a local database for coding agents.

MCP RAG Server is an MCP server on MCP.so — view details, tools, and install instructions.

Rag Starter is an MCP server on MCP.so — view details, tools, and install instructions.

Remote MCP Server on Cloudflare is an MCP server on MCP.so — view details, tools, and install instructions.

MCP対応のRAGシステム。Markdownドキュメントをベクトル化し、自然言語で高速検索。LibSQL、Qdrant、PostgreSQLに対応してます。

A server for RAG-based document search and management using Qdrant vector database with Ollama or OpenAI embeddings.

Ragdoll AI MCP Server is an MCP server on MCP.so — view details, tools, and install instructions.

A simple MCP server of knowledge base for RAGFlow.

Simple RAGFlow MCP. Only useful until the RAGFlow team releases the official MCP server

RAGFlow MCP Server is an MCP server on MCP.so — view details, tools, and install instructions.

A mcp server to retrieve documents from ragflow

This mcp server is used to search content from the ragflow knowledge base.

Ragie Mcp Server MCP server provides AI agents with powerful tools and integrations for automation workflows. Connect your AI assistant to Ragie Mcp Server capabilities through the Model Context Protocol standard.

Ragie Model Context Protocol Server is an MCP server on MCP.so — view details, tools, and install instructions.

A Developers Tool — Scrape entire documentation recursively and ask questions using AI

Ragmap is an MCP server on MCP.so — view details, tools, and install instructions.

Search your knowledge bases from any AI assistant. Ragora is a knowledge marketplace that lets you upload, organize, and search documents using hybrid RAG (dense + sparse vectors). Connect via MCP to search across all your collections directly from Claude, Cursor, VS Code, and mo

Serverless document and media processing with AI chat.

Index your docs, files, and websites into a vector store and give your AI agent live semantic search with auto-syncs on changes, zero code required.

RagWiser is a Retrieval Augmented Generation (RAG) system built with Spring Boot that enables users to upload PDF documents, process them, and ask questions about their content using natural language.

MCP server containing tools for real esate search

Search Recon documentation, book, and newsletter. Queries getrecon.xyz, book.getrecon.xyz, and getrecon.substack.com for fuzzing, invariant testing, and Chimera framework knowledge.

Regulatory arbitrage detection for AI agents, compliance teams, and policy analysts — this MCP server quantifies cross-jurisdictional regulatory divergence using 8 mathematically rigorous tools backed by 16 live data sources.

Remote MCP Server + AutoRAG on Cloudflare is an MCP server on MCP.so — view details, tools, and install instructions.

Remote MCP Server + AutoRAG on Cloudflare is an MCP server on MCP.so — view details, tools, and install instructions.

A different approach from typical persistent-memory MCPs. Instead of a local

Persistent, structured memory for AI coding agents. Your repo never forgets.

It is a open-source universal memory engine where users can store and retrieve their AI conversations and context across different models. Users can add memories through MCP, SDK, or a website selfmemory.com Over time, this will evolve into a one-stop memory hub with note-taking

Storm MCP Server with Sionic AI serverless RAG is an MCP server on MCP.so — view details, tools, and install instructions.

Provides shared memory for agentic teams to improve token efficiency and coordination.

An MCP server to extend the context of agents. Useful when coding big features or vibe coding and need to store/recall progress, key moments or changes or anything worth remembering. Simply ask the agent to store memories and recall whenever you want.

A memory management system for AI assistants to store, retrieve, and manage user information using a local database.

Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.

AI memory server with 56 tools. Knowledge Graph, semantic search, session tracking, multi-agent support. Free tier available.

Universal, local-first persistent memory for AI assistants. SQLite-based knowledge graph with zero cloud dependencies. Works with 17+ tools (Claude, Cursor, Windsurf, VS Code, etc.). 100% free forever.

Provides knowledge base search and dialogue completion using the Volcengine Knowledge Base service. Requires external credential configuration.

Thrift Memory is a cost-first MCP memory server for coding agents that stop reloading large MEMORY.md, AGENTS.md, and project context files every session. It recalls only task-relevant memory under a hard token budget and returns a savings receipt: baselineTokens vs injectedTokens vs savedTokens.

toon-memory es un servidor MCP de memoria persistente 100% local diseñado para asistentes de código con IA (Cursor, Claude Code, Windsurf, etc.). Utiliza el formato ultraeficiente TOON para reducir el consumo de tokens hasta en un 30%, permitiendo a los agentes guardar, buscar y consolidar el contexto y las decisiones del proyecto entre sesiones de forma privada y cifrada (AES-256).

Structured 3-layer memory system for AI trading agents. L1 records every trade automatically. L2 discovers patterns via reflection engine. L3 evolves strategy in real-time. Built on MCP. Supports MT5, Binance, Alpaca. Python/FastAPI/SQLite. MIT licensed.

Everything you need to use traggo with your favorite LLM.

Uses a Trello board as a knowledge base to store and retrieve code snippets, notes, and other information.

A vendor-agnostic cognitive persistence layer for AI agents. Eliminate the "repetition tax" by transporting your context, preferences, and history across sessions. Features an auto-adaptation engine that syncs global instructions to ensure operational cohesion and optimize token usage across any LLM or multi-agent workflow.

Search concept relationships in the Unreal Engine official documentation using a Neo4j-powered knowledge graph.

Key-Value storage MCP server based on unjs/unstorage, support drivers: redis, mongodb, filesystem. http

A Ruby gem for building Model Context Protocol (MCP) servers to expose tools, resources, and prompts to LLM clients.

Vector Memory Mcp is a Model Context Protocol server designed to extend AI agent capabilities. It exposes tools, resources, and prompts that allow AI assistants like Claude and Cursor to perform specialized tasks.

Vectorize Mcp Server is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

A easy-to-use and minimal server implementation for the Model Context Protocol (MCP) in Ruby.

Velocirag is an MCP server on MCP.so — view details, tools, and install instructions.

Verified memory infrastructure for AI agents. Every assertion signed, timestamped, and cryptographically proven. Includes session continuity across Claude Code, Cursor, and Windsurf, plus Proof Meter billing attestation.

Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead and visual hallucination loops.

A CLI tool for personal RAG that retrieves data from Notion, Obsidian, Apple Notes, etc., stored in Qdrant and exposed as an MCP server.

Building a Watsonx.ai Chatbot RAG Server with MCP compatible with Claude Desktop.

Weaviate Mcp Server Weaviate MCP server enables seamless integration between AI agents and external services. Built on the Model Context Protocol, it provides standardized access to tools and data for AI-powered workflows.

Manages work memories and shares context between AI tools using a local SQLite database.

Local-first MCP tools for searching and drafting from your X/Twitter archive.

Premium, consistent memory and long-term storage across AI applications. Remote MCP server.

Yourmemory is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

Building a Remote MCP Server on Cloudflare (Without Auth) is an MCP server on MCP.so — view details, tools, and install instructions.

Basic Memory MCP server integration, for Zed Editor's Assistant.

A server for Zero-Vector's hybrid vector-graph persona and memory management system, featuring advanced LangGraph workflow capabilities.

Zero Vector MCP is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.