🧠 Self-hosted, privacy-first MCP server for long-term AI memory — save, search & summarize Claude/ChatGPT chat history locally. No cloud, no database.

Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.

MCP server that connects agents to Elasticsearch indices for search, query, and inspection.

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 190,000+ scientists worldwide. 165 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.

MCP Server for SigNoz

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

Query and Summarize your chat messages.

A comprehensive MCP server for Metabase with 70+ tools.

FalkorDB-MCPServer is an MCP (Model Context Protocol) server that connects LLMs to FalkorDB

Algorand Local Model Context Protocol (Server & Client)

Mazzap, part of the Mazzstack: essentials for the Singularity Slowlife

📦️ A fast, secure MCP server that extends its capabilities through WebAssembly plugins.

A SEC EDGAR MCP (Model Context Protocol) Server

The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently

Neo4j Skills for Coding and other Agents including Cypher

The Developer's Guide to AI - A Field Guide for the Working Developer

Comprehensive MCP server exposing dozens of capabilities to AI agents: multi-provider LLM delegation, browser automation, document processing, vector ops, and cognitive memory systems

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

Kappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures grounding strength, preserves disagreement, traces everything to source.

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

LeanKG: Stop Burning Tokens. Start Coding Lean.

A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while improving response times.

A memory system using mem0 for AI applications. Enables long-term memory for AI agents as a drop-in MCP server.