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MCP servers and skills: search, filter by where they run, and compare.
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LocalRedis Vector Library. The AI-native Python client for Redis.
OfficialPythonMIT★ 432No key
Redis MCP Serverredis
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MCP servers and skills: search, filter by where they run, and compare.
Redis Vector Library. The AI-native Python client for Redis.
OfficialPythonMIT★ 432No key
Redis's official MCP server for strings, hashes, streams, JSON, pub/sub and vector search, over stdio.
OfficialPythonMIT★ 636Needs Redis
An official Qdrant Model Context Protocol (MCP) server implementation
OfficialPythonApache-2.0★ 1.6kNo key
Practical MCP server for large BigQuery datasets. Supports vector search. Keep LLM context small while staying fast and allowing only safe read-only actions.
PythonMIT★ 10No key
A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma
OfficialPythonApache-2.0★ 600No key
A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.
PythonApache-2.0★ 4.5kNo key
Turn your Readwise library into a blazing-fast, self-hosted semantic search engine – complete with nightly syncs, vector search API, Prometheus metrics, and a streaming MCP server for LLM clients.
PythonMIT★ 24No key
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
PythonApache-2.0★ 2.0kNo key
TiDB AI SDK: Unified Multi-Modal Data Platform for AI Apps & Agents
PythonApache-2.0★ 33No key
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.
PythonApache-2.0★ 583No key
Vector MCP Server for AI Agents - Supports ChromaDB, Couchbase, MongoDB, Qdrant, and PGVector
PythonMIT★ 15No key
The memory substrate for AI agents and developer tools. Git-versioned, file-native, MCP-first.
PythonMIT★ 46No key
MCP server combining Qdrant vector search, Neo4j knowledge graphs, and Crawl4AI web intelligence with agentic RAG capabilities. FastMCP 2.0 architecture with enterprise security, monitoring, and Kuber
PythonMIT★ 9No key
Graph RAG on SQLite for AI agents: vector retrieval + hand-curated wikilink graph + cross-encoder rerank, with a zero-token per-turn memory ledger. Working pilot.
PythonMIT★ 9No key
263 tools for Databricks via MCP. SDK-first, covers Unity Catalog, SQL, Compute, Jobs, Serving, Vector Search, Apps, Lakebase, and more.
PythonApache-2.0Few starsNeeds a key
The CockroachDB MCP Server is a natural language interface designed for agentic applications to manage, monitor and query data in CockroachDB.
PythonMIT★ 12No key
Gomaa — Autonomous Agent Memory OS. Persistent memory system for AI agents with Obsidian vault integration, hybrid RRF search, knowledge graphs, security gates, and MCP server.
PythonApache-2.0★ 33No key
A memory graph designed for the agent that uses it, not the human who feeds it. Engrama reconstructs context from associations on demand, replacing the "stuff everything into the prompt" reflex with t
PythonApache-2.0★ 9No key
Query-cost foresight for AI agents across 12 database engines — preflight SQL/NoSQL/graph/warehouse/vector queries before you run them (MCP server).
PythonMITFew starsNo key
PythonMIT★ 2Few starsNo key
Team knowledge evaporates daily — pairing sessions, debugging context, architectural rationale lost to Slack. Distillery captures it at the point of creation, connects it into a living graph, and surf
MCPLink only★ 25
Semantic search knowledge base for MCP-enabled AI assistants. Index local files or GitHub repos, query with natural language. Built on LanceDB vector storage. Works with Claude Desktop, Cursor, and ot
PythonMIT★ 24No key
Memory that abstains instead of guessing: agent memory on your own Postgres with a verdict, confidence and provenance on every hit, and a calibrated refusal when nothing clears the threshold.
PythonAGPL-3.0★ 6Needs a key
Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.
PythonApache-2.0★ 9No key
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