MCP Servers

Qdrant

✓★ 1,505

Implement semantic memory layer on top of the Qdrant vector search engine

Pinecone

✓★ 70

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

Chroma

★ 567

Embeddings, vector search, document storage, and full-text search with the open-source AI application database

Milvus

★ 233

Search, Query and interact with data in your Milvus Vector Database.

Pinecone

★ 149

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

ogham-mcp

★ 110

Persistent shared memory for AI agents. Hybrid search (pgvector + tsvector), knowledge graph, cognitive scoring - 97.2% Recall@10 on LongMemEval

mem0-mcp-selfhosted

★ 96

Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.

GraphRAG

★ 62

Query a hybrid graph (Neo4j) and vector (Qdrant) database for powerful semantic and graph-based document retrieval.

QDrant Loader

★ 51

A toolkit for loading data into the Qdrant vector database, supporting AI-powered development workflows.

Engram

★ 46

Persistent memory layer for AI agents with semantic search, consolidation, and cross-session intelligence via MCP.

Chroma

★ 41

A vector database server powered by Chroma, enabling semantic document search, metadata filtering, and document management.

Local FAISS

★ 32

About Local FAISS vector store as an MCP server – drop-in local RAG for Claude / Copilot / Agents.

cowork-semantic-search

★ 28

Local semantic search over documents (txt, md, pdf, docx, pptx, csv). Fully offline, multilingual, hybrid vector + keyword search via LanceDB. No API keys, no cloud.

Chroma MCP Server

★ 26

An MCP server for the Chroma embedding database, providing persistent, searchable working memory for AI-assisted development with features like automated context recall and codebase indexing.

Qdrant Memory

★ 24

A knowledge graph implementation with semantic search powered by the Qdrant vector database.

MCP Memory libSQL

★ 24

A persistent memory system for MCP using libSQL, providing vector search and efficient knowledge storage.

Local Context Memory MCP

★ 12

A production-ready persistent memory system for AI agents, offering searchable memory across sessions with semantic search and support for multiple database backends.

Zero-Vector MCP

★ 9

A high-performance vector database server for AI persona memory management.

Scholar Feed

★ 9

MCP server for searching 600,000+ CS/AI research papers with citation graphs, full text, embeddings, and BibTeX.

LanceDB

★ 7

A vector database server for storing, searching, and managing vector embeddings.

memory-v2

★ 3

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.

Alexandria

★ 1

Semantic search over 4.6M+ text chunks from 20,000+ classical philosophy and humanities works — Plato, Aristotle, Kant, Nietzsche, and thousands more. Multilingual (Greek, Latin, German, French, English). No install needed.

Weaviate MCP Client

★ 1

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

Knowledge Graph Memory Server

★ 0

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

Infino

★ 0

Infino — keyword, vector, hybrid, and SQL retrieval over data on object storage, for AI agents.

ChromaDB

★ 0

Provides AI assistants with persistent memory using ChromaDB vector storage.

LanceDB Node.js Vector Search

★ 0

Vector search using the LanceDB vector database and Ollama embedding models.