MCP Servers

Qdrant MCP

✓★ 1,500

Semantic search using the Qdrant vector database.

Qdrant

✓★ 1,500

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

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.

Pinecone

✓★ 70

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

GraphRAG

★ 62

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

QDrant Loader

★ 44

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

Chroma

★ 41

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

Engram

★ 40

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

Local FAISS

★ 32

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

Infino

★ 30

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

Scholar Feed

★ 9

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

Zero-Vector MCP

★ 9

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

LanceDB

★ 7

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

Supavec MCP Server

★ 4

Fetch relevant content from Supavec, a vector database service.

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.

ChromaDB MCP

★ 1

An MCP server for vector storage and retrieval using ChromaDB.

Weaviate MCP Client

★ 1

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

Alexandria

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.

ChromaDB

Provides AI assistants with persistent memory using ChromaDB vector storage.

Knowledge Graph Memory Server

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

Infino

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

LanceDB Node.js Vector Search

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