Vector Databases
Specialized database systems designed for storing, indexing, and querying high-dimensional vector embeddings. Enables similarity search, semantic retrieval, and powering features like AI context retrieval, nearest neighbor search, and RAG workflows for LLMs.
MCP ServersBrowse all →
- AlicenseAqualityAmaintenanceMCP-native persistent memory layer for AI agents across Claude Code, Cursor, VS Code, and OpenClaw. Powered by hybrid vector search, BM25, and cross-encoder reranking with a published 73.1% LoCoMo benchmark accuracy.84Apache 2.0

Redis MCP Serverofficial
AlicenseBqualityBmaintenanceThe official Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis.532,884 PyPI625MIT
Chroma MCP Serverofficial
AlicenseAqualityDmaintenanceA server that provides data retrieval capabilities powered by Chroma embedding database, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering.1324,959 PyPI594Apache 2.0
Astra DB MCP Serverofficial
AlicenseAqualityCmaintenanceA Model Context Protocol server that allows Large Language Models to interact with Astra DB databases, providing tools for managing collections and records through natural language commands.169 npm42Apache 2.0- AlicenseAqualityAmaintenancePersistent AI memory server with 3-layer hybrid search (vector + FTS5 + keyword), confidence scoring via Reciprocal Rank Fusion, episodic/profile memory, and 16 tools. Zero LLM dependency. Works standalone with Claude Desktop and Claude Code. MIT licensed.34545 PyPI6MIT

Chilon Recallofficial
AlicenseAqualityAmaintenanceLocal-first knowledge retrieval MCP server that turns private text documents into a source-backed knowledge base, enabling retrieval, comparison, summaries, and review outlines for any local MCP client while keeping source paths and index operations visible.13260 npm2MIT
mem0-mcpofficial
AlicenseAqualityCmaintenanceSelf-hosted Mem0 MCP server integrating Qdrant, Neo4j, and Ollama for semantic memory search, graph entity relationships, and memory management via OpenMemory API.64MIT- AlicenseAqualityCmaintenanceEnhanced MCP knowledge graph memory server with cloud persistence and semantic search, acting as a drop-in replacement for the standard memory server.1074 npmMIT
- AlicenseAqualityBmaintenanceProvides persistent memory for AI coding agents via MCP, enabling teams to share and recall facts across sessions. Automatically captures, classifies, and curates knowledge from supported transcript sources.1824 npm1AGPL 3.0
- AlicenseAqualityAmaintenancePrivacy-first local document search using semantic search. Runs entirely on your machine with no cloud services, supporting PDF, DOCX, TXT, and Markdown files.2295,156 npm401MIT

Moorcheh MCP Serverofficial
AlicenseAqualityDmaintenanceEnables interaction with Moorcheh AI services including namespace management, document embedding, vector search, and AI-powered answers through the Model Context Protocol.1312 npm4Apache 2.0
Baidu Vector Database MCPofficial
AlicenseBqualityDmaintenanceA server that provides access to Baidu Cloud Vector Database functionality through the Model Context Protocol, enabling LLM applications to perform vector searches and database operations via natural language.143Apache 2.0
mcp-server-qdrantofficial
AlicenseBqualityCmaintenanceThis repository is an example of how to create a MCP server for Qdrant, a vector search engine.21,527Apache 2.0- AlicenseBqualityBmaintenanceConnect your Pinecone projects to Cursor, Claude, and other AI assistants13,233 npm72Apache 2.0

zvec-mcp-serverofficial
AlicenseAqualityDmaintenanceEnables LLMs to interact with Zvec vector database through tools for collection management, document operations, vector search, and AI-powered embeddings.1715 PyPI11Apache 2.0
grafeo-mcpofficial
AlicenseAqualityCmaintenanceEnables AI agents to interact with an embedded graph database (GrafeoDB) via the Model Context Protocol, providing tools for graph CRUD, GQL queries, full-text and vector search, and graph algorithms.234Apache 2.0- AlicenseAqualityAmaintenanceArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.101,158Apache 2.0

openserverless-mcpofficial
AlicenseAqualityBmaintenanceAn MCP server for OpenServerless that exposes action tools for creating, invoking, and managing API endpoints with integrated services like S3, PostgreSQL, Redis, and Milvus.81Apache 2.0
Zilliz MCP Serverofficial
AlicenseAqualityCmaintenanceEnables AI agents to interact with Milvus vector databases and Zilliz Cloud through natural language, allowing users to create clusters, manage collections, insert vector data, and perform semantic searches directly from their AI assistants.1633Apache 2.0
tigergraph-mcpofficial
AlicenseAqualityBmaintenanceModel Context Protocol (MCP) server for TigerGraph that lets AI agents interact with TigerGraph through the MCP standard using pyTigerGraph's async APIs.69214 PyPI3Apache 2.0- AlicenseAqualityCmaintenanceAn MCP server that provides semantic memory on top of Qdrant vector search, with tools to store and retrieve information using embeddings.2Apache 2.0
- AlicenseAqualityAmaintenanceLocal RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, and 12 MCP tools. Zero external servers, pure ONNX in-process.13264 PyPI279MIT
- AlicenseAqualityBmaintenanceA persistent semantic memory system for Claude Code, using vector search and a judgment ledger to surface prior decisions and calibrate predictions.17MIT
- AlicenseAqualityBmaintenanceMemory for facts that change. A retrieved record is marked SUPERSEDED, with when a later record replaced it, so an assistant does not answer with a value that is no longer true. Single file, numpy the only dependency, runs with a local embedding model or none at all.7Apache 2.0

Memgraph MCP Serverofficial
AlicenseCqualityNot gradedmaintenanceA lightweight server implementation of the Model Context Protocol that connects Memgraph database with LLMs, allowing users to interact with graph databases through natural language.125MIT- AlicenseAqualityDmaintenanceMCP server for OpenAI Vector Store API, managing vector stores, files, file batches, and semantic search.216 npmMIT
- AlicenseAqualityCmaintenanceAn MCP server that provides AI assistants with access to Multi Theft Auto: San Andreas function documentation through vector similarity search and smart keyword expansion. It enables efficient information retrieval with features like deprecation warnings and SQLite caching for technical documentation.1141 npm8GPL 3.0
- AlicenseAqualityDmaintenanceA local-first personal RAG memory system that turns AI conversation history into a searchable, retrievable knowledge base via MCP, enabling LLMs to semantically search past conversations.29AGPL 3.0
- AlicenseBqualityAmaintenanceEnables local AI coding agents and web agents to store, retrieve, and search memories using hybrid semantic, lexical, and knowledge-graph ranking with cognitive decay modeling in a local on-device database.15MIT
- AlicenseBqualityDmaintenanceA high-performance, persistent memory system for the Model Context Protocol (MCP) providing vector search capabilities and efficient knowledge storage using libSQL as the backing store.661 npm24MIT
MCP ConnectorsBrowse all →
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
Stateless NMI + cosine fusion with entropy-driven alpha calibration
Cloudflare Workers MCP server: embedding-search
Shared cross-LLM long-term memory over MCP: semantic recall, sessions, and media (pgvector).
Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
Agent-driven search: build, import, tune, search, and score result quality — all over MCP.
Token-efficient MCP memory for Markdown vaults. Tiered search, GraphRAG, AI memories.
Remote ChromaDB vector database MCP server with streamable HTTP transport
- AmberOAuthcom.ambermem
Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.
MemoryOracle - 10 agent memory tools: vector store, recall, summarization, redaction.
Operate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.
Elasticsearch + MongoDB + Redis Stack Generator (Elasticsearch/Elasticsearch)
RAG-as-a-service MCP sunucusu — çok-kiracılı koleksiyon yönetimi, metin ingest (chunk+embed+upsert,…
- XataOAuthio.github.xataio
Xata MCP server lets AI agents interact with your Xata projects, and Postgres database branches.
Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.
NeuralBrain MCP Server - RAG, Vector Memory, LLM Routing, Agent Identity, x402 Payments
Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.
- ContextaOAuthcc.contexta
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.