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 →
- AlicenseAqualityBmaintenancePersistent 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.Last updated211MIT
- 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.Last updated10868Apache 2.0

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.Last updated13542Apache 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.Last updated161338Apache 2.0
Redis MCP Serverofficial
AlicenseBqualityCmaintenanceThe official Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis.Last updated51509MIT
Baidu Vector Database MCPofficial
AlicenseBqualityCmaintenanceA 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.Last updated143Apache 2.0- AlicenseAqualityAmaintenanceSemantic search over Nordic economic data — market announcements, quarterly reports (162 companies), macro data (NO/SE/DK/FI), commodity prices, and press releases. 180,000+ vectors.Last updated426MIT
- AlicenseAqualityBmaintenanceA production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse retrieval and cross-encoder reranking.Last updated142MIT

mcp-server-qdrantofficial
AlicenseBqualityCmaintenanceThis repository is an example of how to create a MCP server for Qdrant, a vector search engine.Last updated21,390Apache 2.0- AlicenseBqualityCmaintenancePinecone Developer MCPLast updated11,76265Apache 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.Last updated1633Apache 2.0- AlicenseBqualityAmaintenanceProvides semantic memory and persistent storage for Claude, leveraging ChromaDB and sentence transformers for enhanced search and retrieval capabilities.Last updated31,834
- AlicenseAqualityCmaintenanceProvides semantic search capabilities by connecting Claude Desktop to a Cloudflare Workers backend powered by Vectorize. It enables natural language querying of knowledge bases using vector similarity and edge-based embedding generation.Last updated2MIT
- AlicenseBqualityCmaintenanceEnables Claude to interact with core AWS services like S3, EC2, RDS, and CloudWatch, along with a generic SDK wrapper for any AWS operation. It also supports cost monitoring and optional vector store capabilities for document ingestion and search.Last updated103The Unlicense
- AlicenseAqualityBmaintenanceRAG MCP server for PDFs, YouTube, GitHub repos, and Discord exports. Index documents and query with citations via LangChain and Chroma.Last updated51MIT
- AlicenseAqualityCmaintenanceProject-scoped semantic workspace memory for AI coding assistants. Watches your project files and auto-indexes code and docs into Qdrant using tree-sitter semantic chunking and hybrid search (dense + sparse + RRF)Last updated61
- AlicenseAqualityCmaintenanceAn MCP server that streams K-line (candlestick) data from decentralized exchanges (DEXs) to power your AI agents and workflows.Last updated14MIT
- AlicenseAqualityCmaintenanceProvides persistent context management for AI agents by storing and querying semantic information using Upstash Vector DB and Google AI embeddings. It enables semantic search, batch operations, and metadata filtering to help agents retrieve relevant stored knowledge.Last updated63MIT
- AlicenseAqualityBmaintenanceCline MCP integration that allows users to save, search, and format memories with semantic understanding, providing tools to store and retrieve information using vector embeddings for meaning-based search.Last updated129MIT
- AlicenseAqualityCmaintenanceSelf-hosted knowledge backend for AI agents. Provides 11 MCP tools for hybrid vector + keyword search, container-isolated knowledge bases, and 4 storage connectors (S3, Azure Blob, MinIO, filesystem). Built with .NET, runs via Docker.Last updated1110
- AlicenseAqualityCmaintenanceAn MCP server that enables LLMs to perform semantic and fulltext searches within Neo4j while executing complex, search-augmented Cypher queries for GraphRAG applications. It provides tools for database schema discovery and supports multi-provider embeddings to facilitate advanced graph traversals.Last updated52MIT
- AlicenseBqualityCmaintenanceA flexible memory system for AI applications that supports multiple LLM providers and can be used either as an MCP server or as a direct library integration, enabling autonomous memory management without explicit commands.Last updated37294MIT
- AlicenseBqualityCmaintenanceHardware-accelerated codebase mapping that indexes Git repositories into Postgres/pgvector and serves code search, relationships, and static analysis results via a stdio MCP server.Last updated8MIT
- AlicenseAqualityBmaintenanceHeadless geometric memory engine for AI agents — no Vector DB, no cloud, no API key. Store and retrieve by meaning using native Vector Symbolic Architecture (NVSA) math over O_DIRECT NVMe mapping. Runs entirely on your machine via MCP.Last updated316AGPL 3.0
- AlicenseBqualityCmaintenanceA 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.Last updated619424MIT
- AlicenseAqualityDmaintenanceA natural language interface that enables LLMs and agentic applications to manage, monitor, and query data in CockroachDB through MCP (Model Content Protocol).Last updated2910PythonMIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that enables semantic search capabilities by providing tools to manage Qdrant vector database collections, process and embed documents using various embedding services, and perform semantic searches across vector embeddings.Last updated4323MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server implementation that enables LLMs to interact with NebulaGraph database for graph exploration, supporting schema understanding, queries, and graph algorithms.Last updated527Apache 2.0

Vectorizeofficial
Alicense-qualityDmaintenanceVectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.Last updated17105MIT- AlicenseBquality-maintenanceEnables AI assistants to interact with Meilisearch through a standardized interface, supporting index and document management, search capabilities, settings configuration, task monitoring, and experimental vector search.Last updated68
MCP ConnectorsBrowse all →
MCP server for German & EU law. Verified, citable legal context for any LLM. Daily updates from official sources, hosted in Germany
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
MemoryOracle - 10 agent memory tools: vector store, recall, summarization, redaction.
Remote ChromaDB vector database MCP server with streamable HTTP transport
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
Token-efficient MCP memory for Markdown vaults. Tiered search, GraphRAG, AI memories.
Same functionality, consuming only 1/20 of the context window tokens.