Vector Search

Self-maintaining knowledge vault: figure-level search, auto-wikilinks, and memory compression.

对话记忆搜索 MCP Server — 自动导入 Claude Code / WorkBuddy / Pi 对话，FTS5 全文搜索 + BGE-M3 语义搜索，开箱即用

MCP Server for Research Assistant with Vector Database Management

Local semantic search for markdown notes — MCP server

MCP server for RAG (Retrieval-Augmented Generation) operations with local document indexing - Fork with enhancements

Add your description here

基于mcp的rag服务

The full Qdrant API as 58 MCP tools: plain-text semantic/BM25/hybrid search and a search advisor.

A Python MCP server that gives LLMs persistent, searchable access to project context — documentation, architecture decisions, and session notes.

MCP server for PostgreSQL with semantic search via pgvector and OpenAI embeddings

An MCP server that indexes and retrieves Plesk documentation.

Read and write to Pinecone from Claude Desktop with Model Context Protocol.

Read and write to Pinecone from Claude Desktop with Model Context Protocol.

MCP server for PDF processing and semantic search with ChromaDB

MCP server for creating rich lexical graphs from PDFs in Neo4j. Supports multiple parse modes (pymupdf, docling, page-image), pluggable chunking strategies, document versioning, and structural verification.

A unified Neo4j MCP server for GraphRAG: vector search, fulltext search, search-augmented Cypher queries, write operations, and multimodal image retrieval

MCP server for extracting entities from text chunks and creating entity graphs in Neo4j. Supports 100+ LLM providers via LiteLLM.

MongoDB生物入侵研究MCP服务器 - 自然语言查询工具

Lightweight semantic memory service with ONNX embeddings - no PyTorch required. 80% smaller install size. REST API + MCP transport.

Semantic memory layer for AI applications. REST API + MCP transport + knowledge graph + autonomous consolidation. Works with 14+ AI clients. Self-host, zero cloud cost.