Semantic Search MCP Servers

Connect to the Hugging Face Hub APIs programmatically: semantic search for spaces and papers, exploration of datasets and models, and access to all compatible MCP Gradio tool spaces!

Interact & query with Meilisearch (Full-text & semantic search API)

Vector database server for semantic document search and metadata filtering, built on Chroma

Server that provides local document management and semantic search capabilities. Upload documents, search them with AI embeddings, and integrate seamlessly with MCP clients like Claude Desktop and vs code.

Knowledge graph memory system built on Neo4j with semantic search, temporal awareness.

Interact with large OpenAPI docs using built-in semantic search for endpoints. Allows for customizing the MCP server prefix.

(by amornpan) - A Model Context Protocol server implementation that provides RAG capabilities through Qdrant vector database integration, enabling AI agents to perform semantic search and document retrieval with local or cloud-based embedding generation s

This MCP server for storing and retrieving text passages locally based on their semantic meaning.

Connect Claude to your Substack/Medium writing, enabling semantic search and analysis of your published content.

MCP service for Tablestore, features include adding documents, semantic search for documents based on vectors and scalars, RAG-friendly, and serverless.

Python Streamable HTTP Server you can run locally to interact with memvid storage and semantic search.

Provides up-to-date documentation context for a specific Rust crate to LLMs via an MCP tool, using semantic search (embeddings) and LLM summarization.

Local-first system capturing screen/audio with timestamped indexing, SQL/embedding storage, semantic search, LLM-powered history analysis, and event-triggered actions - enables building context-aware AI agents through a NextJS plugin ecosystem.