A
license-
qualityD
maintenanceEnables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities.
5
MIT
Why this server?
Enables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities.
Why this server?
An MCP server that enables AI models to retrieve information from Ragie's knowledge base through a simple 'retrieve' tool, implying RAG capabilities which depend on a vector database.
AlicenseBqualityCmaintenanceAn MCP server that enables AI models to retrieve information from Ragie's knowledge base through a simple 'retrieve' tool.18489MITWhy this server?
A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
AlicenseAqualityCmaintenanceA Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.641MITWhy this server?
Aims to be portable, local, easy, and convenient to support semantic/graph-based retrieval of txtai "all in one" embeddings database, supporting vector search.
Alicense-qualityDmaintenanceAn MCP server aimed to be portable, local, easy and convenient to support semantic/graph based retrieval of txtai "all in one" embeddings database. Any txtai embeddings db in tar.gz form can be loaded71MITWhy this server?
Enables semantic search and RAG (Retrieval Augmented Generation) over your Apple Notes, a form of vector retrieval.
Alicense-qualityFmaintenanceEnables semantic search and RAG (Retrieval Augmented Generation) over your Apple Notes.2,673410MITWhy this server?
A Model Context Protocol server that enables semantic search and retrieval of Apple Notes content, allowing AI assistants to access, search, and create notes using on-device embeddings.
Alicense-qualityCmaintenanceA Model Context Protocol server that enables semantic search and retrieval of Apple Notes content, allowing AI assistants to access, search, and create notes using on-device embeddings.2,6732MITWhy this server?
A Python server that enables AI assistants to perform hybrid search queries against Apache Solr indexes through the Model Context Protocol, combining keyword precision with vector-based semantic understanding.
Why this server?
Model Context Protocol (MCP) server implementation for semantic search and memory management using TxtAI. This server provides a robust API for storing, retrieving, and managing text-based memories with semantic search capabilities.
Flicense-qualityDmaintenanceModel Context Protocol (MCP) server implementation for semantic search and memory management using TxtAI. This server provides a robust API for storing, retrieving, and managing text-based memories with semantic search capabilities. You can use Claude and Cline AI Also14Why this server?
This project is intended as an example of how to create a MCP server for Qdrant, a vector search engine.
mcp-server-qdrantofficial
AlicenseBqualityCmaintenanceThis repository is an example of how to create a MCP server for Qdrant, a vector search engine.21,495Apache 2.0