mcp-server-qdrantofficial
A
securityA
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qualityThis repository is an example of how to create a MCP server for Qdrant, a vector search engine.
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Qdrant MCP Server
Why this server?
This server is specifically designed to create an MCP server for Qdrant, a vector search engine, directly matching the user's query.
Why this server?
This server provides functionality to store and retrieve information from a Qdrant vector database, which aligns with the user's interest in Qdrant and MCP servers.
-securityFlicense-qualityA Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.Last updatedWhy this server?
While not Qdrant, Elasticsearch is another popular search engine and this MCP server would enable interaction with it, which might be useful for similar use cases.
AsecurityAlicense-qualityConnects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.Last updated1147718MITWhy this server?
While not Qdrant, Elasticsearch is another popular search engine and this MCP server would enable interaction with it, which might be useful for similar use cases.
-securityFlicense-qualityA Model Context Protocol server that enables LLMs to interact with Elasticsearch clusters, allowing them to manage indices and execute search queries using natural language.Last updated2Why this server?
While not Qdrant, Elasticsearch is another popular search engine and this MCP server would enable interaction with it, which might be useful for similar use cases.
AsecurityAlicense-qualityProvides an MCP protocol interface for interacting with Elasticsearch 7.x databases, supporting comprehensive search functionality including aggregations, highlighting, and sorting.Last updated39Apache 2.0Why this server?
While not Qdrant, Elasticsearch is another popular search engine and this MCP server would enable interaction with it, which might be useful for similar use cases.
AsecurityAlicense-qualityFacilitates interaction with Elasticsearch clusters by allowing users to perform index operations, document searches, and cluster management via a Model Context Protocol server and natural language commands.Last updated19259Apache 2.0Why this server?
Chroma is another vector database and this MCP server allows for semantic document search.
AsecurityAlicense-qualityA Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.Last updated641MITWhy this server?
An MCP server that enables retrieval and processing of documentation through vector search. It is another way to create a RAG application, and can be modified to use the Qdrant database.
-securityAlicense-qualityA Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.Last updated8132Apache 2.0Why this server?
This server enables AI agents to extend their context window by storing, retrieving, and searching memories, a useful feature for interacting with vector databases.
-securityAlicense-qualityAn MCP server that extends AI agents' context window by providing tools to store, retrieve, and search memories, allowing agents to maintain history and context across long interactions.Last updated9MIT