Qdrant MCP Server

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Qdrant MCP Server

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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.
mcp-server-qdrantofficial
qdrant
A
security
A
license
A
quality
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Last updated -
2
615
Python
Apache 2.0
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.
MCP Server for Qdrant
Jimmy974
-
security
F
license
-
quality
A Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.
Last updated -
Why 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.
Elasticsearch MCP Server
awesimon
A
security
A
license
A
quality
Connects 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 updated -
11
105
7
TypeScript
MIT License
Why 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.
Elasticsearch MCP Server
da1y
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security
F
license
-
quality
A 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 updated -
1
JavaScript
Why 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.
Elasticsearch 7.x MCP Server
imlewc
A
security
A
license
A
quality
Provides an MCP protocol interface for interacting with Elasticsearch 7.x databases, supporting comprehensive search functionality including aggregations, highlighting, and sorting.
Last updated -
3
1
Python
Apache 2.0
Why 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.
Elasticsearch MCP Server
cr7258
A
security
A
license
A
quality
Facilitates 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 updated -
6
127
Python
Apache 2.0
Why this server?
Chroma is another vector database and this MCP server allows for semantic document search.
Chroma MCP Server
privetin
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security
A
license
-
quality
A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
Last updated -
17
Python
MIT License
Why 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.
MCP-Ragdocs
qpd-v
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security
A
license
-
quality
A 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 updated -
14
74
JavaScript
Apache 2.0
Why 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.
Simple Memory Extension MCP Server
gmacev
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security
A
license
-
quality
An 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 updated -
5
TypeScript
MIT License
Why this server?
This server has capabilities to load txtai embeddings databases.
kb-mcp-server
Geeksfino
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security
A
license
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quality
An 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 loaded
Last updated -
26
Python
MIT License

Qdrant MCP Server

mcp-server-qdrantofficial