How do I install the qdrant mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `QDRANT_URL`, `QDRANT_API_KEY`, `COLLECTION_NAME`, `EMBEDDING_MODEL`, `QDRANT_LOCAL_PATH`, `FASTMCP_SERVER_HOST` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Qdrant MCP Server

Implement semantic memory layer on top of the Qdrant vector search engine

Local serverstdioPython

What is the Qdrant MCP Server?

Qdrant mcp server connects Qdrant to AI assistants that speak the Model Context Protocol. Implement semantic memory layer on top of the Qdrant vector search engine.

What Qdrant does

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

An official Model Context Protocol server for keeping and retrieving memories in the Qdrant vector search engine. It acts as a semantic memory layer on top of the Qdrant database.

Practical notes

Written in Python.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Configuration

Variable	Description	Required
QDRANT_URL	Endpoint or connection string the server talks to.	Yes
QDRANT_API_KEY	Credential the server authenticates with.	Yes
COLLECTION_NAME	Configuration value read at startup.	Optional
EMBEDDING_MODEL	Configuration value read at startup.	Optional
QDRANT_LOCAL_PATH	Filesystem location the server is allowed to use.	Optional
FASTMCP_SERVER_HOST	Endpoint or connection string the server talks to.	Optional

Example prompts to try

“Use Qdrant to Input.”
“Use Qdrant to Returns.”
“Use Qdrant to Tools.”

Frequently asked questions

Implement semantic memory layer on top of the Qdrant vector search engine Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.