dbt-mcp vs mcp-server-qdrant

Side-by-side comparison to help you pick between these two MCP servers.

	dbt-mcp by dbt-labs	mcp-server-qdrant by qdrant
Stars	★ 562	★ 1,397
30d uses	—	—
Score	53	55
Official	—	—
Categories	DatabaseDeveloper ToolsAI / LLM Tools	DatabaseAI / LLM ToolsDeveloper Tools
Language	Python	Python
Last commit	this month	1 mo ago

dbt-mcp · Summary

A comprehensive MCP server for dbt Core, Fusion, and Platform, providing SQL, semantic layer, and dbt CLI tools.

mcp-server-qdrant · Summary

Official Qdrant MCP server for semantic memory storage and retrieval using vector embeddings.

dbt-mcp · Use cases

AI-powered data analysis and SQL generation in dbt projects
Automating dbt project documentation and model lineage analysis
Integrating dbt with AI agents for automated data modeling and testing

mcp-server-qdrant · Use cases

Building AI applications with long-term memory capabilities
Code search and retrieval for development environments
Enhancing LLM applications with vector-based semantic search

dbt-mcp · Install

Installation

Claude Desktop

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "dbt": {
      "command": "npx",
      "args": ["@dbt-labs/dbt-mcp"],
      "env": {
        "DBT_PROJECT_DIR": "/path/to/your/dbt/project"
      }
    }
  }
}

Other MCP clients

Use the experimental MCP bundle (dbt-mcp.mcpb) available in the latest release assets. Follow the [mcpb CLI](https://github.com/modelcontextprotocol/mcpb) documentation to install or inspect the bundle.

npm install -g @modelcontextprotocol/mcpb
mcpb install https://github.com/dbt-labs/dbt-mcp/releases/download/vX.X.X/dbt-mcp.mcpb

mcp-server-qdrant · Install

Installation Options

Using uvx

QDRANT_URL="http://localhost:6333" \
COLLECTION_NAME="my-collection" \
EMBEDDING_MODEL="sentence-transformers/all-MiniLM-L6-v2" \
uvx mcp-server-qdrant

Using Docker

docker build -t mcp-server-qdrant .
docker run -p 8000:8000 \
  -e FASTMCP_SERVER_HOST="0.0.0.0" \
  -e QDRANT_URL="http://your-qdrant-server:6333" \
  -e QDRANT_API_KEY="your-api-key" \
  -e COLLECTION_NAME="your-collection" \
  mcp-server-qdrant

Claude Desktop Configuration

Add to claude_desktop_config.json:

{
  "qdrant": {
    "command": "uvx",
    "args": ["mcp-server-qdrant"],
    "env": {
      "QDRANT_URL": "https://xyz-example.eu-central.aws.cloud.qdrant.io:6333",
      "QDRANT_API_KEY": "your_api_key",
      "COLLECTION_NAME": "your-collection-name",
      "EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.