MCP Catalogs
Home

mcp-brasil vs mcp-server-qdrant

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

mcp-brasil
by Mcp-Brasil
mcp-server-qdrant
by qdrant
Stars★ 1,561★ 1,397
30d uses
Score5655
Official
Categories
AI / LLM ToolsDeveloper ToolsDatabase
DatabaseAI / LLM ToolsDeveloper Tools
LanguagePythonPython
Last commit1 mo ago1 mo ago

mcp-brasil · Summary

Comprehensive MCP server providing access to 70 Brazilian public APIs with 533 tools for various government data sources.

mcp-server-qdrant · Summary

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

mcp-brasil · Use cases

  • Query legislative projects about AI in the Chamber of Deputies in 2024 and identify their authors
  • Analyze economic trends by comparing Selic interest rates with inflation (IPCA) over the past year
  • Find the top 10 largest federal government contracts in 2024 and identify the suppliers

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

mcp-brasil · Install

Install with pip or uv:

pip install mcp-brasil
uv add mcp-brasil

For Claude Desktop, add to claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-brasil": {
      "command": "uvx",
      "args": ["--from", "mcp-brasil", "python", "-m", "mcp_brasil.server"],
      "env": {
        "TRANSPARENCIA_API_KEY": "sua-chave-aqui",
        "DATAJUD_API_KEY": "sua-chave-aqui",
        "META_ACCESS_TOKEN": "seu-token-aqui"
      }
    }
  }
}

API keys are optional - without them, 36 APIs still function normally.

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.