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BirdNet-Pi MCP Server

Source

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Overview

BirdNet-Pi MCP Server is a Python-based Model Context Protocol (MCP) server designed for BirdNet-Pi integration, enabling users to retrieve and analyze bird detection data.

To use the BirdNet-Pi MCP Server, clone the repository, set up a virtual environment, install the required dependencies, configure the server with environment variables, and run the server to access its API endpoints.

  • Bird detection data retrieval with date and species filtering - Detection statistics and analysis - Access to audio recordings - Daily activity patterns tracking - Report generation capabilities
  1. Analyzing bird detection data over specific time periods.
  2. Generating reports on bird activity and detections.
  3. Accessing audio recordings of bird detections for further study.

Add to your AI client

Use these steps to connect BirdNet-Pi MCP Server in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "dmontgomery40-mcp-local-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-dmontgomery40-mcp-local-server-mcp-mirror"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "dmontgomery40-mcp-local-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-dmontgomery40-mcp-local-server-mcp-mirror"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "dmontgomery40-mcp-local-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-dmontgomery40-mcp-local-server-mcp-mirror"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "dmontgomery40-mcp-local-server-mcp-mirror": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-dmontgomery40-mcp-local-server-mcp-mirror"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "dmontgomery40-mcp-local-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-dmontgomery40-mcp-local-server-mcp-mirror"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "dmontgomery40-mcp-local-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-dmontgomery40-mcp-local-server-mcp-mirror"
      ]
    }
  }
}

FAQ

What are the system requirements for running the server?

The server requires Python 3.8+, FastAPI, Uvicorn, and other dependencies listed in `requirements.txt`.

How do I configure the server?

The server can be configured using environment variables for paths to detection files, audio directories, and report directories.

How can I access the server once it's running?

The server runs on `http://localhost:8000`, and you can access its API endpoints from there.7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":739,"uuid":"95c51ed6-8f21-49ae-8dbe-839b075e2820","name":"DMontgomery40_mcp-local-server","title":"BirdNet-Pi MCP Server","description":"Mirror of","avatar_url":"https://avatars.githubusercontent.com/u/192820360?v=4","created_at":"2024-12-30T03:28:26.575Z","updated_at":"2025-02-23T07:18:49.836Z","status":"created","author_name":"MCP-Mirror","author_avatar_url":"https://avatars.githubusercontent.com/u/192820360?v=4","tags":"birdnet,mcp-server,python-server","category":"research-and-data","is_featured":false,"sort":1,"url":"https://github.com/MCP-Mirror/DMontgomery40_mcp-local-server","target":"_self","content":"$29","summary":"$2a","img_url":null,"type":null,"metadata":null,"user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]

Research and data