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birdeatsbug-mcp-server

v0.1.2

Published

MCP server for BirdeatsBug — extracts console logs, network logs, and video frames from bug reports for AI-powered root-cause analysis

Readme

birdeatsbug-mcp-server

An MCP (Model Context Protocol) server that connects AI assistants to BirdeatsBug bug reports — extracting console logs, network logs, and video frames for deep, AI-powered root-cause analysis.

What it does

  • Launches headless Chromium, navigates to a BirdeatsBug report URL, and intercepts all runtime API responses
  • Extracts structured console logs, network requests, and video recording URLs
  • Downloads the bug recording and extracts JPEG video frames for visual AI analysis
  • Merges errors and network failures into a chronological event timeline
  • Auto-detects the likely bug moment and clusters frames around it

Tools

| Tool | Description | |---|---| | inspect_birdeatsbug_report | Metadata, access state, artifact counts | | get_birdeatsbug_console_logs | Console entries (level, message, timestamp) | | get_birdeatsbug_network_logs | Network requests (method, URL, status, duration) | | get_birdeatsbug_video_frames | JPEG frames extracted from the bug recording for vision AI | | generate_birdeatsbug_report | All-in-one: title, description, timeline, errors, failures, and video frames |

Installation

Option A — npx (no install needed)

npx birdeatsbug-mcp-server

Option B — global install

npm install -g birdeatsbug-mcp-server
birdeatsbug-mcp-server

Note: On first run, the postinstall script installs the Chromium browser (~200 MB). This only happens once.


VS Code (GitHub Copilot / Continue)

Add to your global MCP config at ~/Library/Application Support/Code/User/mcp.json (macOS):

{
  "servers": {
    "birdeatsbug": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "birdeatsbug-mcp-server"]
    }
  }
}

Or add to a workspace's .vscode/mcp.json:

{
  "servers": {
    "birdeatsbug": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "birdeatsbug-mcp-server"]
    }
  }
}

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "birdeatsbug": {
      "command": "npx",
      "args": ["-y", "birdeatsbug-mcp-server"]
    }
  }
}

Restart Claude Desktop after saving.


Usage

Each tool accepts a url pointing to any app.birdeatsbug.com/... report URL.

Quick start — full analysis:

"Use generate_birdeatsbug_report on https://app.birdeatsbug.com/sessions/YOUR_SESSION_ID"

Video frame analysis with focus on a specific moment:

"Use get_birdeatsbug_video_frames on https://app.birdeatsbug.com/sessions/YOUR_SESSION_ID with focusTimeSec 8"

generate_birdeatsbug_report parameters

| Parameter | Default | Description | |---|---|---| | url | required | BirdeatsBug report URL | | frameCount | 16 | Number of video frames to extract (max 30) | | focusTimeSec | auto | Timestamp (seconds) to cluster frames around. Auto-detected from first error if omitted | | focusWindowSec | 4 | Window width (seconds) around the focus timestamp | | logLimit | 100 | Max console/network log entries to include |


Private sessions

Most sessions require login. To access private reports, generate a Playwright storage state with your logged-in cookies and pass it via environment variable:

BIRDEATSBUG_STORAGE_STATE=/path/to/storageState.json npx birdeatsbug-mcp-server

Or in your MCP config:

{
  "servers": {
    "birdeatsbug": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "birdeatsbug-mcp-server"],
      "env": {
        "BIRDEATSBUG_STORAGE_STATE": "/path/to/storageState.json"
      }
    }
  }
}

Requirements

  • Node.js >= 18
  • Chromium (installed automatically via playwright install chromium)
  • ffmpeg (bundled via ffmpeg-static — no system install needed)

License

MIT