packmate-mcp 0.1.0

MCP server for Packmate — CTF network traffic analyzer

packmate-mcp

MCP server that exposes Packmate — a CTF network traffic analyzer — to LLM tooling like Claude Desktop or Claude Code.

Features

• 16 tools across services, patterns, streams, packets, and pcap-file lifecycle.
• Packet content formatting tuned for LLM consumption: transcript (auto text/hex with client→server markers), text, hex, python_bytes, base64.
• Three-layer trimming (per-packet, total budget, packet count) to keep responses inside the LLM context window.
• Pure async httpx client over Packmate's HTTP API + Basic Auth.
• stdio transport — drop into Claude Desktop or Claude Code as a subprocess.

Install

uvx packmate-mcp        # ephemeral, recommended
# or
pip install packmate-mcp

Configure

All settings are env vars with the PACKMATE_MCP_ prefix:

Env var	Default	Description
PACKMATE_MCP_BASE_URL	http://localhost:65000	Packmate base URL
PACKMATE_MCP_LOGIN	(required)	Basic auth login
PACKMATE_MCP_PASSWORD	(required)	Basic auth password
PACKMATE_MCP_TIMEOUT_SECONDS	30	HTTP request timeout
PACKMATE_MCP_LOG_LEVEL	INFO	DEBUG/INFO/WARNING/ERROR/CRITICAL

See .env.example for a starter template.

Claude Desktop

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

{
  "mcpServers": {
    "packmate": {
      "command": "uvx",
      "args": ["packmate-mcp"],
      "env": {
        "PACKMATE_MCP_BASE_URL": "http://localhost:65000",
        "PACKMATE_MCP_LOGIN": "BinaryBears",
        "PACKMATE_MCP_PASSWORD": "..."
      }
    }
  }
}

Restart Claude Desktop fully (Cmd+Q / tray → Quit), then look for the connector under the + menu.

Claude Code

claude mcp add packmate uvx packmate-mcp \
  --env PACKMATE_MCP_LOGIN=BinaryBears \
  --env PACKMATE_MCP_PASSWORD=...

Tools

See the design spec for the full list. Highlights:

• get_stream(stream_id, content_format='transcript') — fetch a stream with packets pre-rendered. Most common entrypoint.
• create_pattern + pattern_lookback + list_streams(pattern_id=…) — the native Packmate workflow for content search.
• set_stream_favorite(stream_id, favorite=True/False) — pin interesting streams.
• pcap_status / pcap_start — kick off pcap-file processing in FILE mode.

Development

git clone https://github.com/umbra2728/packmate-mcp
cd packmate-mcp
uv sync --dev
uv run pytest
uv run ruff check src tests
uv run mypy src

Manual smoke test against a real Packmate instance:

# in the Packmate repo
docker compose up -d
# back here
PACKMATE_MCP_LOGIN=BinaryBears PACKMATE_MCP_PASSWORD=123456 \
  uv run mcp dev src/packmate_mcp/server.py

This opens the MCP Inspector and lets you exercise each tool.

Releasing

This package ships to PyPI via Trusted Publishing. The workflow runs on any v*.*.* tag.

1. Bump version in pyproject.toml.
2. Add a ## [X.Y.Z] - YYYY-MM-DD section to CHANGELOG.md.
3. Commit, tag, push:

git commit -am "Release vX.Y.Z"
git tag vX.Y.Z
git push --tags

One-time setup (not in repo state):

• On PyPI → Account settings → Add a pending publisher with repo umbra2728/packmate-mcp, workflow release.yml, environment pypi.
• On GitHub → repo → Settings → Environments → create pypi.

License

MIT.