DocketBird MCP Server
An MCP server for searching and downloading court documents via the DocketBird API. Deployed on DigitalOcean with Docker, using OAuth 2.0 so each user brings their own DocketBird API key.
Tools
| Tool | Description |
|---|---|
docketbird_get_case_details |
Get case info, parties, and paginated documents |
docketbird_search_documents |
Search documents within a case by keyword |
docketbird_list_cases |
List cases for company or user scope |
docketbird_list_courts |
Get court codes and case types |
docketbird_download_document |
Download a single document by ID |
docketbird_download_files |
Download all available documents for a case |
Requirements
- Python 3.11
- uv package manager
Setup
- Install uv:
curl -LsSf https://astral.sh/uv/install.sh | sh
- Create and activate a virtual environment:
uv venv
source .venv/bin/activate
- Install dependencies:
uv pip install -r requirements.txt
Running the Server
# stdio transport (uses DOCKETBIRD_API_KEY env var, no OAuth)
DOCKETBIRD_API_KEY="your-key" python docketbird_mcp.py --transport stdio
# HTTP transport with OAuth (Streamable HTTP at /mcp)
python docketbird_mcp.py --transport http
# Then visit http://localhost:8080/signup to create an account
Connecting to the Deployed Server
See DocketBird_MCP_Installation_Guide.pdf for the full walkthrough with screenshots.
Quick version
- Register at https://app.docketbird-mcp.com/signup with your email, password, and DocketBird API key
- In Claude.ai or Claude Desktop, add a remote MCP server with URL
https://app.docketbird-mcp.com/mcp - Claude auto-discovers OAuth, redirects you to log in, and connects
Stdio (local development)
For Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json) or Cursor (~/.cursor/mcp.json):
{
"mcpServers": {
"docketbird-mcp": {
"command": "uv",
"args": [
"run",
"--directory",
"/path/to/docketbird-mcp-plus",
"python",
"docketbird_mcp.py"
],
"env": {
"DOCKETBIRD_API_KEY": "YOUR_KEY"
}
}
}
}
Authentication
The server uses OAuth 2.0 with PKCE for HTTP mode. Each user registers with their own DocketBird API key, which is stored server-side and attached to OAuth tokens. The SDK handles the protocol endpoints automatically:
/.well-known/oauth-authorization-server- OAuth metadata discovery/register- Dynamic Client Registration/authorize- Authorization endpoint (redirects to/login)/token- Token exchange and refresh
In stdio mode, the DOCKETBIRD_API_KEY env var is used directly (no OAuth).
Security
- OAuth 2.0 with PKCE (no shared API key on the server)
- Per-user DocketBird API keys stored in SQLite with bcrypt-hashed passwords
- Rate limiting: 30 requests per 60 seconds per IP
- HTTPS-only downloads with SSRF domain allowlist
- Path traversal protection on file downloads
- Container runs as non-root
mcpuser - GitHub Actions pinned to commit SHAs
- Dependencies pinned to exact versions
Deployment
Deployed via Docker and GitHub Actions. Pushes to main trigger automatic deployment.
- Domain:
app.docketbird-mcp.com - Docker volume:
docketbird-dataat/app/data(SQLite auth database) - Health check:
https://app.docketbird-mcp.com/health - Caddy reverse proxy handles HTTPS (Let's Encrypt)
Local Docker Build
docker build -t docketbird-mcp:latest .
docker run -d \
--name docketbird-mcp \
--restart=always \
-e SERVER_URL="http://localhost:8040" \
-v docketbird-data:/app/data \
-p 8040:8080 \
docketbird-mcp:latest
Reference Data
courts.json- Court codes and namescase_types.json- Case type abbreviations and examples
Acknowledgment
This project is built upon the original docketbird-mcp developed in conjunction with @federicoburman and the Gravix.AI team.