Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@DocketBird MCP Serversearch for 'summary judgment' in case 3:23-cv-01234"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 |
| Get case info, parties, and paginated documents |
| Search documents within a case by keyword |
| List cases for company or user scope |
| Get court codes and case types |
| Download a single document by ID |
| 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 | shCreate and activate a virtual environment:
uv venv
source .venv/bin/activateInstall dependencies:
uv pip install -r requirements.txtRunning 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 accountConnecting 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/mcpClaude 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
mcpuserGitHub 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.comDocker volume:
docketbird-dataat/app/data(SQLite auth database)Health check:
https://app.docketbird-mcp.com/healthCaddy 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:latestReference 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.
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