What are the runtime requirements?
Python 3.11 and the uv package manager are required.
@gravix-db
Basic information
MCP server for APIs hosted by DocketBird.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"docketbird-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
DocketBird MCP Server is an MCP server that provides access to DocketBird’s court case data and document management functionality. It is intended for developers and legal professionals who need to query case information, download documents, and manage court data through the Model Context Protocol.
Install uv and dependencies, set the DOCKETBIRD_API_KEY environment variable, then run the server with either uv run docketbird_mcp.py --transport stdio or --transport sse. Configure the MCP client by adding the server configuration to the appropriate JSON file (e.g., ~/.cursor/mcp.json or ~/Library/Application Support/Claude/claude_desktop_config.json).
Python 3.11 and the uv package manager are required.
You need a DocketBird API key, set as the `DOCKETBIRD_API_KEY` environment variable.
Yes, it can be run with SSE transport and deployed to a cloud server using Docker.
The server supports both stdio (for local clients) and SSE (for remote connections).
Yes, a prototype agent (`db_agent_prototype.py`) is included that uses OpenAI’s GPT-4.1 to interact with the server via natural language.

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