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DocketBird MCP Server

@gravix-db

リポジトリ

基本情報

カテゴリ

その他

ライセンス

Apache-2.0

トランスポート

stdio

作者

gravix-db

DocketBird MCP Server について

MCP server for APIs hosted by DocketBird.

DocketBird MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "docketbird-mcp": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

DocketBird MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is DocketBird MCP Server?

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.

How to use DocketBird MCP Server?

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).

Key features of DocketBird MCP Server

  • Retrieve comprehensive case details and documents.
  • Download specific documents by DocketBird ID.
  • List cases belonging to an account.
  • List all available courts and case types.
  • Supports both stdio and SSE transports.
  • Docker deployment for cloud servers.

Use cases of DocketBird MCP Server

  • Querying details for a specific court case (e.g., “txnd-3:2007-cv-01697”).
  • Downloading a particular document from a case using its DocketBird ID.
  • Listing all cases associated with a user account.
  • Exploring available courts and case types before filing.
  • Deploying the server to a cloud environment for team access.

よくある質問

1

What are the runtime requirements?

Python 3.11 and the uv package manager are required.

2

How do I obtain an API key?

You need a DocketBird API key, set as the `DOCKETBIRD_API_KEY` environment variable.

3

Does the server support remote access?

Yes, it can be run with SSE transport and deployed to a cloud server using Docker.

4

What transport types are available?

The server supports both stdio (for local clients) and SSE (for remote connections).

5

Is there a prototype agent available?

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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