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Bigbugai MCP Server

@bigbugAi

基本情報

カテゴリ

その他

トランスポート

stdio

作者

bigbugAi

投稿者

Ramakrishna Bachu

Bigbugai MCP Server について

MCP server exposing BigBugAI tools for trending tokens and token analysis.

Bigbugai 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": {
    "bigbugai": {
      "command": "uv",
      "args": [
        "-m",
        "bigbugai_mcp.server_stdio"
      ],
      "env": {
        "BIGBUGAI_MCP_API_KEY": "your-secret",
        "BTUNIFIED_API": "https://api.bigbug.ai",
        "MCP_RATE_LIMIT": "60/hour"
      }
    }
  }
}

Bigbugai 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 Bigbugai?

Bigbugai is a production-ready MCP server that exposes BigBugAI tools via stdio transport for local MCP clients (Claude Desktop, Cursor) and optional HTTP/SSE transport (FastAPI + uvicorn) for remote access. It is intended for developers who want to integrate BigBugAI token intelligence into AI assistants.

How to use Bigbugai?

Install with uv pip install -e .[dev], set the required BIGBUGAI_MCP_API_KEY environment variable, then run uv run -m bigbugai_mcp.server_stdio for stdio mode or uv run -m bigbugai_mcp.server_http for HTTP mode. For Claude Desktop, add a bigbugai entry to claude_desktop_config.json with the appropriate command, args, and env.

Key features of Bigbugai

  • Auth via API key (environment variable)
  • Per-key rate limiting with configurable moving window
  • Typed Pydantic schemas for tool input/output
  • Clean error handling and JSON-stable outputs
  • Two transport modes: stdio (local) and HTTP/SSE (remote)
  • Test, lint, and type-check configuration included

Use cases of Bigbugai

  • Fetch trending tokens from BigBugAI API in an AI chat
  • Analyze a token by contract address and chain
  • Integrate BigBugAI tools into Claude Desktop or Cursor
  • Expose BigBugAI data over HTTP/SSE for remote clients

よくある質問

1

What transports does Bigbugai support?

It supports stdio transport for local MCP clients and HTTP/SSE transport (FastAPI + uvicorn) for remote access.

2

How do I provide an API key?

Set the `BIGBUGAI_MCP_API_KEY` environment variable. Optionally, `BIGBUGAI_API_KEY` or `BIGBUGAI_API_TOKEN` can be used for upstream HTTP calls; they fall back to `BIGBUGAI_MCP_API_KEY` if not set.

3

What rate limits are applied?

Rate limiting is per API key using a moving window strategy, configurable via the `MCP_RATE_LIMIT` environment variable (default: 60/hour).

4

What Python version is required?

Python 3.11 or higher.

5

What tools does Bigbugai expose?

Two tools: `get_trending_tokens(limit)` and `token_analysis_by_contract(chain, address)`. Their endpoints are documented in the README with fallback paths and response normalization.

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