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Bigbugai MCP Server

@bigbugAi

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

bigbugAi

提交者

Ramakrishna Bachu

关于 Bigbugai MCP Server

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

#crypto#tokens#analysis

Bigbugai MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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