Bigbugai

Name: Bigbugai
Author: bigbugAi

@bigbugAi

代码仓库

关于 Bigbugai

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

#crypto #tokens #analysis

基本信息

分类

其他

传输方式

stdio

发布者

bigbugAi

提交者

Ramakrishna Bachu

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"
      }
    }
  }
}

工具

未检测到工具

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

FAQ from Bigbugai

What transports does Bigbugai support?

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

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.

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).

What Python version is required?

Python 3.11 or higher.

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.