Bigbugai
@bigbugAi
About Bigbugai
MCP server exposing BigBugAI tools for trending tokens and token analysis.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"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"
}
}
}
}Tools
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Overview
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.
Frequently asked questions
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.
Basic information
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