Bigbugai
About
MCP server exposing BigBugAI tools for trending tokens and token analysis.
Details
- Author
- bigbugAi
- Downloads
- 306
- Categories
- Other
Jump to
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
BigbugaiCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"bigbugai": {
"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"
}
}
}
}
}
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"
}
}
}
uses BIGBUGAI_API_KEY/BIGBUGAI_API_TOKEN/BIGBUGAI_MCP_API_KEY from env
uv run python scripts/smoke_trending.py -l 5 Token analysisSign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.



