bayesmaxxing/forecasting-mcp
3.1
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This is a Model Context Protocol (MCP) implementation for interacting with a forecasting website, enabling LLMs to manage forecasts and access external information.
Tools
Functions exposed to the LLM to take actions
get_forecasts
List forecasts by category and status
get_forecast_data
Get details for a specific forecast
update_forecast
Create a new forecast point for a forecast
get_forecast_points
Get all forecast points for a forecast
query_perplexity
Query the Perplexity API for additional information to inform forecasts
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client