Forecasting MCP allows LLMs to interact with a forecasting platform by managing forecasts, points, and fetching relevant news articles efficiently.
Added on:
Created by:
Apr 22 2025
Forecasting MCP allows LLMs to interact with a forecasting platform by managing forecasts, points, and fetching relevant news articles efficiently.
Added on:
Created by:
Apr 22 2025
Bayesmaxxing
Featured
What is Forecasting MCP?
This Model Context Protocol (MCP) facilitates interactions with a dedicated forecasting website. It supports making, updating, and deleting forecasts, as well as retrieving forecast data and news articles to inform predictions. The MCP streamlines how language models access and manipulate forecasting data, enabling automated and dynamic forecasting workflows. It uses a set of standardized tools for forecast management and news integration, ensuring comprehensive control and insight into forecasting activities. Suitable for research, automation, and professional forecasting tasks, it enhances real-time decision-making processes by integrating news and data retrieval functionalities.
Who will use Forecasting MCP?
- Data Scientists
- Forecast Analysts
- Developers working on forecasting tools
- Research institutions
- Financial analysts
How to use the Forecasting MCP?
- Step 1: Install dependencies with `pip install -r requirements.txt`
- Step 2: Create a `.env` file with API URL, credentials, and optional news API key
- Step 3: Run the server with `uvicorn forecasting:app --reload`
- Step 4: Use the available tools to create, update, delete, or retrieve forecast data through API calls
Forecasting MCP's Core Features & Benefits
The Core Features
- get_forecasts
- get_forecast_data
- create_forecast
- update_forecast
- delete_forecast
- get_forecast_points
- create_point
- get_news_articles
The Benefits
- Automates forecast management
- Enables real-time news integration
- Standardizes interaction with forecasting data
- Supports multiple forecast operations
- Suitable for research and automation
Forecasting MCP's Main Use Cases & Applications
- Automated forecast updates based on news
- Research on forecast accuracy and data trends
- Integration of forecast management into financial analysis tools
- AI-driven decision support systems
FAQs of Forecasting MCP
Developer
- bayesmaxxing
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