KinielaGPT | MCP Servers

What is KinielaGPT?

KinielaGPT is a Model Context Protocol (MCP) server designed to enhance your Quiniela predictions through advanced data analysis. It combines official LAE probabilities with deep contextual analysis, including historical matchups, recent streaks, standings, and performance as home or away teams.

How to use KinielaGPT?

Once the MCP is set up, you can interact with your LLM (Claude, GPT, Gemini, etc.) in natural language. Simply ask questions like:

"What is the latest available Quiniela?"
"Show me the matches for matchday 26 of the 2025/2026 season."
"What are the probabilities for each match in the current matchday?"

Key features of KinielaGPT?

Result Prediction: Generates forecasts using three strategies: conservative (maximum probability), risky (balances probability and context), or personalized (indicating the number of 'ones', 'x', and 'twos').
Comprehensive Match Analysis: Integrates LAE probabilities, historical match data (last 10 years), streaks, standings, and context for reasoned predictions.
Surprise Detection: Identifies discrepancies between official probabilities and actual performance to anticipate potential surprises.
Team Form Evaluation: Assesses detailed performance: recent scores, current streaks, home/away performance, and standings trends.
Flexible Data Querying: Access both interpreted analyses and raw data to draw your own conclusions.
Native MCP Server: Includes 7 specialized tools, fully compatible with Claude Desktop, VS Code, and other MCP clients.

Use cases of KinielaGPT?

Predicting outcomes of football matches.
Analyzing team performance trends.
Identifying potential surprises in match outcomes.
Generating personalized Quiniela predictions.

FAQ from KinielaGPT?

Can KinielaGPT predict all football matches?
Yes! KinielaGPT can analyze and predict outcomes for various football matches.
Is KinielaGPT free to use?
Yes! KinielaGPT is free to use for everyone.
How accurate are the predictions?
KinielaGPT is designed to provide accurate predictions based on comprehensive data analysis, but the quality may vary depending on the match context.

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