Footalytics

What Footalytics does

Footalytics provides football-focused data and analysis through the Model Context Protocol. Its capabilities cover four main areas: graded football predictions, fixtures, team ratings, and settled results. These categories support agents that need to inspect upcoming or historical football information, compare team strength, or review how predictions performed after matches were settled.

The service is aimed at AI clients rather than direct human use. Once connected, an MCP-compatible assistant can request the available football information as part of a conversation or an agent workflow. The Sports category is relevant for developers building football research, prediction-review, or fixture-analysis assistants.

How it works

Footalytics is exposed as a remote Streamable HTTP MCP endpoint at https://footalytics.farvor.com/mcp. Instead of launching a local server process, an MCP client connects to that URL and communicates with the service over HTTP using the Streamable HTTP transport.

Access uses OAuth. A client must therefore complete the service's authorization flow before it can use the protected MCP capabilities. After authorization, the connected agent can work with the football data exposed by Footalytics, including predictions, fixtures, ratings, and settled outcomes.

This remote arrangement can be useful when the client environment should consume a hosted football service rather than manage a local installation. It also means the agent's access depends on the remote endpoint and its authentication flow being available.

Limitations and notes

Footalytics includes a free starter allowance, which gives developers a way to begin using the service before selecting a broader access arrangement. The service is remote, so network access is required; it is not described as a package that runs independently on the client machine.

OAuth is part of the connection model and should be treated as a setup requirement. The available subject matter is specifically football, with the documented scope centered on graded predictions, fixtures, team ratings, and settled results. Developers looking for unrelated sports data or general-purpose analytics should evaluate whether those football-specific capabilities fit their workflow.