FootballBin MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_match_predictionsC | Get AI-powered predictions for Premier League and Champions League matches including half-time score, full-time score, next goal scorer, and corner predictions. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined and distinct by default.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against for patterns or conventions.
One tool is too few for a server focused on football match predictions, as it suggests a limited scope that may not cover related operations like historical data, team statistics, or user preferences. This feels thin for the apparent domain.
The server is severely incomplete for football predictions, as it only provides predictions without supporting tools for data retrieval, updates, or other predictive features like odds analysis or match scheduling. This creates significant gaps for agent workflows.