Side-by-Side Model Context Protocol Comparison
Footdigest vs Hub MCP
In-depth architectural comparison of the Footdigest and Hub MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Footdigest
Developer Tools · Remote HTTP/SSE
Quality: 55/100 (Good) | Auth: No auth required
Hub MCP
Developer Tools · Remote HTTP/SSE
Quality: 77/100 (Great) | Auth: API Key required
Verdict Summary: Choose Footdigest if you need specialized Developer Tools tools running via a hosted cloud SSE transport. Choose Hub MCP if your workspace requires Developer Tools integration with remote web transport. Both servers can be configured concurrently in your client's
mcpServers manifest.Which MCP Server Should You Choose?
F
Choose Footdigest when:
- You need dedicated capabilities in the Developer Tools domain.
- You prefer remote streaming HTTP/SSE transport architecture.
- Your security boundary fits: No auth required (Free / Open Source).
- Primary tools included: get_match_probabilities, get_model_card, simulate.
Choose Hub MCP when:
- You need dedicated capabilities in the Developer Tools domain.
- You prefer remote streaming HTTP/SSE transport architecture.
- Your security boundary fits: API Key required (Free / Open Source).
- You have access to required keys:
HUB_PAT_TOKEN, MCP_AUTH_TOKEN. - Primary tools included: search, query, architectures.
Feature & Specification Comparison
Tools & Capabilities Breakdown
Footdigest Tools (14)
get_match_probabilities
Footdigest: calibrated home/draw/away probabilities and expected goals for a football matchup, from the backtested Dixon-Coles + Elo engine. Ask by `match_id`, or by `home_team` and `away_team` names for any matchup. Every answer is sourced and timestamped; see get_model_card for the methodology.
get_model_card
Footdigest: the live model card behind every prediction. Returns the backtested RPS versus a naive baseline, the out-of-sample size, the calibration table, the methodology, and an explicit list of what is not measured. Use it to audit any number the other tools return.
simulate
Footdigest: run the seeded Monte Carlo over a competition's group stage and return each team's advancement probabilities. Pass `trials` and `seed` to control and reproduce the run; the same inputs always return the same numbers. Identify the competition by its slug (e.g. "world-cup-2026").
get_tournament_odds
Footdigest: each team's chances of qualifying from the group stage, reaching the final, and winning the competition, from a seeded strength-aware Monte Carlo. Pass `trials` and `seed` to control and reproduce the run. Identify the competition by its slug (e.g. "world-cup-2026").
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Footdigest Configuration
Hub MCP Configuration
Frequently Asked Questions
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