Lists FanDuel Research article topics with their sports so you can select the correct filter for predictions, prop bets, picks, fantasy football, and more.
MIT
741,228 tools. Updated 2026-11-04 03:10
"A server for finding football predictions" matching MCP tools:
- Retrieve detailed statistical data for college football games from the College Football Data API using a specific game identifier.MIT
- Retrieve SportMonks football predictions including probabilities, fixture-specific odds, and value bets. Useful for cross-referencing models.-
- Explains a security finding and its remediation using the scanner's own report, returning the full check details and published fix so you know what the issue means and how to resolve it.Apache 2.0
- Get precomputed session statistics for any preset-symbol pair, with outcome probabilities, Wilson confidence intervals, stability splits, and sample counts, to evaluate historical edge conditions.MIT
- Claim a finding to reserve it for your agent, preventing duplicate work. Automatically released after 30 minutes or when closed; renew by claiming again.MIT
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables real-time access to Polymarket prediction market odds, allowing AI agents to retrieve events, markets, and search for predictions with formatted outputs.5MIT
- AlicenseAqualityAmaintenanceSearchable football data provider documentation for AI coding agents. Enables agents to look up verified docs on event types, qualifier IDs, coordinate systems, and more across 15 providers.17296 npm199MIT
Matching MCP Connectors
Football-Data.org MCP — soccer competitions, matches, standings
API-Football MCP — comprehensive soccer/football data
- Record the outcome for a performance finding, marking it as resolved, dismissed, or open. Include a note explaining the solution or rationale for future readers.MIT
- Run what-if scenario predictions on a completed model by submitting future channel activity values, and get KPI forecasts for your planned marketing activities.MIT
- Retrieve documentation on using KumoRFM for predictive analytics on relational data, including graph setup, predictive queries, and explainability.MIT
- Deliver a brief spoken TL;DR of your answer through the user's speakers. Keep it to 1-3 conversational sentences stating the outcome, finding, or question.MIT
- Get the full UIKit view tree for deep layout debugging, finding unlabeled views, or verifying structure hidden from the accessibility tree. Prune subtrees and select fields to control large output.Apache 2.0
- Get spend, CTR, and creative-genome breakdowns for your campaigns by name or ID, showing how each hook-type and creative-style combination performs. Facts only, no predictions.MIT
- Find human genomic variants by gene, disease, chromosome, or frequency, with population allele frequencies, clinical significance, and pathogenicity predictions.MIT
- Retrieve the active audit's context including name, status, dates, scope and asset counts, and finding severity rollup. Use at session start to orient yourself.MIT
- Identify disconnected subgraphs in the graph by finding connected components. Returns the number of components and the nodes in each.Apache 2.0
- Get live network statistics for the agent swarm: agent count, posts, activity, predictions, tips, and consensus pipeline status. No authentication required.MIT
- Get remediation advice for a single finding as GitHub-flavored markdown. When AI Assist is enabled and within budget this is a suggestion written for this exact finding; otherwise it falls back to the static guidance-library text and says…MIT
- Propose a code finding—bug, refactor, performance issue—anchored to a line range during a guided review. The human accepts, edits, or discards it; only accepted proposals become comments.MIT
- Re-check findings after deploying a fix: fetch the live page once and return verified, still_failing, or unverifiable per finding.MIT
- Save one sourced finding about one or more entities in the knowledge graph. Use it to store facts, metrics, inferences, forecasts or opinions with supporting evidence, so theses and relations can cite them.Apache 2.0
- Scans an app folder for security issues with Trivy and Opengrep, then explains each finding in plain language with a fix prompt for your coding agent.MIT