# How to integrate College football data MCP with Hermes

```json
{
  "title": "How to integrate College football data MCP with Hermes",
  "toolkit": "College football data",
  "toolkit_slug": "college_football_data",
  "framework": "Hermes",
  "framework_slug": "hermes-agent",
  "url": "https://composio.dev/toolkits/college_football_data/framework/hermes-agent",
  "markdown_url": "https://composio.dev/toolkits/college_football_data/framework/hermes-agent.md",
  "updated_at": "2026-05-06T08:06:57.269Z"
}
```

## Introduction

Hermes is a 24/7 autonomous agent that lives on your computer or server — it remembers what it learns and evolves as your usage grows.
This guide explains the easiest and most robust way to connect your College football data account to Hermes. You can do this through either Composio Connect CLI or Composio Connect MCP. For personal use we recommend the CLI, but you won't go wrong with MCP either.

## Also integrate College football data with

- [OpenAI Agents SDK](https://composio.dev/toolkits/college_football_data/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/college_football_data/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/college_football_data/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/college_football_data/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/college_football_data/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/college_football_data/framework/openclaw)
- [CLI](https://composio.dev/toolkits/college_football_data/framework/cli)
- [Google ADK](https://composio.dev/toolkits/college_football_data/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/college_football_data/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/college_football_data/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/college_football_data/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/college_football_data/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/college_football_data/framework/crew-ai)

## TL;DR

### What is Composio Connect?
Composio Connect is a consumer offering that lets anyone plug 1,000+ applications directly into their agent harness — including Hermes. It can:
- Search and load tools from relevant toolkits on-demand, reducing context usage.
- Chain multiple tools to accomplish complex workflows via a remote workbench, without excessive back-and-forth with the LLM.
- Manage app authentication end-to-end with zero manual overhead.

## Connect College football data to Hermes

### Integrating College football data with Hermes
### Using Composio Connect CLI
1. Install the Composio CLI
Run the install script directly, or paste https://composio.dev/hermes into your Hermes chat box to have it installed for you.

```bash
curl -fsSL https://composio.dev/install | bash
```

## What is the College football data MCP server, and what's possible with it?

The College football data MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your College Football Data account. It provides structured and secure access to comprehensive college football stats, schedules, advanced analytics, and recruiting data, so your agent can fetch game results, analyze team performance, retrieve broadcast info, and explore historical metrics on your behalf.
- Retrieve game schedules and results: Instantly fetch upcoming games, past scores, and matchup outcomes filtered by season, week, team, or conference.
- Analyze advanced team and player stats: Have your agent pull in-depth box scores, advanced metrics, and season-long analytics to compare team or player performance.
- Access media and broadcast information: Quickly get details on TV, radio, and streaming coverage for selected games, including broadcast schedules and platforms.
- Review team talent and recruiting rankings: Let your agent track composite team talent scores and recruiting class data across seasons for any program.
- Explore historical conference and division data: Effortlessly trace a team's conference membership history, division alignment, and related metadata over time.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `COLLEGE_FOOTBALL_DATA_ADVANCED_BOX_SCORE` | Advanced Box Score | Tool to retrieve advanced box score metrics for a single college football game. Use after selecting a specific game to access team- and player-level advanced analytics. |
| `COLLEGE_FOOTBALL_DATA_ADVANCED_GAME_STATS` | Advanced Game Stats | Tool to retrieve advanced team metrics at the game level. Use when detailed offensive and defensive metrics (success rates, explosiveness, havoc) are needed. |
| `COLLEGE_FOOTBALL_DATA_ADVANCED_SEASON_STATS_TEAM` | Advanced Season Stats by Team | Tool to retrieve advanced season metrics aggregated by team and season. Use after selecting season and team filters. |
| `COLLEGE_FOOTBALL_DATA_BETTING_LINES` | Betting Lines | Tool to fetch betting lines and totals by game and provider. Use when you need current or historical betting line data filtered by specific criteria. |
| `COLLEGE_FOOTBALL_DATA_COMPOSITE_TEAM_TALENT` | Composite Team Talent | Tool to fetch composite team talent rankings by season. Use when you need 247Sports team talent composites for specified seasons. |
| `COLLEGE_FOOTBALL_DATA_CONFERENCE_MEMBERSHIPS_HISTORY` | Conference Memberships History | Tool to retrieve historical conference memberships for teams, including years active and division. Use when you need to trace a team's conference history over time. |
| `COLLEGE_FOOTBALL_DATA_DIVISIONS_BY_CONFERENCE` | Divisions by Conference | Tool to list FBS/FCS conference divisions with active years and metadata. Use after specifying an optional season year to filter active divisions. |
| `COLLEGE_FOOTBALL_DATA_GET_DRIVE_DATA` | Get Drive Data | Tool to retrieve drive-level data and results. Use when analyzing detailed drives for specified games after filtering by season, team, or week. |
| `COLLEGE_FOOTBALL_DATA_GET_GAME_MEDIA` | Get Game Media | Tool to retrieve game media information and broadcast schedules (TV, radio, web, etc.). Use after selecting season year and optional filters (week, team, conference). Example: "Get week 3 TV and radio outlets for 2025 SEC games." |
| `COLLEGE_FOOTBALL_DATA_GET_GAMES_AND_RESULTS` | Get Games and Results | Tool to retrieve games and results for a given season/week/team. Use when you need game schedules or outcomes filtered by specific criteria. |
| `COLLEGE_FOOTBALL_DATA_GET_PLAYER_GAME_STATS` | Get Player Game Stats | Tool to fetch player statistics at the game level. Use when you need detailed stats for players in games after filtering parameters. |
| `COLLEGE_FOOTBALL_DATA_GET_TEAM_GAME_STATS` | Get Team Game Stats | Tool to fetch team statistics at the game level. Use when you need detailed box score stats for games after filtering parameters. |
| `COLLEGE_FOOTBALL_DATA_LIST_COACHES_AND_HISTORY` | List Coaches and History | Tool to get coaching records and history. Use when you need coaches’ season-by-season data with optional filters. |
| `COLLEGE_FOOTBALL_DATA_LIST_CONFERENCES` | List Conferences | Tool to list all college football conferences. Use after authenticating to retrieve the up-to-date list of conferences. |
| `COLLEGE_FOOTBALL_DATA_LIST_FBS_TEAMS` | List FBS Teams | Tool to list FBS teams for a given season. Use after selecting the season year to retrieve all FBS teams. |
| `COLLEGE_FOOTBALL_DATA_LIST_FCS_TEAMS` | List FCS Teams | Tool to list FCS teams for a given season and conference. Use when you need a list of FCS programs filtered by season year and conference. |
| `COLLEGE_FOOTBALL_DATA_LIST_TEAMS` | List Teams | Tool to list college football teams. Use when you need a list of teams filtered by season year and/or conference. |
| `COLLEGE_FOOTBALL_DATA_LIST_VENUES_STADIUMS` | List Venues and Stadiums | Tool to list college football venues with metadata (name, capacity, location, etc.). Use when you need detailed venue information for a specific season. |
| `COLLEGE_FOOTBALL_DATA_NFL_DRAFT_PICKS` | NFL Draft Picks | Tool to list NFL Draft picks. Use when you need draft pick data by year, round, team, player, etc. |
| `COLLEGE_FOOTBALL_DATA_NFL_DRAFT_POSITIONS` | NFL Draft Positions | Tool to list NFL draft positions. Use when you need a standardized set of NFL positions for draft analysis. |
| `COLLEGE_FOOTBALL_DATA_NFL_DRAFT_TEAMS` | NFL Draft Teams | Tool to list NFL teams used in draft endpoints. Use when preparing to retrieve NFL draft data by team. |
| `COLLEGE_FOOTBALL_DATA_PLAY_BY_PLAY_DATA` | Play-by-Play Data | Tool to fetch play-by-play data for college football games. Use when you need detailed play logs filtered by season, week, team, or game. |
| `COLLEGE_FOOTBALL_DATA_PLAY_STATS_PLAYER` | Play Stats Player | Tool to fetch player-level stats tied to individual plays. Use when you need detailed play-by-play player statistics filtered by season, week, game, or athlete. |
| `COLLEGE_FOOTBALL_DATA_PLAY_STAT_TYPES` | Play Stat Types | Tool to fetch all play-level stat type definitions. Use when you need a catalog of available play stat types for filtering or referencing. |
| `COLLEGE_FOOTBALL_DATA_PPA_PLAYER_BY_GAME_ACTION` | Player PPA by Game | Tool to retrieve player-level PPA/EPA broken down by game. Use when you need per-game PPA/EPA metrics for players filtered by season, week, or team. |
| `COLLEGE_FOOTBALL_DATA_PPA_PLAYER_BY_SEASON` | PPA Player By Season | Tool to fetch player-level PPA/EPA aggregated by season. Use when you need seasonal PPA metrics for specific players or groups after applying filters. |
| `COLLEGE_FOOTBALL_DATA_PPA_PREDICTED_POINTS_EP` | Predict Expected Points (EP) | Tool to get expected points by down, distance, and field position. Use after selecting down (1–4) and distance to explore expected outcomes across the field. |
| `COLLEGE_FOOTBALL_DATA_PPA_TEAM_BY_GAME` | PPA Team By Game | Tool to retrieve team Predicted Points Added (PPA) by game. Use when you need team-level PPA metrics for games after filtering by season, week, team, or date. |
| `COLLEGE_FOOTBALL_DATA_RANKINGS_POLLS` | Rankings Polls | Tool to retrieve weekly human/computer poll rankings. Use after specifying season year and optional week. |
| `COLLEGE_FOOTBALL_DATA_RATINGS_ELO` | Elo Ratings | Tool to retrieve Elo ratings for college football teams. Use when you need historical Elo ratings by season or for a specific team. |
| `COLLEGE_FOOTBALL_DATA_RATINGS_SP_PLUS` | SP+ Ratings | Tool to retrieve SP+ team ratings. Use when you need historical SP+ ratings for a specific season after confirming the season year. |
| `COLLEGE_FOOTBALL_DATA_RATINGS_SRS` | SRS Ratings | Tool to retrieve Simple Rating System (SRS) team ratings. Use when you need historical SRS values for a season, optionally filtering by team or conference. |
| `COLLEGE_FOOTBALL_DATA_RECRUITING_GROUP_DICTIONARY` | Recruiting Group Dictionary | Tool to list recruiting position group aggregations. Use when you need aggregated team recruiting ratings by position group (e.g., QB, RB, WR). |
| `COLLEGE_FOOTBALL_DATA_RECRUITING_TRANSFER_PORTAL` | Recruiting Transfer Portal | Tool to retrieve transfer portal entries for a given season. Use when you need details of players entering the transfer portal, including from/to teams, position, and recruiting ratings. |
| `COLLEGE_FOOTBALL_DATA_RETURNING_PRODUCTION_TEAM` | Returning Production by Team | Tool to fetch Bill Connelly–style returning production splits by team and season. Use when evaluating returning offense, defense, and overall production for teams in a given season. |
| `COLLEGE_FOOTBALL_DATA_SEASON_STATS_PLAYER` | Season Stats Player | Tool to fetch basic season stats aggregated by player and season. Use when you need overall player performance summaries for a given season. |
| `COLLEGE_FOOTBALL_DATA_SEASON_STATS_TEAM` | Season Team Stats | Tool to get basic season stats aggregated by team and season. Use when you need a summary of team-level statistics for a particular season. |
| `COLLEGE_FOOTBALL_DATA_SEASON_TYPES_DICTIONARY` | Season Types Dictionary | Tool to list season types. Uses the season calendar endpoint to extract valid seasonType values. |
| `COLLEGE_FOOTBALL_DATA_TEAM_MATCHUP_HISTORY` | Team Matchup History | Tool to retrieve head-to-head team matchup records over a date range. Use after selecting two FBS teams to compare their matchup history. |
| `COLLEGE_FOOTBALL_DATA_TEAM_RECORDS` | Team season records | Tool to fetch team season records by year with optional filters. Use after specifying the year and any optional filters (conference, team, division, seasonType, limit, offset) to retrieve records. |
| `COLLEGE_FOOTBALL_DATA_TEAM_ROSTER` | Get Team Roster | Tool to fetch roster for a given team and season. Use when you need a team's roster for a specific year. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The College football data MCP server provides comprehensive access to College football data operations through Composio. Once connected, Hermes can perform all major College football data actions on your behalf using natural language commands.

## Complete Code

None listed.

## Conclusion

### Way Forward
With College football data connected, Hermes can now act on your behalf whenever it detects a relevant task or you ask it to.
From here, you can extend Hermes further:
- Connect more apps: Calendar, Slack, Notion, Linear, and hundreds of others are available through the same Composio Connect setup. Each new integration compounds what Hermes can do for you.
- Build workflows across tools: Once multiple apps are connected, Hermes can chain actions together — turn an email into a calendar invite, a Slack message into a Linear ticket, or a meeting note into a follow-up draft.
- Let it learn your patterns: The more you use Hermes, the better it gets at anticipating how you'd handle recurring tasks. Give it feedback on drafts and decisions, and it will adapt.
If you run into trouble or want to share what you've built, join the [community](https://discord.com/invite/composio) or check out the [Docs](https://docs.composio.dev?utm_source=toolkits&utm_medium=framework_template&utm_campaign=hermes&utm_content=docs) for deeper configuration options.

## How to build College football data MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/college_football_data/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/college_football_data/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/college_football_data/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/college_football_data/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/college_football_data/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/college_football_data/framework/openclaw)
- [CLI](https://composio.dev/toolkits/college_football_data/framework/cli)
- [Google ADK](https://composio.dev/toolkits/college_football_data/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/college_football_data/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/college_football_data/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/college_football_data/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/college_football_data/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/college_football_data/framework/crew-ai)

## Related Toolkits

- [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.
- [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.
- [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agentql](https://composio.dev/toolkits/agentql) - Agentql is a toolkit that connects AI agents to the web using a specialized query language. It enables structured web interaction and data extraction for smarter automations.
- [Agenty](https://composio.dev/toolkits/agenty) - Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. It streamlines data collection, monitoring, and repetitive online actions.
- [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows.
- [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations.
- [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements.
- [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints.
- [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.
- [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches.
- [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand.
- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research.
- [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.
- [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation.
- [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and College football data MCP?

With a standalone College football data MCP server, the agents and LLMs can only access a fixed set of College football data tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from College football data and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Hermes?

Yes, you can. Hermes fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right College football data tools.

### Can I manage the permissions and scopes for College football data while using Tool Router?

Yes, absolutely. You can configure which College football data scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your College football data data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
