Genius Sports RSS Monitor MCP

Read-only Model Context Protocol (MCP) server for monitoring public RSS and Atom feeds from competitor and industry websites. Built for Genius Sports competitive intelligence workflows.

What this MCP does

This server helps an agent track public updates from sites such as:

• Sportradar news/blog pages

• Stats Perform news/blog pages

• Sports data, betting technology, fan engagement, and sports advertising publishers

It exposes five read-only tools that fetch feeds, normalize entries, filter by recency, search content, and summarize recent activity by theme.

Related MCP server: mcp-rss

Supported feed types

• RSS 2.0

• Atom

• Public HTTP/HTTPS feeds only (no authentication)

Tools

Normalized entry schema

Each entry includes:

• id

• title

• link

• published_at

• source_feed_title

• source_feed_url

• author (optional)

• summary_snippet

• content_snippet

• categories

• matched_query (optional, search results only)

Project structure

server.ts            # Vercel + local HTTP entrypoint
api/
  health.ts          # GET /health
  server.ts          # MCP handler exports
src/
  mcp/registerTools.ts
  types.ts
  rss/
  tools/
  utils/
scripts/
  test-feed.ts       # Local feed parser smoke test

Requirements

• Node.js 20+

• npm (or pnpm/yarn)

Run locally

1. Install dependencies:

npm install

2. Copy optional environment variables:

cp .env.example .env

3. Start the local server:

npm run dev

This runs a local Node HTTP server and serves:

• MCP endpoint: http://localhost:3000/mcp

• Health check: http://localhost:3000/health

For Vercel-native local emulation, use:

npm run dev:vercel

4. Smoke-test feed parsing without MCP:

npm run test:feed

Or test a specific feed:

npm run test:feed -- "https://example.com/feed.xml"

5. Type-check:

npm run typecheck

Example curl checks

Health:

curl -s http://localhost:3000/health | jq

MCP initialize (Streamable HTTP clients handle session setup automatically; this is mainly for debugging):

curl -s -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"curl","version":"1.0.0"}}}'

Deploy to Vercel

1. Install the Vercel CLI if needed:

npm i -g vercel

2. Deploy:

vercel

For production:

vercel --prod

3. Use your deployment URL:

• MCP endpoint: https://YOUR-PROJECT.vercel.app/mcp

• Health endpoint: https://YOUR-PROJECT.vercel.app/health

Recommended Vercel settings

• Enable Fluid Compute for better MCP session behavior

• vercel.json already sets maxDuration: 60 for the MCP handler

Optional environment variables

Set in Vercel Project Settings → Environment Variables:

Connect as a Custom MCP in ChatGPT Agent Builder

1. Deploy this server to a public HTTPS URL (for example on Vercel).

2. Open ChatGPT → Agent Builder (or your agent configuration UI).

3. Add a Custom MCP integration.

4. Choose Streamable HTTP as the transport.

5. Set the MCP server URL to:

https://YOUR-PROJECT.vercel.app/mcp

6. Save and connect. The agent should discover these tools:

• fetch_feed

• list_recent_entries

• search_feed_entries

• compare_recent_entries

• monitor_company_feed

7. Verify connectivity by asking the agent to call monitor_company_feed with a public test feed.

Cursor / Claude Desktop config example

{
  "mcpServers": {
    "genius-sports-rss-monitor": {
      "url": "https://YOUR-PROJECT.vercel.app/mcp"
    }
  }
}

For local development:

{
  "mcpServers": {
    "genius-sports-rss-monitor": {
      "url": "http://localhost:3000/mcp"
    }
  }
}

Example public feeds for testing

Use any public RSS/Atom URL. Good generic test feeds:

• BBC News RSS: https://feeds.bbci.co.uk/news/rss.xml

• NYT Technology RSS: https://rss.nytimes.com/services/xml/rss/nyt/Technology.xml

• W3C News Atom: https://www.w3.org/blog/news/feed/atom/

Competitor/industry placeholders to configure in your agent (replace with the current public feed URL for each site):

• Sportradar newsroom/blog feed: https://sportradar.com/content-type/newsroom/feed/ (verify current public feed URL)

• Stats Perform newsroom/blog feed: https://www.statsperform.com/feed/ (verify current public feed URL)

Example agent prompt:

Monitor Sportradar's public feed for the last 14 days and summarize product updates, partnerships, and betting-related announcements.

Example tool call:

{
  "company_name": "Sportradar",
  "feed_url": "https://feeds.bbci.co.uk/news/rss.xml",
  "days_back": 14,
  "limit": 10
}

Theme categories

compare_recent_entries and monitor_company_feed use lightweight keyword heuristics to classify entries into:

• partnerships

• launches

• product updates

• customer wins

• thought leadership

• betting

• advertising

• fan engagement

• data/integrity

• other

Known limitations

• Read-only: no write actions, no authenticated feeds, no scraping of pages without RSS/Atom

• Some sites publish HTML pages but not machine-readable feeds; those URLs will fail validation or parsing

• Theme grouping is heuristic, not ML-based

• Feed publishers may rate-limit or block unknown user agents

• Entries without reliable publish dates are included in recent results

• Very large feeds are truncated by the limit parameter rather than paginated

• Serverless cold starts may add latency on first request

Security notes

• Only public HTTP/HTTPS URLs are accepted

• Requests use safe timeouts and truncated response snippets

• No secrets are logged

• No persistent storage of fetched feed content

License

MIT