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question) |\n| Players | season stats, weekly/game logs, snap counts, injuries, advanced stats, Next Gen Stats, rosters, contracts, depth charts |\n| Games & plays | schedules/results, play-by-play, participation, FTN charting |\n| Fantasy | StatHead blended dynasty values, `get_projections` (StatHead's in-house season PPG model), `get_weekly_projections` (per-week matchup-adjusted points, weeks 1–18), ADP (FFC / ESPN / Sleeper), `get_adp_with_results` (ADP vs actual finish), trending adds/drops |\n| Sleeper leagues | `get_sleeper_user_leagues`, `get_sleeper_league` (standings + rosters), `get_sleeper_league_users` (cheap manager list), `get_sleeper_matchups`, `get_sleeper_transactions` (trades/waivers/adds), `get_sleeper_waiver_wire` (free agents × trending × projections), `get_sleeper_draft`, `get_sleeper_user_snooper` (cross-league exposure), `get_sleeper_user_history` (multi-season records + titles) — a connected graph: a username lists leagues, a league name (or id) opens that league, and each manager's `owner_id`/display name walks back to *their* leagues, exposure, and history |\n| Draft & college | `get_prospect_outcomes` (calibrated boom/bust probabilities + grades), draft picks, `get_rookie_class` (draft+combine+rookie stats in one call), prospect profiles, combine, college stats (player or cohort), QBR |\n| Model & methodology | `get_model_docs` (how the models work + per-position feature importance), `get_player_features` (why a player is scored the way they are — feature drivers, bands, direction) |\n| Your own numbers | `export_excel` / `import_excel` / `clear_overrides` — download a styled projections / rankings / rookie-rankings workbook (or a `by_team` projection sheet with live PPR formulas), edit it, re-upload it, and have your values drive every later query |\n\n### Bring your own projections & rankings\n\nThe same boards the website lets you download are available over MCP as real\n`.xlsx` files (built with zero extra dependencies — Node's own `zlib`):\n\n1. `export_excel kind=\"projections\"` (or `rankings`, `rookie_rankings`) writes a\n   styled workbook to disk and returns its path. Edit the highlighted column —\n   **Proj PPG** for projections, **My Rank** for rankings/rookies — in Excel or\n   Google Sheets.\n2. `import_excel path=\"…\"` reads it back and saves your values as overrides.\n3. `get_projections`, `get_fantasy_rankings`, and `get_prospect_outcomes` then\n   automatically use **your** numbers (flagged in the output) until you run\n   `clear_overrides`.\n\nWorkbooks default to `$STATHEAD_DIR` (or the current working directory); pass\n`path` to choose where they land. Overrides persist in\n`$STATHEAD_DIR`/`~/.stathead/overrides.json`.\n\n## Quick start\n\nRun it directly — no install, no clone:\n\n```bash\nnpx -y stathead-mcp\n```\n\nIt speaks MCP over stdio, so you normally wire it into a client rather than run\nit by hand.\n\n### Claude Desktop\n\nAdd to `~/Library/Application Support/Claude/claude_desktop_config.json`\n(macOS) or `%APPDATA%\\Claude\\claude_desktop_config.json` (Windows):\n\n```json\n{\n  \"mcpServers\": {\n    \"stathead\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"stathead-mcp\"]\n    }\n  }\n}\n```\n\n### Claude Code\n\n```bash\nclaude mcp add stathead -- npx -y stathead-mcp\n```\n\n### Cursor / other MCP clients\n\nUse the same `command`/`args` (`npx -y stathead-mcp`) in the client's MCP\nconfig.\n\n### Claude mobile apps / claude.ai web / Claude Desktop (remote connector)\n\nPrefer a URL over a local command? The same tools are hosted over MCP's\nStreamable HTTP transport by a Cloudflare Worker (`workers/stathead-mcp/`,\ndeployed via `deploy-workers.yml`):\n\n```\nhttps://stathead-mcp.dachhack.workers.dev\n```\n\nAdd it under **Settings → Connectors → Add custom connector**, paste the URL,\nand save — no command, no API key. (A `GET` to that URL returns a small health\npayload; clients `POST` JSON-RPC to it.) The npm/stdio package above stays the\npath for Claude Code and Cursor.\n\nThe Worker records a privacy-respecting usage counter (MCP method + tool name\nonly — no IPs or request bodies) to a Cloudflare Analytics Engine dataset\n(`stathead_mcp_usage`). View aggregates at `GET /stats` once you set the\n`CF_ACCOUNT_ID` + `CF_ANALYTICS_TOKEN` worker secrets (`wrangler secret put …`),\nor query the dataset in the Cloudflare dashboard. npm download counts don't see\nremote-connector usage — this does.\n\n## Data sources & freshness\n\nMost tools fetch live from open upstreams (nflverse, Sleeper,\nFantasyFootballCalculator, ESPN's public endpoints). A handful read committed\ndaily snapshots (StatHead's blended dynasty values, ADP history, in-house\nseason projections), which the server fetches from the hosted StatHead site by\ndefault.\n\nPlease review **[`DATA_SOURCES.md`](../DATA_SOURCES.md)** before redistributing\nany data this server returns — several upstreams are proprietary or paid and\ncarry their own terms.\n\n### Configuration\n\nAll optional, via environment variables:\n\n| Var | Default | Purpose |\n| --- | --- | --- |\n| `STATHEAD_DATA_BASE` | GitHub raw (data branch) | Base URL for committed snapshot data (`<base>data/<file>`). Defaults to GitHub raw, which serves every file uncompressed/reliably (the Cloudflare host gzips files over its 25 MiB cap, which Node can't decode). Override to point at your own deployment or a local `http://localhost:5173/` dev server. |\n| `VITE_KTC_PROXY` | project worker | CORS proxy for KeepTradeCut. Deploy your own (`workers/ktc-proxy`) to avoid shared rate limits. |\n| `VITE_FC_PROXY` | project worker | CORS proxy for FantasyCalc (`workers/fc-proxy`). |\n| `VITE_ODDS_API_KEY` | — | Enables betting-odds tools ([the-odds-api.com](https://the-odds-api.com)). |\n\nRunning from a full repo checkout instead? The server reads snapshots straight\nfrom local `public/data/` and ignores `STATHEAD_DATA_BASE`.\n\n## Building from source\n\nThe bundle is produced from the StatHead monorepo:\n\n```bash\n# from the repo root\nnpm install\nnpm run build:mcp      # → mcp/dist/server.mjs (esbuild, single file)\nnode mcp/dist/server.mjs\n```\n\n## Publishing\n\nBump `version` in `mcp/package.json` and `SERVER_VERSION` in\n`mcp/dist/server.mjs` (they must match), merge to the default branch, then\nany one of:\n\n```bash\ngit push -f origin <commit>:publish-mcp-now        # branch-push trigger (works from Claude Code sessions)\ngit tag mcp-v1.2.3 && git push origin mcp-v1.2.3   # tag trigger\n# or Actions → \"Publish stathead-mcp to npm\" → Run workflow\n```\n\n`publish-mcp.yml` refuses a version already on npm and a commit not yet on\nthe default branch, smoke-tests the bundle, publishes via npm Trusted\nPublishing, then chains the MCP Registry publish. Manual fallback:\n\n```bash\nnpm run build:mcp                  # repo root — refresh the bundle\ncd mcp && npm publish --access public\n```\n\nThe published tarball is just `dist/server.mjs` + this README (~220 KB).\n\n### Listing in the MCP Registry\n\n`server.json` is the manifest for the official [MCP Registry](https://registry.modelcontextprotocol.io)\n(`io.github.dachhack/stathead-mcp`). After an npm publish, the\n**Publish to MCP Registry** workflow (`.github/workflows/publish-mcp-registry.yml`)\npushes it — authenticating via GitHub OIDC for the `io.github.dachhack/*`\nnamespace (no secret). The npm package carries a matching `mcpName` field so the\nregistry can verify the package belongs to this entry, and the workflow syncs\n`server.json`'s version from `package.json` so they never drift.\n\nMost community directories (Glama, mcp.so, PulseMCP) mirror the official\nregistry and/or auto-index public npm packages with the `model-context-protocol`\nkeyword (which `package.json` has), so a registry publish propagates to them.\n\n## License\n\nMIT — see [`../LICENSE`](../LICENSE). The code is MIT; the **data** it returns\nis not necessarily redistributable. See\n[`DATA_SOURCES.md`](../DATA_SOURCES.md).\n","readmeFilename":"README.md"}