PostHog MCP Server
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
Fantasy football analytics: stats, dynasty, projections, prospects, Sleeper leagues, Excel I/O
选择你使用的 AI 应用,然后复制设置。
通过 3/3 项检查 · 在你的电脑上运行 · ✓ 命令已检查 2026年11月13日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude,但需要先准备
需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
SettingsDeveloperEdit Config
{
"mcpServers": {
"stathead": {
"command": "npx",
"args": [
"-y",
"stathead-mcp"
]
}
}
}用 Stathead MCP 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Stathead MCP,或回答中出现 Stathead MCP 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 Stathead MCP
Stathead MCP 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
A · 使用能连接 Stathead MCP 的应用
B · 营销与社交媒体 类中能连接 ChatGPT 的其他服务器
从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的
可连接 Claude Code,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --scope user stathead -- npx -y stathead-mcp应能看到 Stathead MCP 在列表中并显示已连接
用 Stathead MCP 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Stathead MCP,或回答中出现 Stathead MCP 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
用 Stathead MCP 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Stathead MCP,或回答中出现 Stathead MCP 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
用 Stathead MCP 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Stathead MCP,或回答中出现 Stathead MCP 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
Claude Code
claude mcp add --scope user stathead -- npx -y stathead-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"stathead": {
"command": "npx",
"args": [
"-y",
"stathead-mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"stathead": {
"command": "npx",
"args": [
"-y",
"stathead-mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"stathead": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"stathead-mcp"
]
}
}
}这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月13日
注册名称已通过 GitHub 账户 dachhack 验证,该账户拥有此仓库
代码最后更新于今天
使用 MIT
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于今天,最新版本(1.0.126)于7天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:PostHog MCP Server, Openshorts, Google Ads + Meta Ads + SEO/GEO MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
Turn long videos into viral vertical shorts and publish them to TikTok, Instagram and YouTube.
Google Ads, Meta Ads, Google Analytics (GA4) & Search Console MCP server by Ryze AI
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
An MCP server that exposes StatHead's NFL fantasy-analytics toolset to Claude (Desktop / Code), Cursor, or any MCP client — so you can ask natural-language questions and get live, structured NFL data back.
It ships as a single self-contained bundle with no runtime dependencies and fetches all data on demand, so there's nothing to download or build — npx and go.
50 tools spanning player and team data, including:
| Area | Tools |
|---|---|
| Discovery | get_metadata — sources, season coverage, and valid enums (call this first to scope a question) |
| Players | season stats, weekly/game logs, snap counts, injuries, advanced stats, Next Gen Stats, rosters, contracts, get_depth_charts (slot-aware team depth charts with roster status, StatHead depth order and view=changes for moves) |
| Games & plays | schedules/results, play-by-play, participation, FTN charting |
| Fantasy | StatHead blended dynasty values, get_trade_values (StatHead values fitted to millions of completed Sleeper dynasty trades: as-of weekly values with 90% ranges, movers, liquidity, scoring re-pricing, 1/3/6/12-month forecasts, rookie-pick classes and history), get_projections (StatHead's in-house season PPG model), get_weekly_projections (per-week matchup-adjusted points, weeks 1–18), get_matchups (weekly strength of matchup: fantasy points each defense allows per game to QB/RB/WR/TE, ranked 1–32 in your scoring and over expected, by week, per player, rest of schedule, or split by metric such as TE receptions or QB rushing), ADP (FFC / ESPN / Sleeper), get_adp_with_results (ADP vs actual finish), trending adds/drops |
| 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 |
| 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 |
| 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) |
| 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 |
The same boards the website lets you download are available over MCP as real .xlsx files (built with zero extra dependencies — Node's own zlib):
export_excel kind="projections" (or rankings, rookie_rankings) writes a styled workbook to disk and returns its path. Edit the highlighted column — Proj PPG for projections, My Rank for rankings/rookies — in Excel or Google Sheets.import_excel path="…" reads it back and saves your values as overrides.get_projections, get_fantasy_rankings, and get_prospect_outcomes then automatically use your numbers (flagged in the output) until you run clear_overrides.Workbooks default to $STATHEAD_DIR (or the current working directory); pass path to choose where they land. Overrides persist in $STATHEAD_DIR/~/.stathead/overrides.json.
Run it directly — no install, no clone:
npx -y stathead-mcp
It speaks MCP over stdio, so you normally wire it into a client rather than run it by hand.
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": { "stathead": { "command": "npx", "args": ["-y", "stathead-mcp"] } } }
claude mcp add stathead -- npx -y stathead-mcp
Use the same command/args (npx -y stathead-mcp) in the client's MCP config.
Prefer a URL over a local command? The same tools are hosted over MCP's Streamable HTTP transport by a Cloudflare Worker (workers/stathead-mcp/, deployed via deploy-workers.yml):
https://stathead-mcp.dachhack.workers.dev
Add it under Settings → Connectors → Add custom connector, paste the URL, and save — no command, no API key. (A GET to that URL returns a small health payload; clients POST JSON-RPC to it.) The npm/stdio package above stays the path for Claude Code and Cursor.
The Worker records a privacy-respecting usage counter (MCP method + tool name only — no IPs or request bodies) to a Cloudflare Analytics Engine dataset (stathead_mcp_usage). View aggregates at GET /stats once you set the CF_ACCOUNT_ID + CF_ANALYTICS_TOKEN worker secrets (wrangler secret put …), or query the dataset in the Cloudflare dashboard. npm download counts don't see remote-connector usage — this does.
Most tools fetch live from open upstreams (nflverse, Sleeper, FantasyFootballCalculator, ESPN's public endpoints). A handful read committed daily snapshots (StatHead's blended dynasty values, ADP history, in-house season projections), which the server fetches from the hosted StatHead site by default.
Please review [`DATA_SOURCES.md`](../DATA_SOURCES.md) before redistributing any data this server returns — several upstreams are proprietary or paid and carry their own terms.
All optional, via environment variables:
| Var | Default | Purpose |
|---|---|---|
STATHEAD_DATA_BASE | GitHub raw (data branch) | Base URL for committed snapshot data ( data/ ). 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. |
VITE_KTC_PROXY | project worker | CORS proxy for KeepTradeCut. Deploy your own (workers/ktc-proxy) to avoid shared rate limits. |
VITE_FC_PROXY | project worker | CORS proxy for FantasyCalc (workers/fc-proxy). |
VITE_ODDS_API_KEY | — | Enables betting-odds tools (the-odds-api.com). |
Running from a full repo checkout instead? The server reads snapshots straight from local public/data/ and ignores STATHEAD_DATA_BASE.
The bundle is produced from the StatHead monorepo:
# from the repo root
npm install npm run build:mcp # → mcp/dist/server.mjs (esbuild, single file) node mcp/dist/server.mjs
Bump version in mcp/package.json and SERVER_VERSION in mcp/dist/server.mjs (they must match), merge to the default branch, then any one of:
git push -f origin <commit>:publish-mcp-now # branch-push trigger (works from Claude Code sessions)
git tag mcp-v1.2.3 && git push origin mcp-v1.2.3 # tag trigger
publish-mcp.yml refuses a version already on npm and a commit not yet on the default branch, smoke-tests the bundle, publishes via npm Trusted Publishing, then chains the MCP Registry publish. Manual fallback:
npm run build:mcp # repo root — refresh the bundle
cd mcp && npm publish --access public
The published tarball is just dist/server.mjs + this README (~220 KB).
server.json is the manifest for the official MCP Registry (io.github.dachhack/stathead-mcp). After an npm publish, the Publish to MCP Registry workflow (.github/workflows/publish-mcp-registry.yml) pushes it — authenticating via GitHub OIDC for the io.github.dachhack/* namespace (no secret). The npm package carries a matching mcpName field so the registry can verify the package belongs to this entry, and the workflow syncs server.json's version from package.json so they never drift.
Most community directories (Glama, mcp.so, PulseMCP) mirror the official registry and/or auto-index public npm packages with the model-context-protocol keyword (which package.json has), so a registry publish propagates to them.
MIT — see ../LICENSE. The code is MIT; the data it returns is not necessarily redistributable. See DATA_SOURCES.md.