
GitHub Repository Intelligence
io.github.heisencodex-jpg由 GitHub 帳號 heisencodex-jpg 發布v0.3.1更新於 Oct 25, 2026
Repo intel for AI coding agents: overview, PRs, contributors, hot files, CI, deps. Remote MCP.
概覽
託管式 MCP 端點,讓助理以唯讀方式取得任意 GitHub 儲存庫的情報:概觀、近期 PR、貢獻者、熱門檔案、CI 狀態與相依套件。
- 可以做什麼
- 讀取儲存庫概況:星號、分支、語言、授權條款、主題與最近推送時間,以及依提交數排序的主要貢獻者和近期 PR 的作者、狀態與合併日期。
- 適用情境
- 當助理需要在沒有檔案系統或 shell 存取權限的情況下分析 GitHub 程式碼庫時使用,例如儲存庫入門簡報、PR 審查準備,或跨多個儲存庫的相依性與供應鏈稽核。
- 執行需求
- 透過 Apify API 權杖以 Bearer Authorization 標頭存取的遠端 streamable-HTTP 端點;免費 Apify 帳戶即可取得權杖。可在工具參數中傳入選用的 GitHub 個人存取權杖,以取得更高速率限制並存取私有儲存庫。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 GitHub Repository Intelligence,將其新增到工作區。
- 連接 Authorization token 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.heisencodex-jpg%2Fgithub-repo-intel-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"github-repository-intelligence": {
"type": "http",
"url": "https://cg-nguyen--github-repo-intel-mcp.apify.actor/mcp",
"headers": {
"Authorization": "Bearer <YOUR_TOKEN>"
}
}
}
}README
GitHub Repository Intelligence MCP Server
A hosted Model Context Protocol server that gives AI coding agents structured intelligence about any GitHub repository — overview, recent PRs, contributors, hot files, CI status, and dependencies — through a single MCP endpoint.
No local setup. No git clone. No Octokit boilerplate. Plug your agent into the MCP URL and start asking questions.
Why this exists
Local GitHub MCP servers exist, but they require every user to set up Node/Python, install the server, manage tokens, and keep it patched. This Actor runs on Apify's platform and is reachable as a hosted streamable-HTTP MCP endpoint — your agent just needs the URL.
It's useful when you want an LLM to reason about a codebase without giving it filesystem or shell access: think code-review bots, repo-onboarding helpers, dependency-audit agents, refactor planners.
Hosted vs local — when this saves you time
Three workflows it shortens
- Repo onboarding — drop the URL into Claude Code, ask "give me a one-page brief on
kubernetes/kubernetes: maintainers, top 10 hot files, current PR pipeline, CI health." One conversation, six tool calls, no clones. - PR-review prep — before reviewing a stranger's PR, run
get_contributors+list_recent_prs+get_hot_fileson the target repo to know who you're dealing with and where the churn actually lives. - Dependency / supply-chain audit —
get_dependenciesacross a list of repos in a loop, no shell access required, no risk of maliciousnpm installrunning on your machine.
Tools exposed
Every tool accepts an optional github_token parameter. With no token you get GitHub's 60-req/hour limit on public repos. Provide a fine-grained PAT and you get 5,000 req/hour and can access private repos.
Pricing
$0.005 per tool call. First 100 calls free per user.
Pay-per-event model — you only pay when a tool actually executes. No subscription, no minimums. The server runs in Apify Standby mode, so you're not billed for idle time.
Usage
From an MCP-aware client (Claude Desktop, Cursor, Continue, etc.)
The Actor exposes a Streamable-HTTP MCP transport at:
Authentication uses your Apify token via the Authorization: Bearer <APIFY_TOKEN> header — most MCP clients let you configure this in their server config.
Example tool call (raw JSON-RPC)
From Claude Desktop config
Limits and caveats
- Free tier on Apify gets you $5/month of usage credits — enough for ~1,000 free tool calls before the per-event price kicks in.
- The
get_hot_filestool scans up to 200 commits and makes one API call per commit, so it eats GitHub rate limit the fastest. Pass agithub_tokenif you call it often. get_ci_statusreads the GitHub Checks API — it surfaces GitHub Actions, CodeQL, and any third-party check that posts back via the Checks API. Repos that run their CI entirely on external systems (Prow, Buildkite, CircleCI without GitHub integration) may show 0 check runs even when the build is green. The response includes anotefield flagging this case.- This is a read-only server. It cannot create PRs, comment on issues, or modify any repository state.
- All data comes straight from the GitHub REST API — no caching layer, so freshness equals what the GitHub API returns.
Source & roadmap
Author: luongnp. Open to feature requests — file an issue on the Actor page if you want a tool added (issues board, releases, dependency vulnerabilities via Dependabot API, etc.).
來源:README.md,提交 d2f9e39
工具
0版本歷史
1- v0.3.1最新Sep 16, 2026
評分
已滿足適用檢查項的 75%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
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請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。
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- 圖示10 分
- 文件15 分
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請在儲存庫或註冊中心條目中宣告授權條款。