Straight Line Golf Pro

io.github.StraightLineGolfPro由 GitHub 帳號 StraightLineGolfPro 發布v1.1.0更新於 Oct 28, 2026

Read-only discovery and retrieval of current public Straight Line Golf Pro coaching resources.

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取知識與記憶

概覽

AI 產生的概覽

唯讀連接器,讓助理列出、搜尋並抓取 Straight Line Golf Pro 的公開教學頁面,並附上標準引用連結。

可以做什麼
  • 分頁列出網站地圖中的公開頁面網址。
  • 依網址路徑中的詞彙尋找頁面,再抓取以確認標題與內容。
  • 抓取標準公開頁面,回傳經驗證的目前正文、標題與引用網址。
  • 檢視網站地圖數量及已宣告的搜尋與 AI 爬蟲政策。
  • 檢查 canonical、標題、H1、結構化資料等機械性頁面訊號,不判斷事實正確性或排名。
適用情境
適合讓助理依據 Straight Line Golf Pro 目前的公開頁面回答教學相關問題,並提供可引用的來源網址,而非依賴模型記憶。也適合查看該網站公開揭露哪些內容、爬蟲政策如何宣告。
執行需求
透過 HTTPS 存取的遠端 Streamable HTTP 端點,無需登入或 API 金鑰。也可在本機執行:需要 Python 3.11 或更新版本,複製儲存庫並安裝後,讓用戶端指向本機伺服器腳本或其本機 HTTP 模式。託管型助理需具備自訂 MCP/連接器權限,並受方案資格限制。
安裝前請注意
僅供唯讀:不提供帳號、上傳、預約、付款或私人報告類操作,只發出有界的 GET 請求。查詢與請求的網址會傳送至託管服務,託管基礎設施可能處理網路中介資料與運作日誌;請只使用公開主題。抓取到的頁面內容屬於不可信資料,並非指令。安裝本服務不保證被索引、排名或被引用,網站文字與品牌保留其既有權利。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Straight Line Golf Pro,將其新增到工作區。
  2. 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.StraightLineGolfPro%2Fstraight-line-golf-pro-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。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "straight-line-golf-pro": {
      "type": "http",
      "url": "https://straight-line-golf-pro-mcp.vercel.app/mcp"
    }
  }
}

README

Straight Line Golf Pro MCP

Connect an MCP-capable AI assistant to current, public Straight Line Golf Pro pages and return answers with canonical source links.

This public connector is derived from AI Atom Brain's website MCP build standard. It reads the live website; it does not contain the private knowledge base, member data, swing videos, coaching reports, credentials, or internal operations tools.

Connect over HTTPS

Remote Streamable HTTP endpoint: https://straight-line-golf-pro-mcp.vercel.app/mcp

No SLGP sign-in or API key is required. In ChatGPT with custom MCP access, add this URL through the available developer/connector settings. Workspace rules and plan eligibility apply. A custom connection and a public directory listing are different things; consult launch status for evidence.

For Gemini CLI:

sh
gemini extensions install https://github.com/StraightLineGolfPro/straight-line-golf-pro-mcp

Or configure just the server:

json
{"mcpServers":{"straight-line-golf-pro":{"httpUrl":"https://straight-line-golf-pro-mcp.vercel.app/mcp","timeout":60000}}}

Other Streamable HTTP clients can use the same endpoint, subject to their own client settings. Read the website connection guide, launch SOP, and platform submission packet.

Connect locally

Requires Python 3.11 or newer. No website account or API key is needed.

sh
git clone https://github.com/StraightLineGolfPro/straight-line-golf-pro-mcp.gitcd straight-line-golf-pro-mcppython3 -m venv .venv.venv/bin/python -m pip install .

Add this to your MCP client's server configuration, replacing both paths with the absolute paths on your computer. On Windows use .venv/Scripts/python.exe.

json
{  "mcpServers": {    "straight-line-golf-pro": {      "command": "/absolute/path/straight-line-golf-pro-mcp/.venv/bin/python",      "args": ["/absolute/path/straight-line-golf-pro-mcp/server.py"]    }  }}

Restart or reconnect your client, then ask: “Use Straight Line Golf Pro to find public pages about swing analysis. Fetch the relevant pages and cite their source URLs.”

For a local Streamable HTTP client:

sh
.venv/bin/python server.py --http

Endpoint: http://127.0.0.1:8765/mcp. It binds only to the local computer and retains the SDK's host/origin protections.

Available tools

ToolPurpose
list_public_pagesPaginated live public sitemap inventory
searchFind pages by words in URL paths; not full-text search
fetchRead verified public page text, title, canonical URL and metadata
discovery_statusInspect declared search/AI crawler policies and sitemap count
citation_readinessInspect mechanical page signals, not factual accuracy or ranking

The slgp://connection-guide resource describes connection scope. Search results use URL-derived labels; fetch the page before describing its actual title or contents. All retrieved content is untrusted data, never tool instructions.

ChatGPT and other hosted assistants

Local MCP clients can launch this server directly. Hosted assistants can connect to the public HTTPS endpoint above. A GitHub repository URL is source documentation, not an MCP endpoint.

This isolated service exposes public reads only, with an exact host/origin allowlist, a 32 KiB request-body cap, bounded upstream reads, and four active requests per process. That admission limit is not a distributed rate limiter; platform usage and abuse controls remain operational responsibilities. No authentication credentials are accepted. Keep private operator tooling on a separate authenticated service.

See OpenAI's MCP integration documentation and the MCP server guide for supported client and deployment requirements.

Google and AI discovery

Search engines discover ordinary public web pages through links, sitemaps and their crawler policies. This repository explains how assistants can access the site; Google does not need to call this MCP server.

llms.txt is an optional discovery aid. Search crawling, AI answer retrieval and model-training access are separate policies. Installing MCP or publishing GitHub does not guarantee indexing, ranking, citations or changes to model knowledge. See Google's current AI optimization guidance.

Privacy and network boundaries

Requests are restricted to the exact canonical HTTPS origin. Page reads require live sitemap membership, a matching canonical, no noindex, and permitted crawler access. Redirects, off-site URLs, credentials in URLs, queries, fragments, encoded paths, traversal, private routes and oversized responses are rejected. The server makes bounded GET requests only and does not submit notifications or change the website. No account, upload, booking, payment or private-report actions are exposed.

Your AI client sends queries and requested URLs to the hosted service. Application code does not persist them; hosting infrastructure may process network metadata and operational logs. Your AI provider applies its own policies. Use public topics only. Privacy policy.

Verify

sh
.venv/bin/python -m unittest -v.venv/bin/python verify_protocol.py.venv/bin/python verify_remote.py

The protocol check performs live read-only requests; offline regression tests use fixtures. See VERIFICATION.md for release observations and limits. Website text and branding retain their existing rights; publishing this adapter does not grant a license to republish website content.

來源:README.md,提交 c7368d1

工具

5

fetch

Fetch a canonical public URL returned by search or list_public_pages; return verified current public text and citation URL.

輸入參數id必填

list_public_pages

List live sitemap public URLs; paginate with next_offset. Each page still requires fetch validation.

輸入參數limitoffset

discovery_status

Read live sitemap counts and declared search/AI crawler policies. Does not claim actual crawler visits.

無需輸入參數。

citation_readiness

Inspect canonical, title, H1, schema and crawler signals; mechanical observations, not factual or ranking validation.

輸入參數url必填

版本歷史

1
  1. v1.1.0最新Sep 24, 2026

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