ZelesIA

com.zelesia由 zelesia.com 發布官方發布者v1.0.1更新於 Oct 24, 2026

Turn the LinkedIn posts you save into a knowledge base your assistant can search and cite.

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

託管式 MCP 伺服器,讓助理搜尋並引用你存到 ZelesIA 的 LinkedIn 貼文。

可以做什麼
  • 檢視資料庫索引:貼文數量、日期範圍、主題與標題
  • 依語意與關鍵字搜尋已儲存的貼文,回傳主題、原貼文連結與摘錄
  • 以游標分頁瀏覽搜尋結果
  • 以 ChatGPT 相容的 search 與 fetch 方式查詢同一個資料庫
適用情境
當你把 LinkedIn 貼文存進 ZelesIA,並希望助理根據這份個人收藏作答並附上引用,而不是憑空猜測或搜尋公開網路時使用。
執行需求
遠端 Streamable HTTP 端點,無需安裝。需要一個至少存過一則貼文的 ZelesIA 帳號,並在 ZelesIA 授權頁面完成 OAuth 授權。不需要 API 金鑰或環境變數。
安裝前請注意
授權只會讀取核准該授權之帳號的貼文,因此請只連接自己的帳號。工具雖標示為唯讀,但助理能看到你儲存的資料庫內容;若要停止存取,可在 Zelesia 帳號中撤銷授權。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 ZelesIA,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 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/com.zelesia%2Fzelesia/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。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "zelesia": {
      "type": "http",
      "url": "https://mcp.zelesia.com/mcp"
    }
  }
}

README

ZelesIA MCP Server

Turn the LinkedIn posts you save into a knowledge base your assistant can search and cite.

You save a post on LinkedIn with one click. ZelesIA summarises it, groups it by topic, and keeps it. Connect this MCP server and Claude — or ChatGPT, or Cursor — answers from what you saved, citing the original post.

This repository is the connection guide for the hosted server. There is nothing to install.

[The ZelesIA home page]

Connect it

You need a ZelesIA account with something saved. The server only ever reads your own library.

Claude (web and desktop)

Settings → Connectors → Add custom connector, and paste https://mcp.zelesia.com/mcp. A ZelesIA consent screen opens; approve it and the tools appear.

Claude Code

bash
claude mcp add --transport http zelesia https://mcp.zelesia.com/mcp

Cursor, VS Code and other MCP clients

Point them at the same URL over Streamable HTTP:

json
{  "mcpServers": {    "zelesia": {      "type": "http",      "url": "https://mcp.zelesia.com/mcp"    }  }}

ChatGPT

The server also publishes the search / fetch pair that ChatGPT's connectors expect, backed by the same library. Add it as a custom connector with the endpoint above.

What the assistant reads

Your own library: every post you saved, summarised, with its key points and its link back to LinkedIn.

[A ZelesIA library, filtered by topic]

Tools

ToolWhat it does
library_mapAn index of your library: how many posts, over what date range, which topics and headlines. Cheap — call it before searching, so the assistant doesn't guess at words you never saved.
search_librarySearches your saved posts by meaning and by keyword. Returns the topic, a link to the original post, and an excerpt — usually enough to answer and cite without opening anything. Paginated by cursor.
search / fetchThe ChatGPT-compatible pair, over the same library.

Every tool is read-only. Nothing the assistant does can change or delete what you saved.

Access and privacy

  • OAuth 2.1. You approve the connection on a ZelesIA consent screen. No API key to paste, no password shared with the client.
  • Your library only. A grant reads the posts of the account that approved it, and nothing else.
  • Revocable. Remove the grant from your ZelesIA account and the connection stops working straight away.

Terms: zelesia.com/terms · Privacy, including how to reach us: zelesia.com/privacy

Support

Open an issue in this repository.

來源:README.md,提交 c3a8252

工具

0
該伺服器需要登入,因此 SourceWeft 無法在沒有帳號的情況下讀取其工具,也未收錄。已連接帳號所能看到的內容可能因帳號及其權限而異。

版本歷史

1
  1. v1.0.1最新Sep 16, 2026

評分

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