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.

• Endpoint: https://mcp.zelesia.com/mcp (Streamable HTTP)
• Registry: com.zelesia/zelesia
• Website: zelesia.com

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

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:

{
  "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.

Tools

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.