ZelesIA
Turn the LinkedIn posts you save into a knowledge base your assistant can search and cite.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http zelesia 'https://mcp.zelesia.com/mcp'{
"mcpServers": {
"zelesia": {
"type": "http",
"url": "https://mcp.zelesia.com/mcp"
}
}
}Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
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/mcpCursor, 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
| Tool | What it does |
|---|---|
library_map | An 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_library | Searches 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 / fetch | The 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.
Frequently asked questions
What is ZelesIA?
Turn the LinkedIn posts you save into a knowledge base your assistant can search and cite.
How do I install ZelesIA?
It runs as a remote server. In Claude Code: claude mcp add --transport http zelesia 'https://mcp.zelesia.com/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does ZelesIA need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is ZelesIA open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains ZelesIA?
It is published by ZelesIA-AI. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.