
ZelesIA
com.zelesiaPublished by zelesia.comOfficial publisherv1.0.1Updated Oct 24, 2026
Turn the LinkedIn posts you save into a knowledge base your assistant can search and cite.
Overview
Hosted MCP server that lets an assistant search and cite the LinkedIn posts you saved to a ZelesIA library.
- What you can do
- Map your saved library: post count, date range, topics and headlines
- Search saved posts by meaning and keyword, with topic, original LinkedIn link and excerpt
- Page through search results with a cursor
- Answer ChatGPT-style search and fetch requests over the same library
- When to use it
- Useful when you save LinkedIn posts into ZelesIA and want an assistant to answer from that personal collection with citations, instead of guessing or searching the open web.
- Requirements
- A remote Streamable HTTP endpoint; nothing to install. A ZelesIA account with at least one saved post, and OAuth approval on the ZelesIA consent screen. No API key or environment variables.
Installation
In SourceWeft
- Open ZelesIA in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/com.zelesia%2Fzelesia/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"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.
- 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
Cursor, VS Code and other MCP clients
Point them at the same URL over Streamable HTTP:
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
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.
Source: README.md at commit c3a8252
Tools
0Version history
1- v1.0.1LatestSep 16, 2026
Score
85% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
- Auth declaredRequired10 pts
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts