Lets your agent search LinkedIn and look up profiles, companies, and posts.
Use linkedin in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add linkedin and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use linkedin
Needs your own linkedin account. You sign in to it and approve access when you connect.
Details
Available today. Use it from your connected AI after setup.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this server
LinkedIn data for AI agents: search, profiles, companies, posts. Free key, self-minted, no signup.
Install linkedin
The server’s own address, for the clients that take one directly. Or connect ahel once and every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user linkedin 'https://mcp.veezee.io/linkedin'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://mcp.veezee.io/linkedinAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=linkedin&config=eyJ1cmwiOiJodHRwczovL21jcC52ZWV6ZWUuaW8vbGlua2VkaW4ifQ==Open the link and Cursor adds the server at that address.
ChatGPT
https://mcp.veezee.io/linkedinIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add linkedin --url 'https://mcp.veezee.io/linkedin'Run it once, then sign in with codex mcp login linkedin if the server asks for an account.
From the project's README
As published by veezeehq/veezee-mcp in README.md. This repository publishes several servers, so only the opening is shown here.
LinkedIn, Reddit, and X (formerly Twitter) data for AI agents, over MCP or REST. This repo is the public home and issue tracker for the hosted servers on the official MCP Registry: io.veezee/linkedin (3.1.0), io.veezee/reddit (1.1.0), and io.veezee/x-twitter (1.1.0). The server is a hosted service; this repo also ships a small stdio proxy (npx github:veezeehq/veezee-mcp) for clients that spawn a local command.
- Every call needs a free key, and minting one costs nothing: no signup, no card, no human. See Quickstart below. The free tier is 200 credits per IP per day across all platforms, cached data, first page only. Paying at https://veezee.io/upgrade credits the same key with a higher budget, realtime freshness, and full pagination.
- Website and docs: https://veezee.io
- Found a bug or a gap? Open an issue or write hello@veezee.io.
Run locally (stdio)
For MCP clients that spawn a local command instead of connecting to a URL:
npx github:veezeehq/veezee-mcp
Shortened here. Read the whole README on GitHub.
Signals
- Last commit
- Jul 2026
Advanced
- Delivery
- linkedin MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-veezee-linkedin- Source
- github.com/veezeehq/veezee-mcp
- Hosted endpoint
https://mcp.veezee.io/linkedin
github.com/veezeehq/veezee-mcp