LinkFetch: LinkedIn MCP

Name: LinkFetch: LinkedIn MCP
Author: ffucucuoglu

by ffucucuogluversion 2.0.1i★ –iComputer or cloud

Registry nameio.linkfetch/linkedin

Install

Overview

Description from the maker (original English)

LinkedIn jobs, companies and people for AI agents, plus messages and invites via your own account.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi0 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Marketing & social media
You need to fill in: LINKFETCH_API_KEY, Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 0 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: LINKFETCH_API_KEY, Authorization

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": [
        "-y",
        "linkfetch-mcp"
      ],
      "env": {
        "LINKFETCH_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http linkedin https://linkfetch.io/mcp --header 'Authorization: Bearer {api_key}'

Or run it on your computer

claude mcp add linkedin --env LINKFETCH_API_KEY=your-value -- npx -y linkfetch-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "linkedin": {
      "url": "https://linkfetch.io/mcp",
      "headers": {
        "Authorization": "Bearer {api_key}"
      }
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": [
        "-y",
        "linkfetch-mcp"
      ],
      "env": {
        "LINKFETCH_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "linkedin": {
      "type": "http",
      "url": "https://linkfetch.io/mcp",
      "headers": {
        "Authorization": "Bearer {api_key}"
      }
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "linkedin": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "linkfetch-mcp"
      ],
      "env": {
        "LINKFETCH_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

LINKFETCH_API_KEY secret required env
Your LinkFetch API key (lf_…), created on the MCP page of the dashboard.
Authorization secret required HTTP header
Bearer followed by your LinkFetch API key (lf_…), created on the MCP page of the dashboard.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

! Caution
Maker matches the repo
The publisher (linkfetch.io) is not the repo owner (ffucucuoglu); someone else may have listed it
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Marketing & social mediai

More stars than 0% of the other 2954 servers in this category
Published to the registry more recently than 52% of the other 2954 servers in this category
Basic checks equal to or better than 45% of the other 2954 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is LinkFetch: LinkedIn MCP safe?

It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: LINKFETCH_API_KEY, Authorization

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.0.1) reached the registry 27 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

LinkedIn MCP server for Claude, Cursor and any AI agent

linkfetch-mcp gives any AI agent a full set of LinkedIn tools: search every public LinkedIn job since April 2026, look up companies, score and sort them with AI functions, and, through a LinkedIn account you connect, search people and posts, read profiles and your inbox, and send messages and connection requests.

It is a small stdio bridge to LinkFetch's hosted MCP server: every tool call goes to https://linkfetch.io/mcp with your API key, so the tools and prices are always current and nothing runs a browser on your machine. If your client supports remote MCP over HTTP, you can skip this package and use the URL directly.

Full tool list with prices, and setup for each client: linkfetch.io/mcp/claude

Tools

Jobs and companies (no LinkedIn account needed): search_jobs, get_job, search_companies, get_company
AI functions: ai_score, ai_classify, ai_extract, ai_write, each over up to 25 jobs or companies
Your leads: list_leads, save_lead, list_lead_lists
Through your connected LinkedIn account: people and company search, profiles, employees, posts and reactions, connections, invitations, conversations, messages, comments, reactions, follows

Each call costs a flat number of credits, stated in the tool's description. Every connected account works inside daily and weekly limits that LinkFetch enforces whatever the agent asks for.

Setup

Create an API key (lf_…) on the MCP page of your LinkFetch dashboard. New accounts start with free credits. Then add the server to your client: every client runs npx -y linkfetch-mcp with LINKFETCH_API_KEY set. Node.js 18+ is required.

Upgrading from 0.1.x? Keys starting with sk_live_ stopped working when LinkFetch 2 launched in October 2026. Create a new lf_… key and replace it in your config.

Claude Desktop

Settings → Developer → Edit Config, or edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows):

"mcpServers": { "linkfetch": { "command": "npx", "args": ["-y", "linkfetch-mcp"], "env": { "LINKFETCH_API_KEY": "lf_..." } } } }

Fully quit and reopen Claude.

Claude Code

claude mcp add linkfetch -e LINKFETCH_API_KEY=lf_... -- npx -y linkfetch-mcp

Cursor, Windsurf, Gemini CLI, Cline

These use the same mcpServers block as Claude Desktop above. Put it in:

Client	Config file
Cursor	`~/.cursor/mcp.json` (global) or `.cursor/mcp.json` (project)
Windsurf	`~/.codeium/windsurf/mcp_config.json`
Gemini CLI	`~/.gemini/settings.json`
Cline	MCP Servers → Configure → `cline_mcp_settings.json`

VS Code (GitHub Copilot agent mode)

.vscode/mcp.json:

"servers": { "linkfetch": { "command": "npx", "args": ["-y", "linkfetch-mcp"], "env": { "LINKFETCH_API_KEY": "lf_..." } } } }

OpenAI Codex CLI

~/.codex/config.toml:

[mcp_servers.linkfetch]

command = "npx" args = ["-y", "linkfetch-mcp"] env = { LINKFETCH_API_KEY = "lf_..." }

Zed

settings.json:

"context_servers": { "linkfetch": { "command": "npx", "args": ["-y", "linkfetch-mcp"], "env": { "LINKFETCH_API_KEY": "lf_..." } } } }

Your own agent

Any MCP client library can spawn the server over stdio. OpenAI Agents SDK (Python):

from agents import Agent, Runner

from agents.mcp import MCPServerStdio

async with MCPServerStdio(params={ "command": "npx", "args": ["-y", "linkfetch-mcp"], "env": {"LINKFETCH_API_KEY": "lf_..."}, }) as linkfetch: agent = Agent(name="LinkedIn researcher", mcp_servers=[linkfetch]) result = await Runner.run(agent, "Which companies in Berlin started hiring data engineers this week?")

LangChain users can load the same server with langchain-mcp-adapters.

No install: remote MCP

Clients that support remote MCP over Streamable HTTP can connect to the hosted server directly:

URL: https://linkfetch.io/mcp
Header: Authorization: Bearer lf_...

Claude (desktop or claude.ai): Settings → Connectors → Add custom connector, with https://linkfetch.io/mcp?key=lf_... as the URL.

Claude Code: claude mcp add --transport http linkfetch https://linkfetch.io/mcp --header "Authorization: Bearer lf_..."

Environment variables

Variable	Required	Default
`LINKFETCH_API_KEY`	yes		Your `lf_…` key
`LINKFETCH_MCP_URL`	no	`https://linkfetch.io/mcp`	Point at another LinkFetch MCP endpoint

Errors

A missing, old or rejected key comes back as an error on every request, with what to do about it, so the agent can tell you. Tool errors (no credits left, no LinkedIn account connected, a limit reached) come from the hosted server as normal tool results.

Development

npm install

npm run build LINKFETCH_API_KEY=lf_... node dist/index.js

src/index.ts is the whole server: it opens one MCP client connection to the hosted server and forwards tools/list and tools/call to it.

License

MIT

LinkFetch: LinkedIn MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Marketing & social mediai

Common questions

Alternatives

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

README from the maker

LinkedIn MCP server for Claude, Cursor and any AI agent

Tools

Setup

Claude Desktop

Claude Code

Cursor, Windsurf, Gemini CLI, Cline

VS Code (GitHub Copilot agent mode)

OpenAI Codex CLI

Zed

Your own agent

No install: remote MCP

Environment variables

Errors

Development

License