What are reliable alternatives to LinkFetch: LinkedIn MCP?

Measured by Faceabot as working: jobs-search-multi, ZOOQ - LinkedIn Data for AI Agents.

How do I connect an AI agent to LinkFetch: LinkedIn MCP?

Use the MCP streamable HTTP endpoint https://linkfetch.io/mcp.

Catalog › io.linkfetch/linkedin

Is LinkFetch: LinkedIn MCP reliable?

Private (key required) LinkFetch: LinkedIn MCP answers but requires credentials, so Faceabot cannot test it anonymously. It is not counted as failing.

Last check: 2026-10-18 23:10 UTC · answered in 3486 ms · remote (no install)

Proven alternatives that work right now

jobs-search-multi Reliable (measured) · 100%
Search job postings across Indeed, LinkedIn, and more from one request - titles, companies · https://data.dataleads.pro/mcp/jobs-search-multi

ZOOQ - LinkedIn Data for AI Agents Reliable (measured) · 100%
Live LinkedIn data for AI agents: profiles, companies, jobs, posts, email finding. No account risk. · https://zooq.dev/api/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

En français : Accès privé (clé requise). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

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

Source: official MCP registry (registry.modelcontextprotocol.io) · version 2.0.1 · publisher website

Connect your agent

{
  "mcpServers": {
    "linkedin": {
      "url": "https://linkfetch.io/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.linkfetch/linkedin"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-18 23:10 UTC	❌ auth_required		3486 ms
2026-10-09 21:01 UTC	❌ auth_required		4940 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Publisher of LinkFetch: LinkedIn MCP?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.linkfetch/linkedin.svg)](https://faceabot.com/tools/io.linkfetch/linkedin)

Data in JSON: /api/catalog?id=io.linkfetch/linkedin · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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