LinkedIn MCP (by TalkToHumans)
Connects AI clients to LinkedIn conversations, network search, contact enrichment, analytics, and human-reviewed message drafting.
Install LinkedIn MCP (by TalkToHumans)
Pick your client, then add it in one click or paste the config.
https://api.talktohumans.app/mcp
Remote servers are added in the app, not the config file: Customize → Connectors → Add custom connector, then paste this URL.
Overview
Use cases
- Find network contacts that match an ideal customer profile
- Triage LinkedIn, Sales Navigator, and Recruiter conversations awaiting replies
- Draft personalized messages and stage reviewable follow-up sequences
- Score, enrich, and synchronize LinkedIn leads with a CRM
Key features
- LinkedIn conversation and network search
- Work email and mobile phone enrichment
- Human-reviewed message and follow-up drafting
- Outreach performance analysis
- ICP scoring, tagging, and lead imports
- Streamable HTTP with OAuth
Security & health
What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.
ActiveLast checked
Recent health check succeeded.
23/23 checks healthy over the last 95d
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
GitHub stars36Stargazers on the source repository.
Last commit2d agoMost recent push to the default branch.
Directory activity3 viewsConfig copies, upvotes, and views on AllMCPs.
How LinkedIn MCP (by TalkToHumans) works
Reviews
No reviews yet — be the first to share how it worked for you.
Frequently Asked Questions about LinkedIn MCP (by TalkToHumans)
LinkedIn MCP (by TalkToHumans) is an MCP server that connects AI clients to a TalkToHumans workspace linked to your LinkedIn account. Its main tools read conversations, search your network, enrich profiles with work email and mobile numbers, analyze outreach, and draft messages or follow-ups for your review before sending.
Add https://api.talktohumans.app/mcp as a remote MCP server, then sign in to TalkToHumans. You need a Pro plan and the TalkToHumans browser extension connected to LinkedIn. Client-specific setup is available for Claude, Claude Code, Codex, Cursor, and VS Code.
Yes, LinkedIn MCP (by TalkToHumans) works with Cursor through its remote MCP configuration. Add the TalkToHumans endpoint under mcpServers in ~/.cursor/mcp.json, and Cursor prompts you to sign in the first time it uses the connection.
No, it drafts messages and stages follow-up sequences for human review rather than sending them automatically. You review the draft and press send yourself, and staged follow-ups can stop when a lead replies.
It applies account-level daily limits and gaps between actions, with pacing shared across agents and teammates. Agents read synchronized data for repeated questions, while LinkedIn actions run through the connected browser instead of cloud automation or proxy IPs.
Related MCP servers
Add a badge to your READMEShow it’s listed — live SVG, Markdown or HTML.
AllMCPs Directory Badge
Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.
Badge Style:
Live Dynamic SVG Preview
Markdown (GitHub README)
[](https://allmcps.com/mcp/linkedin-mcp-by-talktohumans)HTML Embed
<a href="https://allmcps.com/mcp/linkedin-mcp-by-talktohumans"><img src="https://allmcps.com/api/badge/linkedin-mcp-by-talktohumans?style=directory" alt="LinkedIn MCP (by TalkToHumans) on AllMCPs" /></a>