Let AI tools securely access your LinkedIn network and DMs
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-coolsapiens-linkedin-mcp": {
"command": "<see-readme>",
"args": []
}
}
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Let AI tools securely access your LinkedIn network and DMs
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Let AI tools securely access your LinkedIn network and DMs.
TalkToHumans LinkedIn MCP lets Claude, Codex, Cursor, ChatGPT, and other MCP-compatible AI clients search your LinkedIn contacts, network, and conversations.
Use it to find warm leads, hidden opportunities, intro paths, partners, candidates, and follow-up opportunities already sitting inside your LinkedIn network.
Server URL:
https://api.talktohumans.app/mcp
Your warmest opportunities are often already connected to you:
But LinkedIn makes it hard to search, filter, and actually use your own network.
With TalkToHumans MCP, you can ask your AI assistant questions like:
Find 20 people in my LinkedIn network who match my ICP.
Find people who could introduce me to founder-led SaaS companies.
Search my LinkedIn DMs for conversations with recruiters I should follow up with.
Create a TalkToHumans contact view for these leads so I can message them.
Instead of manually digging through LinkedIn, your AI agent can search structured LinkedIn workspace data and return useful people, context, and next actions.
TalkToHumans MCP helps AI clients work with your LinkedIn workspace.
Common use cases:
Use TalkToHumans MCP to analyze my LinkedIn network and find 20 hidden leads that match my ICP.
My ICP is: founder-led B2B SaaS companies with 5-50 employees using LinkedIn for sales.
Return a table with:
- full name
- LinkedIn URL
- company
- why they are a good fit
- warmth score
- suggested outreach angle
Use TalkToHumans MCP to find people in my LinkedIn network who could introduce me to my ideal customers.
My ICP is: independent recruiters and small recruiting teams using LinkedIn daily.
Return:
- person
- why they are relevant
- who they may know
- suggested intro ask
- confidence level