LinkedIn · MCP Server · Model Context Protocol
LinkedIn MCP Server Integration for AI Agents
Connect LinkedIn to Claude, ChatGPT, and Cursor through the Model Context Protocol. Let an AI agent publish posts, monitor comments and messages, and enrich leads from profiles — with no code and no API wrangling.
Start with a ready-made prompt
Click one and it fills the box above. Edit it, then build.
Teams run LinkedIn agents for
What is the LinkedIn MCP Server?
The LinkedIn MCP Server is a Model Context Protocol connector that exposes your LinkedIn posts, comments, messages, and connections to AI agents — so a model like Claude or ChatGPT can read and act on them safely, instead of you copying data across by hand.
LinkedIn does its job well — but everything around it is still manual: drafting posts, watching for comments, replying to messages, chasing new connections. The Model Context Protocol (MCP) is an open standard that lets an AI agent call an app's actions directly. Flozic's LinkedIn MCP Server wires those LinkedIn actions into any MCP-compatible agent.
On Flozic, the LinkedIn MCP Server gives you:
- LinkedIn over its official API — publish posts and read comments, messages, and connections through approved endpoints, no raw keys to manage and no scraping
- MCP tools for any agent — Claude, ChatGPT, and Cursor call the same LinkedIn tools to draft, monitor, reply, and enrich
- AI reasoning inside the flow — the agent decides which LinkedIn action to take, then chains it across 1,000+ other apps, no code
Connect LinkedIn to your AI agent in 3 steps
No custom API code, no developer. Authorize LinkedIn, enable the MCP server, and point your agent at Flozic — live in under 15 minutes.
Connect LinkedIn
Authorize your LinkedIn company page or profile over OAuth in one click. No raw API keys to copy, no backend to host.
Enable the MCP server
Turn on the LinkedIn MCP Server in Flozic. It exposes post, comment, message, and connection tools over the Model Context Protocol, ready for any agent.
Point your agent & run
Connect Claude, ChatGPT, or Cursor to the Flozic MCP endpoint. Your agent can now act on LinkedIn in real time, with every action logged and replayable.
What AI agents can do with LinkedIn via MCP
The LinkedIn MCP Server exposes posts, comments, messages, and connections as tools. An agent reads context, reasons, and acts — covering publishing, engagement, lead capture, and alerting end to end.
Draft, publish & schedule
Ask the agent to draft a post, polish the copy, or schedule it to your LinkedIn company page — it publishes through the official API and the MCP tools.
agent: draft launch post
→ schedule to linkedin page
→ publish at set time
Monitor & reply to comments
The agent can watch a post for new comments and messages and draft a reply in your voice — with the right tone and timing.
agent: watch new comment
→ draft reply on linkedin
→ alert slack if urgent
Reason, then route
The agent decides which LinkedIn action to take, then chains the result across 1,000+ apps — enrich a lead, log a CRM record, or update a sheet.
new message → agent triage
→ enrich lead profile
→ log to crm
LinkedIn MCP Server vs a Zapier/API integration
The common ways to connect LinkedIn, compared on AI agents, price, and reach across your other tools.
| Capability | Flozic MCP | Zapier | Make | n8n | Raw API |
|---|---|---|---|---|---|
| Live tools for an AI agent | Yes (MCP) | No | No | Via code | DIY |
| AI reasoning decides the action | Built-in | Add-on | Add-on | Via code | No |
| LinkedIn posts, comments, messages & connections | All | Most | Most | DIY | Manual |
| No-code setup | Yes | Yes | Yes | Code-first | No |
| Works with Claude / ChatGPT / Cursor | Any MCP client | No | No | DIY | DIY |
| Free to start | 7-day free trial | 100 tasks/mo | 1,000 ops/mo | Self-hosted | Free |
| Starting price (platform) | $19/mo flat | $19.99/mo | $9/mo | Free self-host | Free |
| Reaches 1,000+ other apps | Yes | Yes | Yes | DIY | No |
Design LinkedIn agent flows on a visual canvas
Put a LinkedIn trigger on the left, an AI agent step in the middle, and your destination apps on the right. Watch real-time test runs show exactly what the agent did.
A canvas built for agents, not just rows
An MCP-driven workflow is more than "copy a record." Flozic treats the post or message as the trigger: LinkedIn fires it, an AI agent reasons over it, and the right apps act — with logic branches on any field.
- LinkedIn post, comment, message, and connection tools over MCP
- AI agent reads context and decides the action (Claude, ChatGPT, Gemini)
- Map any LinkedIn field into the workflow and any result back
- Branch on any field, value, or status
- Real-time test runs with per-step latency
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IntegrationsLinkedIn integrations
Browse every no-code LinkedIn integration and pre-built connector on Flozic.
DirectoryAll MCP servers
See the full directory of Flozic MCP servers you can connect to Claude, ChatGPT, and Cursor.
AI AgentsFlozic AI Agents
Build and deploy AI agents that use LinkedIn and your other MCP tools.
BuilderAI Workflow Builder
Chain LinkedIn actions with AI steps and 1,000+ apps on a visual canvas.
Search 1,000+ apps to connect to LinkedIn
Type any app you want to use alongside LinkedIn in your agent workflows — anything in our 1,000+ connector catalog.
Press Enter or just start typing — results update as you type
One LinkedIn account, every team puts its agent to work differently
Pick your team's LinkedIn use case — every agent flow is pre-mapped and live in minutes.
Operations
- Log messages → CRM
- Monitor comments → route
- Alert on mentions
- Log to Sheets
Marketing
- New post → track engagement
- Schedule content calendar
- Sync to content tool
- Report weekly
Sales / RevOps
- New message → Slack
- Score vs ICP
- Create CRM record
- Enrich the lead
AI teams
- post → AI summary
- Classify + extract
- Draft a reply
- Route by result
Connect LinkedIn to every tool your team already uses
Extend your LinkedIn agent across your stack. Each tile opens a real integration hub with triggers, actions, and ready-to-deploy templates.
Slack
Gmail
Google Calendar
Microsoft Teams
Salesforce
HubSpot
Notion
Google Drive
OneDrive
GitHub
Zoom
Todoist
AI reasoning built into every LinkedIn flow
Claude, GPT, Gemini — the agent reads LinkedIn context, decides the action, and drafts, classifies, or routes. AI is a built-in node on every plan.
AI on every email & event
Use Claude to draft, GPT to classify, or Gemini for cheap triage — then act on the clean result. Switch models in 1 click.
LinkedIn tools over MCP
Post, comment, message, and connection tools with full field access — the LinkedIn toolkit exposed as first-class Model Context Protocol tools for any agent.
Connect your whole stack
Chain LinkedIn actions out to CRM, chat, and sheets, and pull data back into LinkedIn — 1,000+ apps, no glue code.
A team gave their AI agent LinkedIn and stopped drowning in manual posting
How a team automated LinkedIn end to end
Every new comment and message used to be handled by hand — read, triaged, logged into the CRM, and forwarded to the team. They connected the LinkedIn MCP Server: an AI agent now drafts replies to comments, enriches new leads from their profiles, logs messages to the CRM, and posts to Slack. The manual work is gone and the team got hours back every week.
Enterprise-grade security by default
Scoped OAuth, SOC 2 Type II audited, GDPR + CCPA compliant, ISO 27001 aligned. LinkedIn connects over its official API with scoped access — no scraping — your data is never used to train any LLM, and every agent action is logged.
What teams say after connecting LinkedIn to their AI agent
Verified operations, marketing, and sales leads reviewing Flozic on G2 — 4.7★ across 1,388 reviews. No incentives, no edits.
"Our agent drafts replies to comments, logs inbound messages, and enriches new leads for us. We deleted a whole manual step."
"Pointing Claude at the LinkedIn MCP server took an afternoon, and it's run for months without us touching it."
"Honest note: setting the agent's permissions took a little thought. After that, the LinkedIn flow has been completely hands-off."
Common questions about the LinkedIn MCP Server
Answers to the most-searched LinkedIn MCP Server questions — what MCP is, connecting Claude and ChatGPT, no-code setup, what an agent can do, pricing, and security.
What is the LinkedIn MCP Server?+
What is an MCP server?+
How do I connect LinkedIn to Claude or ChatGPT?+
Is the LinkedIn MCP Server free?+
What can an AI agent do with LinkedIn?+
Do I need to write code to use it?+
Is the LinkedIn MCP Server secure?+
Which AI agents work with the LinkedIn MCP Server?+
How is the MCP server different from a Zapier or API integration?+
Written by founders who ship AI agents & MCP integrations in production
"An app like LinkedIn is only as good as what your AI agent can do with it. We built the Flozic MCP servers so a team can hand Claude or ChatGPT the tools to publish content and manage engagement — safely, and in an afternoon instead of a quarter."
Abhinav founded Appy Pie LLP in 2016 after a Computer Science degree from the University of Westminster. Over the last decade his teams have shipped no-code platforms used by 10M+ users — and today lead Flozic's AI workflow platform. He has worked with operations, marketing, and sales teams to ship LinkedIn MCP integrations across the stack.
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