This server connects your LinkedIn account to AI assistants, enabling automation of LinkedIn tasks across messaging, outreach, profile research, content management, and administration — with support for both standard LinkedIn and Sales Navigator.
Messaging & Conversations
Send direct messages to connections (standard or Sales Navigator)
Retrieve conversation history with any LinkedIn contact
Connection Management
Send connection requests (with optional note/email), withdraw pending requests, remove connections
Check connection status, retrieve existing connections and pending outgoing requests
People & Profile Search
Search for people using filters (name, position, company, location, industry, schools)
Fetch detailed profiles including experience, education, skills, languages, posts, comments, and reactions
Sales Navigator: advanced search with additional filters (e.g., years of experience) and profile fetching via hashed URLs
Company Research
Search companies by size, location, and industry; fetch company pages with employees, posts, and decision makers
Sales Navigator: search with additional filters (e.g., annual revenue) and fetch enriched company profiles
Content & Engagement
Create LinkedIn posts with optional media attachments (as yourself or a company page)
React to and comment on posts; fetch post details including comments and reactions
Analytics & Performance
Retrieve your Social Selling Index (SSI) and LinkedIn dashboard analytics
Get API usage statistics for a specified date range
Workflow Automation
Execute custom workflow definitions and poll long-running background operations for results
Account & Subscription Administration
Manage subscription status, seats, and billing periods
Connect/disconnect LinkedIn accounts, regenerate auth tokens
Set or reset rate limits per account; monitor usage against configured limits
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Linked API MCPsearch for software engineers at startups in San Francisco"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Linked API MCP server connects your LinkedIn account to AI assistants like Claude, Cursor, and VS Code. Ask them to search for leads, send messages, analyze profiles, and much more – they'll handle it through our cloud browser, safely and automatically.
Use cases
Sales automation assistant. Ask your AI to find leads, check their profiles, and draft personalized outreach. It can search for "software engineers at companies with 50-200 employees in San Francisco", analyze their backgrounds, and suggest connection messages that actually make sense.
Recruitment assistant. Let your assistant search for candidates with specific skills, review their experience, and send initial outreach. It handles the time-consuming parts while you focus on actually talking to people.
Conversation assistant. Your AI can read your existing LinkedIn conversations and help you respond naturally. It understands the context of your chats, suggests relevant replies, and can even send follow-up messages.
Market research assistant. Need competitor analysis? Your assistant can gather data about companies, their employees, and recent activities. Get insights about industry trends without spending hours on LinkedIn.
Related MCP server: LinkedIn Profile MCP Server
Get started
To start using Linked API MCP, spend 2 minutes reading these essential guides:
Installation – set up MCP in Claude, Cursor, VS Code, or Windsurf.
Available tools – explore all the LinkedIn tools your assistant can call.
Usage examples – see real-world examples to get you started quickly.
Long-running actions
Linked API actions run through a cloud browser and are queued like normal automation. Many actions take several minutes, especially searches and profile fetches with optional data.
If a tool returns status, workflowId, operationName, and message, the action is still running. Do not retry the original tool because that can queue duplicate work. Call get_workflow_result with the exact workflowId and operationName until the final result is returned. By default get_workflow_result long-polls until the workflow completes or the current MCP client's request budget elapses; pass waitSeconds: 0 for an immediate single-shot snapshot.
License
This project is licensed under the MIT – see the LICENSE file for details.
Maintenance
Resources
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If you are the server author, to access and configure the admin panel.
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