linkedinautomationsalesrecruitmentmarket-research
MCP server enabling AI assistants to control LinkedIn accounts and retrieve real-time LinkedIn data via cloud browser automation.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Remote HTTPChoose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Overview
Use cases
Search for LinkedIn leads matching specific criteria
Analyze LinkedIn profiles and backgrounds
Draft and send personalized outreach messages
Review and respond to LinkedIn conversations contextually
Gather company and employee data for market research
Key features
Automated LinkedIn lead search and profile analysis
Personalized message drafting and sending
Context-aware conversation reading and reply suggestions
Market and competitor data extraction from LinkedIn
Cloud browser-based action execution with workflow polling
Capabilities & Tool Schemas
Inspect callable tools, capabilities, and parameters exposed to AI agents by Linkedapi MCP.
Extracted Tool Capabilities
Automated LinkedIn lead search and profile analysis
Personalized message drafting and sending
Context-aware conversation reading and reply suggestions
Market and competitor data extraction from LinkedIn
Cloud browser-based action execution with workflow polling
Documentation Overview
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.
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.
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
GitHub stars
66
Stargazers on the source repository.
Last commit
10d ago
Most recent push to the default branch.
Directory activity
1 views
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Frequently Asked Questions about Linkedapi MCP
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Markdown (GitHub README)
[](https://allmcps.com/mcp/linked-api-linkedapi-mcp)HTML Embed
<a href="https://allmcps.com/mcp/linked-api-linkedapi-mcp"><img src="https://allmcps.com/api/badge/linked-api-linkedapi-mcp?style=directory" alt="Linkedapi MCP on AllMCPs" /></a>Technical Specs & Signals
CategorySearch & Data Extraction
PricingFreemium
11/11 checks healthy over the last 32d
45Quality signal: Fair · 45/100How this signal is calculated ▾
Server availabilityNot measured
Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.
Verified ownership10/20
Documentation & tools17/30
Adoption & activity7/15
Community engagement0/10
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