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The OutX MCP server lets AI agents interact with the full OutX API through the Model Context Protocol. Create watchlists, search posts, fetch profiles, and engage on LinkedIn — all via natural language prompts.

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Install

npx outx-mcp-server
Requires Node.js 18+ and an OutX API key. Get your key.

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Setup

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Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json: 
{
  "mcpServers": {
    "outx": {
      "command": "npx",
      "args": ["-y", "outx-mcp-server"],
      "env": {
        "OUTX_API_KEY": "your-api-key"
      }
    }
  }
}

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Cursor

Add to .cursor/mcp.json in your project: 
{
  "mcpServers": {
    "outx": {
      "command": "npx",
      "args": ["-y", "outx-mcp-server"],
      "env": {
        "OUTX_API_KEY": "your-api-key"
      }
    }
  }
}

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Claude Code

Add to .mcp.json in your project: 
{
  "mcpServers": {
    "outx": {
      "command": "npx",
      "args": ["-y", "outx-mcp-server"],
      "env": {
        "OUTX_API_KEY": "your-api-key"
      }
    }
  }
}

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Available Tools

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Watchlist Management

28 tools covering the full OutX API:
ToolDescription
create_keyword_watchlistMonitor LinkedIn posts matching keywords
create_keyword_watchlist_by_promptCreate a keyword watchlist from a natural-language prompt (AI generates keywords and labels)
list_keyword_watchlistsList all keyword watchlists
update_keyword_watchlistUpdate name, frequency, or status
update_keyword_watchlist_promptUpdate the prompt on an existing watchlist (regenerates all keywords and labels)
delete_keyword_watchlistDelete a keyword watchlist
create_people_watchlistTrack posts from specific LinkedIn profiles
list_people_watchlistsList all people watchlists
update_people_watchlistUpdate name, frequency, or status
delete_people_watchlistDelete a people watchlist
create_company_watchlistMonitor posts from LinkedIn company pages
list_company_watchlistsList all company watchlists
update_company_watchlistUpdate name, frequency, or status
delete_company_watchlistDelete a company watchlist

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Posts & Engagement

ToolDescription
get_postsSearch and filter posts with 15+ parameters
get_interactionsRetrieve likes and comments for posts in a watchlist with filtering, pagination, and daily graph data
like_postLike a watchlist post
comment_on_postComment on a watchlist post

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LinkedIn Data API

These tools wrap the async LinkedIn Data API. The MCP server handles polling automatically — you get the result directly.
ToolDescription
fetch_linkedin_profileFetch a profile by slug (name, headline, experience, education, skills)
fetch_linkedin_postsFetch posts from profiles by URN
fetch_linkedin_companyFetch company page data by slug (industry, employee count, description)
fetch_linkedin_company_postsFetch recent posts from a company page
linkedin_send_messageSend a direct message to a 1st-degree connection
linkedin_search_profilesSearch LinkedIn profiles by title, company, location, and more
linkedin_fetch_connectionsFetch your 1st-degree connections with keyword search and pagination
linkedin_like_postLike a post by activity URN
linkedin_comment_on_postComment on a post by activity URN
get_task_statusCheck status of an async task manually
LinkedIn Data tools require the OutX Chrome extension to be active within the last 48 hours.

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Example Prompts

Once connected, try these with your AI agent: Social listening:
  • “Create a watchlist to monitor LinkedIn posts about AI startups raising Series A”
  • “Show me trending posts from my watchlists this week”
  • “What are VPs posting about machine learning?”
Profile & company research:
  • “Fetch the LinkedIn profile for williamhgates”
  • “Get recent posts from this prospect’s profile”
  • “Get company info and recent posts for OpenAI”
  • “Search for VPs of Engineering at Google in the US”
  • “Show me my most recently added connections”
Engagement & messaging:
  • “Like the most engaging post about product management”
  • “Comment ‘Great insights!’ on this post”
  • “Send a message to this connection thanking them for connecting”

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How It Works

The MCP server connects to the OutX API using your API key. When an AI agent calls a tool:
  1. The server translates the tool call into an OutX API request
  2. For LinkedIn Data tools, it automatically submits the async task and polls until complete
  3. Results are returned as structured JSON the agent can reason about
AI Agent ←→ MCP Protocol ←→ OutX MCP Server ←→ OutX API ←→ LinkedIn

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Source Code

The MCP server is open source: github.com/outxai/outx-mcp-server

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Partnerships

Interested in a collaboration or affiliate partnership? Reach out at support@outx.ai.

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Learn More