MCP Server, Connect AI Agents to OutX

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.

Install

npx outx-mcp-server

Requires Node.js 18+ and an OutX API key. Get your key. The server runs locally, launched by your MCP client over stdio through npx. There is no hosted or remote endpoint for the OutX API, so there is no URL to point a client at. If your client offers to connect an OutX AI Docs MCP advertised from this site’s /.well-known, that is a different thing: Mintlify publishes it automatically and it only searches these documentation pages. It cannot create watchlists, read posts, or take any action on your account. For that, use outx-mcp-server locally as shown above.

Setup

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"
      }
    }
  }
}

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"
      }
    }
  }
}

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"
      }
    }
  }
}

Available Tools

Watchlist Management

33 tools covering the full OutX API. Both create modes live on one tool: pass prompt for AI mode or keywords for direct mode.

Tool	Description
`create_keyword_watchlist`	Monitor LinkedIn posts, from a `prompt` or from `keywords`
`list_keyword_watchlists`	List all keyword watchlists
`update_keyword_watchlist`	Update name, keywords, labels, frequency, or status, or regenerate from a new prompt
`delete_keyword_watchlist`	Delete a keyword watchlist
`create_reddit_watchlist`	Monitor Reddit posts and comments, from a `prompt` or from `keywords`
`list_reddit_watchlists`	List all Reddit watchlists
`update_reddit_watchlist`	Update name, keywords, labels, frequency, or status, or regenerate from a new prompt
`delete_reddit_watchlist`	Delete a Reddit watchlist
`create_people_watchlist`	Track posts from specific LinkedIn profiles
`list_people_watchlists`	List all people watchlists
`update_people_watchlist`	Update name or status
`delete_people_watchlist`	Delete a people watchlist
`create_company_watchlist`	Monitor posts from LinkedIn company pages
`list_company_watchlists`	List all company watchlists
`update_company_watchlist`	Update name or status
`delete_company_watchlist`	Delete a company watchlist

Posts, Engagement & Account

Tool	Description
`get_posts`	Search and filter posts with 15+ parameters
`get_interactions`	Retrieve likes and comments for posts in a watchlist with filtering, pagination, and daily graph data
`like_watchlist_post`	Like a watchlist post
`comment_on_watchlist_post`	Comment on a watchlist post
`list_watchlists`	Every watchlist of the team across all four types (id, type, name, slug, disabled, default labels); call it before creating anything
`get_team`	Read your plan, limits, and current usage

LinkedIn Data API

These tools wrap the async LinkedIn Data API. The MCP server handles polling automatically — you get the result directly.

Tool	Description
`fetch_linkedin_profile`	Fetch a profile by slug (name, headline, experience, education, skills)
`fetch_linkedin_profile_posts`	Fetch posts from profiles by URN
`fetch_linkedin_company`	Fetch company page data by slug (industry, employee count, description)
`fetch_linkedin_company_posts`	Fetch recent posts from a company page
`search_linkedin_profiles`	Search LinkedIn profiles by title, company, location, and more
`fetch_linkedin_connections`	Fetch your 1st-degree connections with keyword search and pagination
`send_linkedin_message`	Send a direct message to a 1st-degree connection
`send_linkedin_connection_request`	Send a connection request, with an optional note
`like_linkedin_post`	Like a post by activity URN
`comment_on_linkedin_post`	Comment on a post by activity URN
`get_task_status`	Check status of an async task manually

LinkedIn Data tools require the OutX Chrome extension to be active within the last 48 hours.

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”

How It Works

The MCP server connects to the OutX API using your API key. When an AI agent calls a tool:

The server translates the tool call into an OutX API request
For LinkedIn Data tools, it automatically submits the async task and polls until complete
Results are returned as structured JSON the agent can reason about

AI Agent ←→ MCP Protocol ←→ OutX MCP Server ←→ OutX API ←→ LinkedIn

Source Code

The MCP server is published on npm as outx-mcp-server. Version 1.8.0 (2026-08-28) adds list_watchlists, member editing on people and company watchlists, labels=default on get_posts, and failure reasons on task status.

Partnerships

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

Getting Started

Authentication (OTP)

Keyword Watchlist

People Watchlist

Company Watchlist

Reddit Watchlist

Posts & Engagement

Team & Usage

LinkedIn Data

Integrations

MCP Server, Connect AI Agents to OutX

Install

Setup

Claude Desktop

Cursor

Claude Code

Available Tools

Watchlist Management

Posts, Engagement & Account

LinkedIn Data API

Example Prompts

How It Works

Source Code

Partnerships

Learn More

​Install

​Setup

​Claude Desktop

​Cursor

​Claude Code

​Available Tools

​Watchlist Management

​Posts, Engagement & Account

​LinkedIn Data API

​Example Prompts

​How It Works

​Source Code

​Partnerships

​Learn More

Install

Setup

Claude Desktop

Cursor

Claude Code

Available Tools

Watchlist Management

Posts, Engagement & Account

LinkedIn Data API

Example Prompts

How It Works

Source Code

Partnerships

Learn More