Skip to main content
OutX is built for AI agent integration. Use these resources to connect your AI workflows to LinkedIn data and social listening.

​
Get Your API Key

Before integrating, get your API key:
  1. Visit mentions.outx.ai/api-doc and click “Reveal API Key”
  2. Store it as an environment variable: export OUTX_API_KEY="your-key"
Or authenticate programmatically via OTP — no browser needed.

​
Docs for Agents

Four ways to connect OutX to your AI agent:

MCP Server

Connect Claude, Cursor, or any MCP-compatible agent to OutX. 20 tools covering the full API. Best for interactive agents.

Skill File

Structured API reference with guardrails, parameter tables, and code examples. Best for system prompts.

llms.txt

Concise index of all documentation pages with one-line descriptions. Best for discovery.

Full Docs

Complete documentation concatenated into a single file. Best for comprehensive context.

​
Quick Start Prompts

Copy these prompts into your AI agent to get started:

​
Monitor LinkedIn for keywords

Use the OutX API (base URL: https://api.outx.ai, auth: x-api-key header) to:
1. Create a keyword watchlist: POST /api-keyword-watchlist with {"keywords": ["your keyword"], "fetchFreqInHours": 6}
2. After the next fetch cycle, retrieve posts: GET /api-posts?watchlist_id=WATCHLIST_ID&sort_by=recent_first
3. Like relevant posts: POST /api-like with {"post_id": "ID_FROM_POSTS", "user_email": "you@company.com"}

​
Fetch a LinkedIn profile

Use the OutX API (base URL: https://api.outx.ai, auth: x-api-key header) to:
1. Fetch profile: POST /linkedin-agent/fetch-profile with {"profile_slug": "linkedin-slug"}
2. Poll: GET /linkedin-agent/get-task-status?api_agent_task_id=TASK_ID (every 5s until status is "completed")
3. Read profile data from task_output
Note: All LinkedIn Data endpoints are async — always poll for results.

​
AI Builder Integrations

​
MCP (Claude Desktop / Cursor / Claude Code)

Install the OutX MCP server for full API access via natural language: 
npx outx-mcp-server
See MCP Server setup guide for configuration details.

​
Skill File (System Prompts)

Add the OutX skill file to your project for static API context: 
curl -o outx-skill.md https://outx.ai/docs/outx-skill.md
Reference it in your CLAUDE.md or Cursor rules to give the AI agent full API context.

​
Any LLM / Agent Framework

Include the skill file content in your system prompt, or point your agent to https://outx.ai/docs/llms.txt for documentation discovery. See also the LangChain and Python SDK integrations.

​
What’s Next

Watchlist Quick Start

Create watchlists and retrieve posts via API

LinkedIn Data Quick Start

Fetch LinkedIn profiles in 2 minutes

API Reference

Full API documentation

MCP Server

Connect AI agents to OutX via MCP