MCP Server Integration
Connect ConnectSafely to AI assistants using Model Context Protocol (MCP)
Enable powerful AI-driven workflows by connecting ConnectSafely to MCP-compatible tools. Let AI assistants like Claude Desktop, Cursor, and n8n intelligently manage your LinkedIn engagement and automation.
What is Model Context Protocol?
Model Context Protocol (MCP) is an open protocol developed by Anthropic that standardizes how applications provide context to AI models. With MCP, you can:
- Connect AI assistants directly to ConnectSafely's features
- Build AI-driven workflows without manual data entry
- Seamlessly integrate with any MCP-compatible tool
Getting Your MCP Server URL
Note: MCP server access is available for Pro and Agency plan subscribers.
- Log in to your ConnectSafely account
- Navigate to MCP Setup from the sidebar
- Copy your unique MCP server URL:
https://mcp.connectsafely.ai/?apiKey=YOUR_API_KEY
⚠️ Security: Keep your MCP server URL secure - it contains your API key for authentication.
Supported Platforms
ConnectSafely MCP server works with any MCP-compatible client:
- Claude Desktop - AI-powered LinkedIn management
- Cursor IDE - AI-assisted development workflows
- n8n AI Agents - Advanced automation with AI context
- ChatGPT - AI assistant integration
- Zed Editor, Continue, Langchain, and more
Key Benefits
AI-Powered Automation
Let AI assistants intelligently manage your LinkedIn comments, posts, and engagement strategies based on real-time context.
Universal Standard
Open protocol means you can use ConnectSafely with any MCP-compatible tool - no vendor lock-in.
Seamless Integration
Integrate ConnectSafely into your existing AI workflows without switching contexts or manual copy-paste.
Secure & Private
Your API key ensures secure access with full control over permissions and data.
Quick Start
- Get your MCP URL from the MCP Setup page
- Choose your platform from the guides below:
- Start building AI-powered LinkedIn workflows
SDK Integration
For developers who want to integrate ConnectSafely MCP server programmatically into their applications:
- TypeScript SDK - Integrate using Node.js and TypeScript
- Python SDK - Integrate using Python with asyncio
