YepCode MCP Server: Turn Your Workflows Into AI Tools

Your YepCode processes sitting there doing great work, but your AI assistant can't touch them. The YepCode MCP server fixes that disconnect by exposing any YepCode process as an MCP tool that AI platforms can call directly.

Stop Rebuilding What You Already Built

You've invested time building solid automation workflows in YepCode. Data transformations, API integrations, scheduled jobs - all running reliably in production. Now when you want AI assistance with these workflows, you're stuck copying code into chat windows or rebuilding logic from scratch.

This MCP server changes that. Tag any YepCode process with mcp-tool and it becomes instantly available to your AI assistant. No code changes, no rebuilding, no migration headaches.

Enterprise-Grade Execution, Zero Setup

When your AI assistant runs code through this server, it's executing in YepCode's isolated, production-ready environment - not some untested sandbox. You get the same security, monitoring, and reliability you already depend on for your critical workflows.

The server handles authentication, error management, and execution tracking automatically. Your AI gets clean responses with logs, return values, and proper error handling without you writing any integration code.

Multiple Integration Paths

Remote Hosted (Fastest): YepCode provides a hosted MCP server. Just drop your API token into the URL and you're running:

{
  "mcpServers": {
    "yepcode": {
      "url": "https://cloud.yepcode.io/mcp/sk-your-token/sse"
    }
  }
}

Local NPX (Most Flexible): Run locally with full control:

{
  "mcpServers": {
    "yepcode": {
      "command": "npx",
      "args": ["-y", "@yepcode/mcp-server"],
      "env": {
        "YEPCODE_API_TOKEN": "your_token_here"
      }
    }
  }
}

Docker (For Containers): Standard Docker deployment for containerized environments.

Real-World Use Cases

Data Pipeline Troubleshooting: "Check the ETL process that failed last night and re-run it with these parameters." Your AI can examine logs, adjust inputs, and trigger re-execution without you context-switching between tools.

Dynamic Workflow Orchestration: "Process this CSV file, validate the data, then send results to Slack if everything looks good." Your AI coordinates multiple YepCode processes based on real-time conditions.

API Integration Management: "Update the customer data in Salesforce, then sync to our internal database." Existing integrations become AI-controllable without exposing credentials or rebuilding connections.

Environment Configuration: Set and manage environment variables across your YepCode workspace directly through AI conversation, maintaining proper separation of configuration from code.

Beyond Process Execution

The server provides complete workflow control:

• Live Code Execution: Run arbitrary code in YepCode's environment for testing and debugging
• Environment Management: Set and remove environment variables programmatically
• Execution Monitoring: Track process runs with detailed logging and error reporting
• Async Support: Handle long-running processes with proper async execution patterns

Integration Reality

Works immediately with Claude Desktop, Cursor, and any MCP-compatible AI platform. The hosted option means you can be running in under two minutes - just grab your YepCode API token and add the configuration.

For teams already using YepCode, this creates an immediate productivity multiplier. Your existing automation infrastructure becomes AI-controllable without migration, rebuilding, or security compromises.

Your workflows become conversational. Your AI becomes workflow-aware. Your productivity compounds.