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Temporal MCP Server

Empowering AI with Workflow Orchestration

Temporal MCP Server is a bridge connecting AI assistants like Claude with the powerful Temporal workflow engine. By implementing the Model Context Protocol (MCP), it allows AI assistants to discover, execute, and monitor complex workflow orchestrations—all through natural language conversations.

✨ What Can It Do?

Temporal MCP transforms how your AI assistants interact with your backend systems:

  • 🔍 Automatic Discovery — AI assistants can explore available workflows and their capabilities
  • 🏃‍♂️ Seamless Execution — Execute complex workflows with parameters through natural conversations
  • 📊 Real-time Monitoring — Check status of running workflows and get updates
  • ⚡ Performance Optimization — Smart caching of results for faster responses
  • 🧠 AI-friendly Descriptions — Rich metadata helps AI understand workflow purposes and operations

Why Temporal MCP Exists

AI assistants are powerful for generating content and reasoning, but they lack the ability to execute complex workflows or maintain state across long-running operations. Temporal provides robust workflow orchestration with reliability features like retries, timeouts, and failover mechanisms. By connecting these systems:

  • AI assistants gain workflow superpowers - Execute complex business processes, data pipelines, and service orchestrations
  • Temporal workflows become conversational - Trigger and monitor workflows through natural language
  • Enterprise systems become AI-accessible - Expose existing workflow infrastructure to AI assistants without rebuilding
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About the Author

Gonzalo (Glo) Maldonado image

Gonzalo (Glo) Maldonado

Mocksi.ai