Temporal MCP Server

Overview

The Temporal MCP server acts as a bridge between AI assistants and Temporal workflow orchestration clusters. This integration turns complex backend orchestration into simple, chat-driven commands, allowing developers to interact with workflows entirely through natural language.

Features

• Workflow Lifecycle Management: Start, check status, signal, cancel, and inspect workflows through natural language
• Real-time Querying: Query and signal running workflows in real-time
• Batch Operations: Execute operations across many workflows simultaneously
• Schedule Management: Complete schedule management via cron expressions
• 19 Tools: Comprehensive toolset covering the full Temporal surface area
• Config-Driven: Define accessible workflows in a simple config.yml file

How It Works

The server translates MCP tool calls into Temporal workflow executions. You define which workflows should be accessible in a configuration file, and the server makes them available as tools to any connected MCP client.

Benefits

• Leverage existing workflow infrastructure without custom integration code
• Orchestrate complex, fault-tolerant processes through simple conversation
• Workflow state persists locally and workflows survive crashes
• Coordinate multi-step agent tasks with durable execution

Use Cases

Production environments where companies rely on Temporal for orchestrating agents, multi-step processes, and fault-tolerant workflows.

Supported Clients

GitHub Copilot, Claude, OpenCode, and any MCP-compatible AI assistant.