Temporal MCP

GethosTheWalrus/temporal-mcp

🕒 Updated:Jan 13, 2025, 12:00 AM

Python

Cloud

MCP server that enables AI assistants to manage Temporal workflow orchestration through a standardized interface, supporting workflow execution, control, batch operations, and schedule management.

MCP Trust Score

Based on our comprehensive evaluation criteria

🤖 Evaluated by manualFix

Trust Score65/100

• Basic MCP protocol features implemented (12/40)
• Room for improvement in GitHub community
• Optimal dependency management (20/20)
• Room for improvement in deployment maturity
• Documentation (8/8)
• Archestra MCP Trust score badge is missing

GitHub Metrics

Repository statistics and activity

⭐ GitHub Stars:0

👥 Contributors:1

📋 Total Issues:0

📦 Has Releases:No

🔧 Has CI/CD Pipeline:No

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MCP Protocol Support

Implemented MCP protocol features

🤖 Evaluated by manualFix

Tools:✓

Prompts:✗

Resources:✗

Sampling:✗

Roots:✗

Logging:✗

STDIO Transport:✓

HTTP Transport:✗

OAuth2 Auth:✗

Dependencies

2 dependencies

Libraries and frameworks used by this MCP server

🤖 Evaluated by manualFix

Main

temporalio

mcp

README.md

Temporal MCP Server

A Model Context Protocol (MCP) server that provides tools for interacting with Temporal workflow orchestration. It enables AI assistants and other MCP clients to manage Temporal workflows, schedules, and workflow executions.

Features

Workflow execution management and monitoring
Workflow control operations (query, signal, cancel, terminate)
Batch operations on multiple workflows
Schedule management with cron expression support
Event history retrieval and workflow state inspection

Environment Variables

TEMPORAL_HOST: Temporal server address (default: localhost:7233)
TEMPORAL_NAMESPACE: Temporal namespace (default: default)
TEMPORAL_TLS_ENABLED: Enable TLS for secure connections

Resources

GitHub Repository

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README.md