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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
Configuration Needed
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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
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
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Show your MCP trust score in your README
[](https://archestra.ai/mcp-catalog/gethosthewalrus__temporal-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