ofershap/mcp-server-github-actions
by Various
MCP server for GitHub Actions — view runs, read logs, re-run jobs, trigger workflows
MCP
ofershap/mcp-server-github-actions
Added 1 June 2026
Overview
This tool is a server that implements the Model Context Protocol to interface with GitHub Actions. It allows viewing workflow runs, reading logs, re-running jobs, and triggering workflows. Built in TypeScript.
Best for
Best for
Developers wanting to integrate GitHub Actions monitoring and control into MCP-capable tools
Use cases
- Viewing workflow run status and logs
- Re-running failed jobs from a command-line tool
- Triggering workflows from external applications
How to use
Install
npx mcp-server-github-actions Tools exposed
list_workflowslist_runsget_runget_run_logsrerun_workflowrerun_failed_jobscancel_runlist_artifactstrigger_workflow
Tested with
Claude Desktop, Cursor, VS Code
Notes
This tool is a server that implements the Model Context Protocol to interface with GitHub Actions. It allows viewing workflow runs, reading logs, re-running jobs, and triggering workflows. Built in TypeScript.
3 stars on GitHub. Last updated 2026-03-10. Licensed MIT.
Use cases
- Viewing workflow run status and logs
- Re-running failed jobs from a command-line tool
- Triggering workflows from external applications
Pros
- Provides direct access to GitHub Actions via a standard protocol
- Simple interface for common CI/CD operations
- TypeScript codebase for easy contribution and extension
Cons
- Limited community adoption (3 stars) may indicate immaturity or minimal testing
- Dependent on the MCP ecosystem being stable and supported
- Lacks advanced features like workflow creation or complex debugging out of the box
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides direct access to GitHub Actions via a standard protocol
- Simple interface for common CI/CD operations
- TypeScript codebase for easy contribution and extension
Cons
- Limited community adoption (3 stars) may indicate immaturity or minimal testing
- Dependent on the MCP ecosystem being stable and supported
- Lacks advanced features like workflow creation or complex debugging out of the box
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