GitHub Actions MCP Server
Manage CI/CD workflows with GitHub Actions through your AI assistant - trigger runs, check status, and debug failures.
GitHub Actions MCP Server
Manage GitHub Actions workflows directly from your AI assistant.
What it Does
- Workflow Management: List and inspect workflows
- Run Control: Trigger workflow runs and monitor progress
- Job Debugging: View logs and diagnose failed jobs
- Artifact Access: Download and inspect build artifacts
- Secret Management: View and update repository secrets
Installation
# Using npx
npx -y @anthropic-ai/mcp-server-github-actions
# Using Docker
docker run -i --rm -e GITHUB_TOKEN mcp/github-actions
Configuration
{
"mcpServers": {
"github-actions": {
"command": "npx",
"args": ["-y", "@anthropic-ai/mcp-server-github-actions"],
"env": {
"GITHUB_TOKEN": "${GITHUB_TOKEN}"
}
}
}
}
Example Prompts
- "Show me the latest workflow runs for main branch"
- "Why did the CI workflow fail?"
- "Trigger the deployment workflow for staging"
- "Show logs from the test job"
- "List all workflows in this repository"
Required Permissions
repo- Full repository accessworkflow- Update GitHub Actions workflowsactions:read- View workflow runs and jobs
Related Articles
Git MCP Server
Git MCP servers enable AI models to interact with Git version control systems, providing capabilities for repository management, branch operations, commit handling, and collaborative development workflows.
MongoDB MCP Server
MongoDB MCP servers enable AI models to interact with MongoDB databases and MongoDB Atlas, providing capabilities for document operations, aggregation pipelines, cloud database management, and natural language queries.
Filesystem MCP Server
Filesystem MCP servers enable AI models to interact with local file systems, providing capabilities for file operations, directory management, and secure file access within specified boundaries.