@noanswer/context-compose/assets/mcps/github-api.yaml

Orchestrate complex AI interactions with Context Compose. A powerful CLI and server for building, validating, and managing context for large language models using the Model Context Protocol (MCP).

version: 1
kind: mcp
name: github-api
description: GitHub API integration for repository management and automation
prompt: |
  Automate your GitHub workflows using the GitHub API and `gh` CLI.
  Manage repositories, branches, issues, and pull requests programmatically.
  This allows for powerful integrations, custom tooling, and streamlined
  development processes, directly from your command line or scripts.
enhanced-prompt: |
  # 🐙 GitHub API Integration

  ## 1. Authentication
  First, ensure you are authenticated. Your `GITHUB_TOKEN` environment variable should be set for non-interactive use.
  ```bash
  # Check authentication status
  gh auth status
  ```

  ## 2. Common Repository Operations
  **A. View Repository Info**
  ```bash
  gh repo view owner/repo
  ```

  **B. Create a Branch**
  This requires getting the SHA of the base branch first.
  ```bash
  BASE_SHA=$(gh api repos/owner/repo/git/ref/heads/main -q '.object.sha')
  gh api repos/owner/repo/git/refs \
    --method POST \
    -f ref="refs/heads/new-feature" \
    -f sha="$BASE_SHA"
  ```

  ## 3. Issue & PR Management
  **A. Create an Issue**
  ```bash
  gh issue create --title "New Feature Request" --body "Details here."
  ```

  **B. Create a Pull Request**
  ```bash
  gh pr create --title "Feature" --body "Implementation details." --base main
  ```

  ## 4. Automation Best Practices
  - **Scoped Tokens:** Use tokens with the minimum required permissions.
  - **Error Handling:** Check exit codes and API responses for errors.
  - **Rate Limiting:** Be mindful of API rate limits in scripts.
  - **Idempotency:** Design scripts to be safely repeatable.
  - **Logging:** Keep a record of operations for auditing purposes.

  **🎯 Result:** Automated GitHub workflows with improved security and reliability.