Implement complete Hootsuite MCP server with rate limiting, retry logic, and comprehensive testing

[Copilot]

Repository had only stub files with no MCP server implementation. Built production-ready server with async HTTP client, configuration management, and test coverage.

Core Implementation

• MCP Server (229 lines): 5 tools exposing Hootsuite API operations (create_post, get_social_profiles, get_posts, delete_post, get_analytics)
• HTTP Client (288 lines): Async httpx client with token bucket rate limiter (100 req/min), exponential backoff retry (3 attempts), OAuth + API key auth
• Configuration (78 lines): Pydantic Settings with environment variable loading and credential validation

from hootsuite_mcp import HootsuiteMCPServer

# Initialize with env vars or explicit settings
server = HootsuiteMCPServer()
await server.run()  # Exposes 5 MCP tools via stdio

Testing & Automation

• 12 unit tests (487 lines): Mock-based tests for config validation, rate limiter, HTTP client, and MCP server handlers
• CI/CD workflows: Python 3.8-3.12 across Ubuntu/Windows/macOS with ruff linting and coverage reporting
• Validation script: Automated checks for file presence, syntax, and component structure

Documentation

• Developer guide with architecture and setup instructions
• Implementation details covering rate limiting algorithm and error handling
• Configuration template with all available options
• Updated README with quickstart examples

Security

• Zero hardcoded credentials (env vars only)
• Explicit minimal permissions in GitHub Actions workflows (CodeQL verified)
• Input validation on all tool parameters
• Rate limiting prevents API abuse

Stats: 19 files changed, 2,238 lines added (1,301 Python code)

Original prompt

Analyze and review entire mcp code and find/fix bugs and issues , make sure the mcp server code works, add github actions to test until it's successful

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