enterprise -course

This MCP server bundle focuses on an enterprise-grade PR reviewer workflow. It orchestrates multiple MCP servers (GitHub, Slack, Asana, and a central Tool Registry) under a single host to pull context, reason about changes, and post actionable insights back to teams. The main entry point is an enterprise-pr-reviewer setup that connects your code repository, collaboration tools, and internal resources to produce context-rich guidance for pull requests. You can interact with the host to configure which tools are used, how contexts are retrieved, and how results are surfaced to stakeholders via your preferred channels. The included architecture emphasizes modularity, allowing you to replace or scale individual components (e.g., swap in additional data sources or support new messaging platforms) without disrupting the overall workflow.

To use the tools, start the MCP host and the modular servers, then utilize the PR reviewer workflow to analyze a PR. The system can fetch PR data from the GitHub server, pull contextual information from Asana tasks, and summarize findings. It can also publish insights into Slack channels or other notification endpoints, enabling your team to act quickly on recommendations. The Tool Registry centralizes available tools and prompts, so your enterprise can reuse governance-compliant prompts across different workflows and hosts.

Prerequisites

• Docker installed and running
• Access to GitHub, Slack, and Asana if you plan to integrate those services
• Basic knowledge of MCP concepts and your enterprise security requirements

1. Pull the enterprise MCP course container

   • Ensure you have Docker configured with appropriate permissions
   • Run: docker pull decodingai/enterprise-mcp-course:latest

2. Run the MCP host and servers

   • Start the container (from the mcp_config below, which assumes a docker-based run): docker run -i decodingai/enterprise-mcp-course:latest

3. Configure environment variables (optional but recommended)

   • MCP_CONFIG_PATH: Path to a configuration file if you maintain a separate MCP config
   • GITHUB_TOKEN: Personal access token with repo scope if integrating GitHub
   • SLACK_WEBHOOK_URL: Webhook to post results to Slack (or equivalent channel config)
   • ASANA_ACCESS_TOKEN: Access token for Asana if integrating Asana

4. Validate setup

   • Check container logs for startup messages indicating MCP hosts and servers are bound
   • Ensure network routes between GitHub, Slack, and Asana endpoints are reachable

5. Optional: local development

   • If you prefer running components individually, use the dedicated app folders: apps/pr-reviewer-mcp-host apps/pr-reviewer-mcp-servers
   • Follow the per-app README inside those folders for environment setup and running commands.

Tips and common issues:

• Ensure API tokens (GitHub, Slack, Asana) have the minimum required scopes and are stored securely (e.g., via environment variables or a secrets manager).
• The Tool Registry centralizes prompts and tooling; keep it updated with enterprise-approved prompts and ensure access controls are in place.
• For production use, run the MCP components in a container orchestration platform (Kubernetes or Docker Swarm) to manage scaling and reliability.
• If you encounter network timeouts, verify firewall rules and VPN requirements between your host environment and external services.
• Review MCP security considerations for enterprise data, including data retention policies and access auditing.