Enterprise MCP Course
Learn to build from scratch an AI PR reviewer integrated with GitHub, Slack and Asana that scales within your organization.
What is Enterprise MCP Course?
Enterprise MCP Course is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to learn to build from scratch an ai pr reviewer integrated with github, slack and asana that scales within your organization.
Learn to build from scratch an AI PR reviewer integrated with GitHub, Slack and Asana that scales within your organization.
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Learn to build from scratch an AI PR reviewer integrated wit
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx enterprise-mcp-courseConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Enterprise MCP Course
Enterprise MCP Course is an open-source Python project and tutorial series by Decoding AI that teaches you to build production-grade AI automation systems using the Model Context Protocol. The flagship use case is a Pull Request Reviewer that integrates GitHub, Slack, and Asana: it analyzes PRs, pulls context from project management tools, and posts actionable insights to team channels. The series covers building custom MCP servers for internal tools, connecting to remote MCP servers, creating a centralized Tool Registry, and designing a custom MCP Host to orchestrate multi-tool workflows at scale.
Prerequisites
- Python 3.10 or higher (intermediate level recommended)
- GitHub account and personal access token for the GitHub MCP integration
- Slack workspace and bot token for Slack MCP server
- Asana account and API key for Asana MCP server
- Basic understanding of REST APIs and LLM concepts
Clone the repository
Clone the enterprise-mcp-course repository to get the full codebase including the MCP host, servers, and Tool Registry.
git clone https://github.com/decodingai-magazine/enterprise-mcp-course.git
cd enterprise-mcp-courseReview the repository structure
The project is organized into two main apps: the PR reviewer MCP host/client and the modular MCP servers for GitHub, Slack, Asana, and the Tool Registry.
# apps/pr-reviewer-mcp-host/ - Custom MCP host and client
# apps/pr-reviewer-mcp-servers/ - Modular servers + Tool RegistryFollow the MCP servers setup guide
Navigate to apps/pr-reviewer-mcp-servers and follow the README inside. Install dependencies and configure API keys for GitHub, Slack, and Asana.
cd apps/pr-reviewer-mcp-servers
pip install -r requirements.txt
# Configure .env with GITHUB_TOKEN, SLACK_BOT_TOKEN, ASANA_API_KEYSet up the MCP host
Navigate to apps/pr-reviewer-mcp-host and install its dependencies. The host orchestrates calls across all registered MCP servers.
cd apps/pr-reviewer-mcp-host
pip install -r requirements.txtRun the PR Reviewer workflow
Start the MCP host and trigger the PR review workflow. The host connects to the Tool Registry and routes tasks to the appropriate MCP servers.
python -m pr_reviewer_mcp_hostEnterprise MCP Course Examples
Client configuration
Example claude_desktop_config.json for connecting to the local enterprise MCP servers built in this course.
{
"mcpServers": {
"enterprise-tool-registry": {
"command": "python",
"args": ["-m", "tool_registry"],
"cwd": "/path/to/enterprise-mcp-course/apps/pr-reviewer-mcp-servers",
"env": {
"GITHUB_TOKEN": "your_github_token",
"SLACK_BOT_TOKEN": "your_slack_bot_token",
"ASANA_API_KEY": "your_asana_api_key"
}
}
}
}Prompts to try
Prompts targeting the PR reviewer workflow and the enterprise MCP tool integrations.
- "Review pull request #42 in my-org/my-repo and post a summary to the #engineering Slack channel"
- "Fetch all open PRs in my GitHub repo and list them with their review status"
- "Create an Asana task for the issues found in PR #15 and assign it to the reviewer"
- "Summarize the changes in this PR and check if any security-sensitive files were modified"
- "Post the PR review summary to the #code-review Slack channel with action items"Troubleshooting Enterprise MCP Course
GitHub API returns 401 Unauthorized
Ensure your GITHUB_TOKEN has the correct scopes: repo (for private repos) or public_repo (for public repos). Generate a new token at github.com/settings/tokens if needed.
Slack messages are not being posted
Verify your SLACK_BOT_TOKEN is from a Slack App with chat:write permission, and that the bot has been invited to the target channel. Check the Slack App management console at api.slack.com/apps.
MCP host cannot find the Tool Registry server
Ensure all MCP server processes are running before starting the host. Check that the server addresses in the host's configuration file match the actual ports the servers are listening on.
Frequently Asked Questions about Enterprise MCP Course
What is Enterprise MCP Course?
Enterprise MCP Course is a Model Context Protocol (MCP) server that learn to build from scratch an ai pr reviewer integrated with github, slack and asana that scales within your organization. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Enterprise MCP Course?
Follow the installation instructions on the Enterprise MCP Course GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Enterprise MCP Course?
Enterprise MCP Course works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Enterprise MCP Course free to use?
Yes, Enterprise MCP Course is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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