Hosted MCP Server for GitHub

Set Up Your GitHub Environment

Authenticate with GitHub

1. Access FlowHunt: Log in to your FlowHunt.io dashboard .

2. Navigate to Integrations: Find the “Integrations” section in the left sidebar.

   

3. Select GitHub: Click on the GitHub integration option to begin the setup process.

4. Choose Profile: You will be redirected to a profile selection tab where you can choose between a personal or company profile.

   

5.Select Repository Access: Decide whether the MCP should have access to all your repositories or just a specific repository.

6. Log In: Sign in with your GitHub account to authenticate and grant FlowHunt access to your GitHub data.

💡 Pro Tip: Ensure you select the appropriate repository access scope based on your automation needs. Store any authentication credentials securely and avoid sharing them publicly.

Deploy the GitHub MCP Server

Add the MCP Server

1. Navigate to MCP Servers: Go to the “MCP Servers” tab in your FlowHunt dashboard.

2. Add New Server: Click “Add New MCP Server”.

3. Select GitHub: Choose “GitHub MCP Server” from the available options.

4. Configure Server Tools: Select the tools you want to enable for your MCP server.

   

   MCP INTEGRATION

   The following tools are available as part of the GitHub MCP integration:

   github_get_repo

   Get detailed information about a GitHub repository including stats, settings, and metadata.

   github_list_repos

   List repositories for the authenticated user, a specific user, or organization.

   github_create_repo

   Create a new GitHub repository with specified settings.

   github_fork_repo

   Fork an existing GitHub repository to your account or organization.

   github_delete_repo

   Delete a GitHub repository. This action cannot be undone.

   github_get_file

   Get file contents from a GitHub repository.

   github_create_file

   Create a new file in a GitHub repository.

   github_update_file

   Update an existing file in a GitHub repository.

   github_delete_file

   Delete a file from a GitHub repository.

   github_list_issues

   List issues in a GitHub repository with optional filters.

   github_create_issue

   Create a new issue in a GitHub repository.

   github_update_issue

   Update an existing issue in a GitHub repository.

   github_add_issue_comment

   Add a comment to an existing issue.

   github_list_prs

   List pull requests in a GitHub repository with optional filters.

   github_create_pr

   Create a new pull request in a GitHub repository.

   github_merge_pr

   Merge a pull request in a GitHub repository.

   github_list_workflows

   List GitHub Actions workflows in a repository.

   github_trigger_workflow

   Trigger a GitHub Actions workflow dispatch event.

   github_get_workflow_runs

   Get workflow runs for a repository or specific workflow.

   github_search_repos

   Search for GitHub repositories using a query.

   github_search_issues

   Search for GitHub issues and pull requests using a query.

   github_search_code

   Search for code across GitHub repositories.

   github_create_branch

   Create a new branch in a GitHub repository.

📝 Note: You can modify or add tools later based on your evolving automation needs.

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Connect MCP Server to Client

Configure the MCP Client

1. Access MCP Tab: Navigate to the “MCP” tab in your FlowHunt Dashboard.
2. Choose Client: Select your preferred MCP server:
   • (List of the created MCP servers)

     

3. Navigate to Connect Tab: Copy the JSON Configuration.

{
  "mcp": {
    "transport": "streamable_http",
    "url": "https://mcp.flowhunt.io/••••••••"
  }
}

Create AI-Powered Workflows

Option A: Quick Start with Preconfigured Flow

Best for: Getting started quickly with proven automation patterns

1. Generate Flow: In your MCP Server configuration, click “Create Preconfigured Flow”.

2. Select Template: Choose “AI Agent with MCP” to create a ready-to-use workflow.

   

3. Customize Logic: Use FlowHunt’s visual flow builder to tailor the automation:

   • Set up event creation for automated meeting scheduling.
   • Configure automatic event updates for schedule changes.
   • Implement event searches for quick calendar lookups.
   • Create automated reminders for upcoming events.

4. Activate: Save and activate your flow to begin automated operations.

Option B: Custom Integration

Best for: Specific automation requirements or existing workflow enhancement

1. Create/Edit Flow: Open FlowHunt’s flow builder and start with a new or existing flow.
2. Add MCP Component: Drag the “MCP Server Component” onto your canvas.
3. Configure Connection: Paste your MCP client configuration:

{
  "mcp": {
    "transport": "streamable_http",
    "url": "https://mcp.flowhunt.io/••••••••"
  }
}

4. Design Workflow: Create custom logic that leverages the MCP server tools:

   • List calendar events for schedule analysis.
   • Create events for automated task scheduling.
   • Update event details based on external triggers.
   • Delete outdated events to keep calendars clean.

   

5. Deploy: Save your configuration and activate the flow.

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List of Prompts

Here are practical examples demonstrating how to use the GitHub MCP Server with your AI agents. These prompts showcase real-world software development and collaboration scenarios:

Repository Management

List all repositories in my organization and show me which ones were updated in the last week

Create a new private repository called 'customer-analytics-dashboard' with a README and MIT license

Get detailed information about the 'frontend-app' repository including star count, open issues, and primary language

Fork the repository 'openai/chatgpt-api-demo' to my personal account

Code Management

Get the contents of the 'config/database.yml' file from the main branch of my production-app repository

Create a new file called 'CONTRIBUTING.md' in the docs folder with our contribution guidelines

Update the README.md file in the main branch to add the new installation instructions

Issue Tracking and Bug Management

List all open issues in the 'mobile-app' repository that are labeled as 'bug' and 'high-priority'

Create a new issue in the 'api-service' repository titled 'Add rate limiting to authentication endpoint' with detailed requirements

Update issue #234 to add the 'in-progress' label and assign it to @developer-jane

Add a comment to issue #456 explaining the proposed solution and requesting code review

Pull Request Workflows

List all open pull requests in the 'backend-services' repository that need review

Create a pull request from the 'feature/user-authentication' branch to main with title 'Implement OAuth 2.0 authentication'

Merge pull request #789 in the 'frontend-app' repository after all checks have passed

CI/CD and Automation

List all GitHub Actions workflows in the 'deployment-pipeline' repository

Trigger the 'deploy-to-staging' workflow for the main branch

Get the status of the last 5 workflow runs for the 'test-suite' workflow

Code Search and Discovery

Search GitHub for repositories containing 'machine learning' that are written in Python and have more than 1000 stars

Search for all open issues across my repositories that mention 'security vulnerability'

Search the codebase for all occurrences of the deprecated 'oldAuthMethod' function

Branch Management

Create a new branch called 'hotfix/payment-processing-error' from the main branch in the 'ecommerce-platform' repository

These prompts demonstrate how GitHub MCP integration enables streamlined development workflows, from repository management and code collaboration to automated deployments and issue tracking.

Conclusion

Integrating GitHub MCP Server with FlowHunt.io creates a powerful foundation for intelligent development automation. Whether you’re streamlining repository management, automating issue tracking, or enhancing pull request workflows, this integration empowers your AI agents to work seamlessly with your critical GitHub data.

Start with a simple automation and gradually expand your workflows as you become more comfortable with the platform. The combination of GitHub’s robust development capabilities and FlowHunt’s AI-driven automation will transform how you manage your code and collaborations.

Ready to get started? Begin your integration today and unlock the full potential of AI-powered development automation!