Bridge-MCP

A unified Model Context Protocol (MCP) server that provides seamless integration with enterprise tools including Jira, GitLab, and Confluence. Access your project management, code repositories, and documentation from a single interface.

What Does It Do?

Bridge-MCP connects AI assistants (Claude, GitHub Copilot) to your enterprise tools:

• Jira: Search issues, view details, get comments and attachments
• GitLab: Browse projects, merge requests, pipelines, and issues
• Confluence: Coming soon

Works with private/VPN instances (like FortiClient).

Quick Start

1. Install Dependencies

pip install -r requirements.txt

2. Configure Your Credentials

Create a .env file in the project root:

# Jira (Optional)
JIRA_URL=https://your-jira-instance.com
JIRA_PERSONAL_ACCESS_TOKEN=your_jira_token

# GitLab (Optional)
GITLAB_URL=https://your-gitlab-instance.com
GITLAB_PERSONAL_ACCESS_TOKEN=your_gitlab_token

Getting Your Tokens:

• Jira: Settings > Personal Access Tokens
• GitLab: User Settings > Access Tokens (needs api, read_api, read_repository scopes)

Note: Configure only the services you want to use. Both are optional.

3. Verify Your Setup

Run the configuration checker to ensure everything is set up correctly:

python check_config.py

This will verify:

• ✓ Python version and dependencies
• ✓ Environment variables are set correctly
• ✓ Which services will be enabled
• ✓ File structure is correct

If you see "✓ Configuration looks good!", you're ready to proceed.

4. Verify the Server Works (Optional)

You can optionally verify the server starts correctly:

python src/bridge_mcp_server.py

The server will start and you should see:

INFO - Initializing Bridge-MCP services...
INFO - ✓ Jira service enabled
INFO - ✓ GitLab service enabled
INFO - Bridge-MCP initialized with 2/3 service(s) enabled
INFO - Bridge-MCP Server starting...

Press Ctrl+C to stop. This is just for verification - your AI assistant will automatically start/stop the server when needed. You don't need to keep it running.

5. Connect to Your AI Assistant

Now configure your AI assistant to use Bridge-MCP.

Choose your AI assistant below:

Setup for Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "bridge-mcp": {
      "command": "python",
      "args": ["/FULL/PATH/TO/bridge-mcp/src/bridge_mcp_server.py"]
    }
  }
}

Important:

• Replace /FULL/PATH/TO/bridge-mcp with your actual path (e.g., /Users/yourname/bridge-mcp)
• The server will read credentials from your .env file automatically
• Restart Claude Desktop after saving

That's it! Claude will now have access to your Jira and GitLab data.

Setup for GitHub Copilot (JetBrains)

Edit ~/.config/github-copilot/intellij/mcp.json:

{
  "servers": {
    "bridge-mcp": {
      "type": "stdio",
      "command": "/Users/YOUR_USERNAME/Bridge-MCP/.venv/bin/python3",
      "args": [
        "/Users/YOUR_USERNAME/Bridge-MCP/src/bridge_mcp_server.py"
      ],
      "env": {
        "JIRA_URL": "https://your-jira-instance.com",
        "JIRA_PERSONAL_ACCESS_TOKEN": "${env:JIRA_PERSONAL_ACCESS_TOKEN}",
        "JIRA_VERIFY_SSL": "true",
        "GITLAB_URL": "https://gitlab.com",
        "GITLAB_PERSONAL_ACCESS_TOKEN": "${env:GITLAB_PERSONAL_ACCESS_TOKEN}",
        "CONFLUENCE_URL": "https://your-confluence-instance.com",
        "CONFLUENCE_API_TOKEN": "${env:CONFLUENCE_API_TOKEN}",
        "CONFLUENCE_USERNAME": "${env:CONFLUENCE_USERNAME}"
      }
    }
  }
}

Important:

• Replace /FULL/PATH/TO/bridge-mcp with your actual path (e.g., /Users/yourname/bridge-mcp)
• The server will read credentials from your .env file automatically
• Restart your IDE after saving

Available Tools

Jira Tools

1. get_jira_issue — Get detailed information about a specific issue
2. search_jira_issues — Search issues using JQL queries
3. get_issue_comments — Retrieve all comments on an issue
4. get_issue_attachments — List all attachments metadata
5. get_issue_media — Download and display inline images from issues

GitLab Tools

1. get_gitlab_project — Get detailed information about a project by ID or path
2. list_gitlab_projects — List and search accessible projects
3. get_merge_request — Get detailed information about a specific merge request
4. list_merge_requests — List merge requests for a project (opened, closed, merged, or all)
5. list_pipelines — List CI/CD pipelines for a project with status filtering
6. get_pipeline — Get detailed information about a specific pipeline including jobs
7. list_gitlab_issues — List issues for a GitLab project
8. get_gitlab_issue — Get detailed information about a specific GitLab issue

Confluence Tools (Coming Soon)

• Page content retrieval
• Space navigation
• Document search

Troubleshooting

"Connection failed" or "401 Unauthorized"

• Check your VPN is connected (for private instances)
• Verify your tokens in .env are correct
• Make sure you can access Jira/GitLab in your browser

"SSL Certificate Error" Add to your .env:

JIRA_VERIFY_SSL=false
GITLAB_VERIFY_SSL=false

"No tools available"

• Ensure .env file exists in the bridge-mcp directory
• Check you have Python 3.10+ installed: python --version
• Verify dependencies are installed: pip install -r requirements.txt

For detailed tool documentation, see TOOLS.md

Extending Bridge-MCP

Want to add support for another service? The modular architecture makes it easy!

Adding a New Service

1. Create service module: src/services/your_service.py
2. Implement three functions:
   • init_your_service_client() - Initialize the client
   • get_your_service_tools() - Return list of Tool definitions
   • handle_your_service_tool_call() - Handle tool executions
3. Import in main server: Add imports to src/bridge_mcp_server.py
4. Register in server: Add initialization and routing in main server

See existing service modules (e.g., services/jira_service.py) as templates.

Contributing

Contributions are welcome! Please feel free to submit pull requests for:

• Bug fixes
• New features
• Documentation improvements
• Additional service integrations

License

MIT