Bridge-MCP
Unified MCP server that integrates Jira, GitLab, and Confluence for AI assistants to access project management, code repositories, and documentation from a single interface.
README
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_repositoryscopes)
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-mcpwith your actual path (e.g.,/Users/yourname/bridge-mcp) - The server will read credentials from your
.envfile 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-mcpwith your actual path (e.g.,/Users/yourname/bridge-mcp) - The server will read credentials from your
.envfile automatically - Restart your IDE after saving
Available Tools
Jira Tools
- get_jira_issue — Get detailed information about a specific issue
- search_jira_issues — Search issues using JQL queries
- get_issue_comments — Retrieve all comments on an issue
- get_issue_attachments — List all attachments metadata
- get_issue_media — Download and display inline images from issues
GitLab Tools
- get_gitlab_project — Get detailed information about a project by ID or path
- list_gitlab_projects — List and search accessible projects
- get_merge_request — Get detailed information about a specific merge request
- list_merge_requests — List merge requests for a project (opened, closed, merged, or all)
- list_pipelines — List CI/CD pipelines for a project with status filtering
- get_pipeline — Get detailed information about a specific pipeline including jobs
- list_gitlab_issues — List issues for a GitLab project
- 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
.envare 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
.envfile 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
- Create service module:
src/services/your_service.py - Implement three functions:
init_your_service_client()- Initialize the clientget_your_service_tools()- Return list of Tool definitionshandle_your_service_tool_call()- Handle tool executions
- Import in main server: Add imports to
src/bridge_mcp_server.py - 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
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