Bridge-MCP
Provides tools for Confluence page content retrieval, space navigation, and document search (coming soon).
Provides tools for accessing GitLab projects, merge requests, pipelines, and issues.
Provides tools for searching and retrieving Jira issues, including details, comments, and attachments.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Bridge-MCPshow my assigned Jira issues for this week"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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).
Related MCP server: Personal JIRA MCP
Quick Start
1. Install Dependencies
pip install -r requirements.txt2. 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_tokenGetting 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.pyThis 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.pyThe 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 automaticallyRestart 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 automaticallyRestart 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 correctMake 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 directoryCheck you have Python 3.10+ installed:
python --versionVerify 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.pyImplement 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.pyRegister 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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Maintenance
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