gitlab-mcp-server
Provides integration with GitLab, enabling management of projects, groups, merge requests, and repository code reading via MCP tools.
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., "@gitlab-mcp-serverlist merge requests in my-group/my-project"
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.
mcp-gitlab-server
⚠️ Development Stage Notice
This project is currently in development stage. Features and APIs may change without notice. Use with caution in production environments.
GitLab MCP server based on python-gitlab.
Install
Using Personal Access Token (Most Common)
{
"mcpServers": {
"GitLab": {
"command": "uvx",
"args": [
"gitlab-mcp-server"
],
"env": {
"GITLAB_TOKEN": "<your GitLab personal access token>",
"GITLAB_URL": "https://gitlab.com"
}
}
}
}Using OAuth2 Token
{
"mcpServers": {
"GitLab": {
"command": "uvx",
"args": [
"gitlab-mcp-server"
],
"env": {
"GITLAB_OAUTH_TOKEN": "<your GitLab OAuth2 token>",
"GITLAB_URL": "https://gitlab.com"
}
}
}
}For self-hosted GitLab instances, set GITLAB_URL to your GitLab instance URL (e.g., https://gitlab.example.com). If not set, it defaults to https://gitlab.com.
Authentication
This MCP server supports two authentication methods:
Method 1: Personal Access Token (Recommended for most users)
Create a GitLab Personal Access Token:
Go to GitLab → User Settings → Access Tokens
Create a token with
read_apiscope (minimum required)
Set the
GITLAB_TOKENenvironment variable to your token value
Method 2: OAuth2 Token (For OAuth2 applications)
If you have an OAuth2 token from a GitLab OAuth2 application flow
Set the
GITLAB_OAUTH_TOKENenvironment variable to your OAuth2 token value
To create an OAuth2 application:
Go to GitLab → User Settings → Applications
Create a new application with appropriate scopes (
read_apiminimum)Use the OAuth2 flow to obtain an access token
Use that token as
GITLAB_OAUTH_TOKEN
Environment Variables
GITLAB_TOKEN- Your GitLab Personal Access Token (if using personal token auth)GITLAB_OAUTH_TOKEN- Your GitLab OAuth2 Token (if using OAuth2 auth)GITLAB_URL- GitLab instance URL (defaults tohttps://gitlab.com)
Note: The server will first check for GITLAB_OAUTH_TOKEN, and if not found, will use GITLAB_TOKEN. You only need to set one of these.
Tools
Repository & Project Management
list_projects - List GitLab projects accessible to the authenticated user (supports filtering by owned/starred and pagination)
list_groups - List GitLab groups accessible to the authenticated user
list_group_projects - List all projects within a specific GitLab group
get_user_info - Get information about the authenticated user
search_repositories - Search for GitLab repositories by name, description, or keywords
get_repository_details - Get detailed information about a specific repository
Code Access
read_repository_code - Read the complete code structure and content of a repository with filtering options
read_repository_file - Read the content of a specific file from a repository
Merge Request Analytics
list_merge_requests - List merge requests for a repository with filtering by state, ordering, and pagination
get_merge_request_analytics - Calculate comprehensive merge request lifetime statistics including average time from creation to merge
Repository Code Reading Features
The MCP server provides powerful code reading capabilities:
read_repository_code
Reads the entire repository structure and file contents with advanced filtering:
Selective Reading: Include/exclude files using glob patterns (e.g.,
*.py,*.jsor exclude*.log,node_modules/*)Size Limits: Control maximum files to read and file size limits to prevent overwhelming responses
Branch/Tag Support: Read from any branch, tag, or commit SHA
Directory Filtering: Focus on specific directories within the repository
Smart Filtering: Automatically excludes common build artifacts, logs, and binary files
Example Usage:
Read only Python files:
include_patterns: "*.py"Exclude tests:
exclude_patterns: "*test*,*spec*"Read specific directory:
path: "src/"Different branch:
ref: "develop"
read_repository_file
Reads individual files from a repository:
Single File Access: Get content of specific files quickly
Metadata Included: File size, encoding, last commit info
Binary Detection: Safely handles binary files
Flexible References: Works with branches, tags, or commit SHAs
Limits & Safety:
Default: Max 50 files, 100KB per file
Configurable limits to prevent timeouts
Automatic binary file detection
Graceful error handling for large repositories
Merge Request Analytics Features
The MCP server provides comprehensive merge request analytics capabilities:
list_merge_requests
Lists merge requests with advanced filtering and sorting:
State Filtering: Filter by state (
opened,closed,merged,all)Flexible Sorting: Order by creation date, update date, or title
Rich Metadata: Includes author, assignees, reviewers, labels, and voting info
Pagination Support: Control number of results returned
get_merge_request_analytics
Calculates detailed merge request lifetime statistics:
Lifetime Analysis: Average, median, min/max time from creation to merge
Statistical Distribution: 25th, 75th, and 90th percentile analysis
Time Period Control: Analyze MRs from the last N days (default: 90 days)
Detailed Breakdown: Individual MR details with exact lifetime calculations
Multiple Time Units: Results provided in both hours and days
Example Questions You Can Answer:
"What is the average lifetime of an MR in the acapulco repository?"
"How long do merge requests typically take to get merged?"
"What's the distribution of merge request lifetimes?"
"Which merge requests took the longest to merge?"
Analytics Output:
Average, median, min, max merge times
Percentile analysis (25th, 75th, 90th)
Sample merge requests with individual lifetimes
Complete dataset for further analysis
Development
# Clone the repository
git clone <repo-url>
cd gitlab-mcp-server
# Install dependencies
uv sync
# Run in development mode
uv run python -m mcp_gitlab_serverTesting Configuration
For development and testing purposes, you can use a local wheel file installation:
MCP Configuration for Testing:
{
"mcpServers": {
"GitLab": {
"command": "uvx",
"args": [
"--from", "/path/to/your/gitlab-mcp-server/dist/mcp_gitlab_server-0.1.0-py3-none-any.whl",
"gitlab-mcp-server"
],
"env": {
"GITLAB_TOKEN": "your-gitlab-token-here",
"GITLAB_URL": "https://gitlab.com"
}
}
}
}Build and Test Steps:
# Build the wheel file
uv build
# Test with MCP client (like Claude Desktop)
# Update your MCP configuration with the local wheel path
# The wheel file will be in ./dist/ directory
# For quick testing, verify the server starts:
uv run python -m mcp_gitlab_serverMaintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/kopiloto/mcp-gitlab-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server