GitLab Context Provider for AI Review Agents

This implementation is derived and adapted from the Gerrit review utility, tailored specifically for compatibility with the GitLab platform.

An MCP (Model Context Protocol) mechanism designed to bridge large language models (like Claude) with live GitLab development pipelines. It grants AI assistants the capability to analyze, annotate, and interact with MRs programmatically.

Core Capabilities

• Comprehensive MR Examination: Retrieve exhaustive MR metadata: source code deltas, chronological commits, and prior discussions.
• Granular File-Level Analysis: Focus review efforts on patchsets affecting specific source files.
• Version Synchronization: Establish comparisons between arbitrary points in the repository graph (branches, tags, or specific SHAs).
• Feedback Loop Closure: Programmatically issue annotations, apply approvals, or rescind existing sign-offs on merge requests.
• Project Scan: Enumerate all active merge requests within a defined project scope.

Deployment Guide

Prerequisites

• A runtime environment supporting Python version 3.10 or newer.
• A GitLab Personal Access Token possessing read_api and api scopes.
• A compatible AI interface, such as the [Cursor IDE integration] or the [Claude Desktop Application].

Initialization Sequence

1. Repository Cloning:

bash git clone https://github.com/mehmetakinn/gitlab-mcp-code-review.git cd gitlab-mcp-code-review

1. Environment Setup:

bash python -m venv .venv source .venv/bin/activate # Windows users substitute with: .venv\Scripts\activate

1. Dependency Installation:

bash pip install -r requirements.txt

1. Configuration File Creation:

Populate a .env file using .env.example as a template for critical secrets:

Mandated setting

GITLAB_TOKEN=your_provisioned_api_key_here

Optional tuning parameters

GITLAB_HOST=gitlab.com GITLAB_API_VERSION=v4 LOG_LEVEL=INFO

Configurable Parameters

These operational variables can be defined within the .env configuration file:

Parameter	Necessity	Default Value	Purpose
GITLAB_TOKEN	Essential	N/A	Authentication credential for API access.
GITLAB_HOST	Optional	gitlab.com	The base URL of the GitLab instance.
GITLAB_API_VERSION	Optional	v4	Specifies the API dialect to engage.
LOG_LEVEL	Optional	INFO	Verbosity setting (e.g., DEBUG, WARNING, ERROR).
DEBUG	Optional	false	Enables verbose debugging output.
REQUEST_TIMEOUT	Optional	30	Maximum wait time (seconds) for external API calls.
MAX_RETRIES	Optional	3	Count of automatic re-attempts for transient network failures.

Integration Templates

For Cursor IDE

Integrate the following structure into your ~/.cursor/mcp.json file, ensuring path variables are absolute:

{ "mcpServers": { "gitlab-mcp-code-review": { "command": "/path/to/repo/.venv/bin/python", "args": ["/path/to/repo/server.py", "--transport", "stdio"], "cwd": "/path/to/repo", "env": { "PYTHONPATH": "/path/to/repo", "VIRTUAL_ENV": "/path/to/repo/.venv", "PATH": "/path/to/repo/.venv/bin:/usr/local/bin:/usr/bin:/bin" }, "stdio": true } } }

For Claude Desktop Application

Navigate to Settings → Advanced → MCP Configuration and input the identical JSON structure above, substituting /path/to/your/gitlab-mcp-code-review with the actual installation directory.

Exposed API Functions

The server exposes the following functions for agent invocation:

Function Signature	Operation Description
fetch_merge_request	Retrieves all metadata for a specified MR (Project ID, MR IID required).
fetch_merge_request_diff	Extracts the raw code delta associated with an MR.
fetch_commit_diff	Obtains the patchset introduced by a singular commit SHA.
compare_versions	Generates a diff report between any two version references within the repository.
add_merge_request_comment	Posts new human-readable feedback directly onto the MR thread.
approve_merge_request	Marks the MR as officially approved by the agent.
unapprove_merge_request	Revokes a prior approval status.
get_project_merge_requests	Lists all open or closed merge requests for the target project.

Operational Snippets

Retrieving MR Details

python

Query details for MR #5 within Project ID 123

project_data = fetch_merge_request("123", "5")

Analyzing a Single File's Changes

python

Isolate the changes within 'src/core.py' for MR #5

file_delta = fetch_merge_request_diff("123", "5", "src/core.py")

Comparing Release States

python

Determine divergence between 'release-v1.0' and 'main'

version_comparison = compare_versions("123", "release-v1.0", "main")

Submitting Review Feedback

python

Log a positive assessment on the MR

feedback_result = add_merge_request_comment("123", "5", "Excellent implementation; logic flows clearly.")

Formalizing Approval

python

Officially approve the request, optionally specifying required future approvals

approval_status = approve_merge_request("123", "5", approvals_required=1)

Debugging and Support

If execution fails:

1. Confirm the Personal Access Token scope is correct (api, read_api).
2. Validate all entries in the .env file.
3. Ensure the integration paths specified in the MCP JSON configurations are accurate.
4. For deep inspection, temporarily set LOG_LEVEL=DEBUG in your .env.
5. Basic network connectivity check: curl -H "Private-Token: <token>" https://gitlab.com/api/v4/projects

Development Contribution

We welcome external improvements. To contribute:

1. Fork the source repository.
2. Establish a dedicated feature branch (e.g., git checkout -b feature/new-tooling).
3. Commit finalized modifications.
4. Push the branch upstream.
5. Initiate a Pull Request for review.

Detailed contribution guidelines reside in the [CONTRIBUTING.md] document.

Licensing

This software package is distributed under the permissive MIT License (refer to the [LICENSE] file for legal specifics).

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