Can the GitLab Agent manage pipelines and wikis?

Yes, beyond standard repository and issue management, the GitLab Agent offers dedicated tools for managing pipelines (listing, getting, creating, retrying, canceling jobs) and GitLab wikis (listing, creating, updating, deleting pages), which can be enabled via environment variables.

Which AI frameworks and LLMs are compatible with the GitLab Agent?

The GitLab Agent is specifically developed for compatibility with modern AI frameworks like Pydantic and large language models (LLMs) such as Google Gemini, addressing common integration challenges.

How many GitLab operations can AI agents perform using this tool?

It provides an extensive toolset of over 60 distinct GitLab operations, allowing AI agents to manage virtually all aspects of GitLab, including CRUD operations on merge requests, files, issues, pipelines, and more.

Does the GitLab Agent ensure reliable interactions with improved validation?

Yes, a key feature is its improved validation for tool inputs, properties, and JSON schemas. This ensures more reliable and error-free interactions when AI agents execute GitLab operations.

MCP Market

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GitLab Agent

Name: GitLab Agent
Author: eshan1347

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Provides an MCP server for AI agents to interact with GitLab, offering extensive tools for repository, issue, merge request, and pipeline management.

About

This tool serves as an MCP (Multi-tool Communication Protocol) server, specifically designed for AI agents, such as those built with Pydantic AI and integrated with LLMs like Google Gemini. It resolves compatibility issues found in other GitLab MCP servers by providing a robust wrapper around the `gitlab-mcp` library. It grants AI agents access to a comprehensive suite of over 60 tools for performing CRUD operations across various GitLab resources, including merge requests, files, repositories, branches, notes, issues, namespaces, projects, labels, commits, and events.

Key Features

Provides improved validation for tool inputs, properties, and JSON schemas
Offers an extensive toolset of over 60 GitLab operations for agents
Compatible with modern AI frameworks like Pydantic and Google Gemini
2 GitHub stars

Use Cases

Integrating Large Language Models (LLMs) with GitLab for tasks like code review or project updates
Developing custom AI agents that interact programmatically with GitLab repositories and projects
Automating GitLab workflows via AI agents (e.g., creating/merging merge requests, managing issues)