What is the CERN GitLab MCP Server?

It's an MCP (Model Context Protocol) server designed to connect Large Language Models (LLMs) to CERN GitLab. Its primary purpose is to help discover high-energy physics (HEP) code, documentation, and analysis examples.

How can I install and configure the CERN GitLab MCP Server?

For quick use, you can run it directly with `uvx cerngitlab-mcp` without installation. Alternatively, you can install it via PyPI (`pip install cerngitlab-mcp`). Configuration is managed through environment variables like `CERNGITLAB_TOKEN` for authentication or `CERNGITLAB_GITLAB_URL`.

Is authentication required to use the CERN GitLab MCP Server?

No, it works without authentication for public repositories, offering broad public access to HEP code. However, a personal access token is optional for accessing internal/private projects, specific code searches, and wiki pages.

How does this tool cater to High-Energy Physics (HEP) specific needs?

It is HEP-focused with specialized features like dependency parsing for Python and C++ ecosystems, binary detection for `.root` files, and tools tailored to navigate and understand the context of CERN GitLab projects relevant to high-energy physics.

What functionalities does it offer for discovering information?

The server provides 14 MCP tools for searching, browsing, and analyzing CERN GitLab repositories. This includes searching for code and repositories, retrieving file content, analyzing dependencies (Python/C++), accessing CI/CD configurations, listing releases, and more.

CERN GitLab

Name: CERN GitLab
Author: MohamedElashri

byMohamedElashri

•

Herramientas para Desarrolladores

Aprendizaje y Documentación

Ciencia de Datos y ML

Connects Large Language Models to CERN GitLab for discovering high-energy physics code, documentation, and analysis examples.

CERN GitLab

byMohamedElashri

•

Herramientas para Desarrolladores

Aprendizaje y Documentación

Ciencia de Datos y ML

Connects Large Language Models to CERN GitLab for discovering high-energy physics code, documentation, and analysis examples.

Acerca de

This tool serves as an MCP server, enabling AI assistants and LLMs to interact seamlessly with CERN GitLab. It provides 14 specialized MCP tools for searching, browsing, and analyzing repositories, making it easier to discover critical high-energy physics (HEP) code, documentation, and analysis examples. Designed with HEP needs in mind, it includes features like dependency parsing for Python and C++ ecosystems and binary detection for `.root` files, ensuring comprehensive and robust access to research data.

Características Principales

0 GitHub stars
Robust with features like rate limiting, retries, and graceful error handling
Works without authentication for public repositories, offering public access
Configurable via environment variables for GitLab URL, tokens, timeouts, and logging
14 MCP tools for searching, browsing, and analyzing CERN GitLab repositories
HEP-focused with dependency parsing for Python/C++ and binary detection for .root files

Casos de Uso

Find code examples, track releases, and explore CI/CD configurations within HEP projects.
Understand project structure, dependencies, and documentation for specific CERN GitLab repositories.
Discover high-energy physics repositories by keywords, topics, or language.

Acerca de

Características Principales

0 GitHub stars
Robust with features like rate limiting, retries, and graceful error handling
Works without authentication for public repositories, offering public access
Configurable via environment variables for GitLab URL, tokens, timeouts, and logging
14 MCP tools for searching, browsing, and analyzing CERN GitLab repositories
HEP-focused with dependency parsing for Python/C++ and binary detection for .root files

Casos de Uso

Find code examples, track releases, and explore CI/CD configurations within HEP projects.
Understand project structure, dependencies, and documentation for specific CERN GitLab repositories.
Discover high-energy physics repositories by keywords, topics, or language.