Skip to main content
Glama

gitlab_summarize_pipeline

Summarize CI/CD pipeline results to identify failed jobs, error messages, and performance issues for debugging with AI assistance.

Instructions

Summarize CI/CD pipeline for AI Returns: Pipeline status and key findings Use when: Debugging CI failures with AI Focus: Failed jobs, error messages, duration

Highlights:

  • Failed job names and stages

  • Error excerpts

  • Performance issues

Related tools:

  • gitlab_list_pipelines: Find pipelines

  • gitlab_get_pipeline_job_log: Full logs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoProject identifier (auto-detected if not provided) Type: integer OR string Format: numeric ID or 'namespace/project' Optional: Yes - auto-detects from current git repository Examples: - 12345 (numeric ID) - 'gitlab-org/gitlab' (namespace/project path) - 'my-group/my-subgroup/my-project' (nested groups) Note: If in a git repo with GitLab remote, this can be omitted
pipeline_idYesPipeline ID Type: integer Format: Numeric pipeline identifier Example: 12345 How to find: From pipeline URLs or gitlab_list_pipelines response
max_lengthNoMaximum summary length Type: integer Range: 100-5000 Default: 500 Examples: - 300: Very concise summary - 500: Standard summary - 1000: Detailed summary Use case: Control output size for LLM context

Tool Definition Quality

Score is being calculated. Check back soon.

Install Server

Other Tools

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/Vijay-Duke/mcp-gitlab'

If you have feedback or need assistance with the MCP directory API, please join our Discord server