Glab mcp

Skill serejaris/kimi-skills/skills/gitlab-cli-skills/glab-mcp

Work with Model Context Protocol (MCP) server for AI assistant integration. Exposes GitLab features as tools for AI assistants (like Claude Code) to interact with projects, issues, merge requests, and pipelines. Use when integrating AI assistants with GitLab or working with MCP servers. Triggers on MCP, Model Context Protocol, AI assistant integration, glab mcp serve.From its SKILL.md

Install

npx -y skills add serejaris/kimi-skills --skill glab-mcp

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SKILL.md

2.8 KB, 373 tokens by cl100k_base, as published. Nobody here has run it

glab mcp

Overview


  Manage Model Context Protocol server features for GitLab integration.                                                 
                                                                                                                        
  The MCP server exposes GitLab features as tools for use by                                                            
  AI assistants (like Claude Code) to interact with GitLab projects, issues,                                            
  merge requests, pipelines, and other resources.                                                                       
                                                                                                                        
  This feature is an experiment and is not ready for production use.                                                    
  It might be unstable or removed at any time.                                                                          
  For more information, see                                                                                             
  https://docs.gitlab.com/policy/development_stages_support/.                                                           
                                                                                                                        
         
  USAGE  
         
    glab mcp <command> [command] [--flags]  
            
  EXAMPLES  
            
    $ glab mcp serve                        
            
  COMMANDS  
            
    serve      Start a MCP server with stdio transport. (EXPERIMENTAL)
         
  FLAGS  
         
    -h --help  Show help for this command.

Quick start

glab mcp --help

v1.86.0 Changes

Auto-enabled JSON output

As of v1.86.0, glab mcp serve automatically enables JSON output format when running — no manual flag needed. This improves parsing reliability for AI assistants consuming the MCP server's tool responses.

Unannotated commands excluded

Commands that lack MCP annotations are no longer registered as MCP tools. This means only explicitly supported commands are exposed to AI assistants, reducing noise and improving reliability. If a GitLab operation you expect isn't available as an MCP tool, it may lack MCP annotations in the current release.

Subcommands

See references/commands.md for full --help output.

What ships with it: 1 file

5.6 KB alongside SKILL.md

references/

commands.md5.6 KB

Gives 0 of the 12 instructions most mcp tooling skills give in 373 tokens

Counted across 638 of the 750 authors here whose files we hold, read 2026-08-07

Create ten complex or independent read-only evaluation questionsin 69 of 638, across 15 files
Test servers using MCP Inspectorin 61 of 638, across 19 files
Provide actionable error messages with specific next stepsin 54 of 638, across 12 files
Prioritize comprehensive API coverage over specific workflows or workflow toolsin 54 of 638, across 12 files
Use TypeScript and Streamable HTTP for remote servers or clientsin 54 of 638, across 8 files
Define structured output schemas where possiblein 50 of 638, across 8 files
Use Zod or Pydantic for input schemasin 47 of 638, across 5 files
Fetch MCP specification pages with markdown suffixin 46 of 638, across 4 files
Load framework documentation using WebFetchin 45 of 638, across 3 files
Verify each evaluation answer independentlyin 45 of 638, across 3 files
Implement API client with authentication and paginationin 45 of 638, across 3 files
Define input schemas with validationin 27 of 638, across 9 files

Said here and by no other author read

run glab mcp with subcommands
view help for the command

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.