Zereight/Gitlab Mcp

Community

makabakaxy

zereight/gitlab-mcp

Manage GitLab repos, MRs, issues, pipelines, deployments, and releases via CLI. Use when user needs to create/search repos, review/merge MRs, manage issues, or run pipelines.

Overview

Publisher	makabakaxy
Repository	`mcp2cli`
Skill name	`zereight/gitlab-mcp`
Stars	66
Forks	5
Bundled files	7
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
7 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by makabakaxy on GitHub. Read the source before you install it.

Installation

Install the Zereight/Gitlab Mcp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/makabakaxy/mcp2cli/tree/main/presets/zereight-gitlab-mcp/2.0.35/skills
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/makabakaxy/mcp2cli/tree/main/presets/zereight-gitlab-mcp/2.0.35/skills

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/makabakaxy/mcp2cli.git /tmp/mcp2cli
mkdir -p .claude/skills
cp -r /tmp/mcp2cli/presets/zereight-gitlab-mcp/2.0.35/skills .claude/skills/makabakaxy-zereight-gitlab-mcp

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Zereight/Gitlab Mcp in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Zereight/Gitlab Mcp on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Zereight/Gitlab Mcp is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

zereight/gitlab-mcp (via mcp2cli)

Manage GitLab projects, merge requests, issues, pipelines, and releases via CLI.

Shortcuts

mcp2cli gitlab <cmd> (server alias)

Commands

Merge Requests

Command	Description	Example	Ref
`mcp2cli gitlab mr create`	Create a new MR	`mcp2cli gitlab mr create --title "Fix bug" --source-branch feature/fix --target-branch main`	ref
`mcp2cli gitlab mr get`	Get MR details	`mcp2cli gitlab mr get --project-id my-group/my-repo --merge-request-iid 42`	ref
`mcp2cli gitlab mr list`	List merge requests	`mcp2cli gitlab mr list --project-id my-group/my-repo`	ref
`mcp2cli gitlab mr update`	Update a merge request		ref
`mcp2cli gitlab mr merge`	Merge a merge request	`mcp2cli gitlab mr merge --project-id my-group/my-repo --merge-request-iid 42`	ref
`mcp2cli gitlab mr diff get`	Get MR full diff		ref
`mcp2cli gitlab mr diff changed-files`	List changed file paths	`mcp2cli gitlab mr diff changed-files --project-id my-group/repo --merge-request-iid 42`	ref
`mcp2cli gitlab mr approval approve`	Approve a merge request		ref

Issues

Command	Description	Example	Ref
`mcp2cli gitlab issue create`	Create a new issue	`mcp2cli gitlab issue create --title "Fix memory leak" --project-id my-group/my-repo`	ref
`mcp2cli gitlab issue get`	Get issue details	`mcp2cli gitlab issue get --project-id my-group/my-repo --issue-iid 10`	ref
`mcp2cli gitlab issue list`	List issues	`mcp2cli gitlab issue list --project-id my-group/my-repo`	ref
`mcp2cli gitlab issue my`	List my assigned issues	`mcp2cli gitlab issue my`	ref
`mcp2cli gitlab issue update`	Update an issue		ref
`mcp2cli gitlab issue delete`	Delete an issue		ref

Repositories & Files

Command	Description	Example	Ref
`mcp2cli gitlab repo search`	Search for projects	`mcp2cli gitlab repo search --search my-project`	ref
`mcp2cli gitlab repo get`	Get project details	`mcp2cli gitlab repo get --project-id my-group/my-repo`	ref
`mcp2cli gitlab repo create`	Create a new project	`mcp2cli gitlab repo create --name my-new-repo --visibility private`	ref
`mcp2cli gitlab repo file get`	Get file contents	`mcp2cli gitlab repo file get --project-id my-group/my-repo --file-path src/main.go`	ref
`mcp2cli gitlab repo file update`	Create or update a file		ref
`mcp2cli gitlab repo tree`	List files/dirs in repo		ref

Pipelines & CI

Command	Description	Example	Ref
`mcp2cli gitlab pipeline list`	List pipelines	`mcp2cli gitlab pipeline list --project-id my-group/my-repo`	ref
`mcp2cli gitlab pipeline get`	Get pipeline details		ref
`mcp2cli gitlab pipeline create`	Trigger a new pipeline		ref
`mcp2cli gitlab pipeline retry`	Retry a pipeline		ref
`mcp2cli gitlab pipeline job output`	Get job log output		ref
`mcp2cli gitlab pipeline job list`	List pipeline jobs		ref

Releases & Other

Command	Description	Ref
`mcp2cli gitlab release create`	Create a release	ref
`mcp2cli gitlab release list`	List releases	ref
`mcp2cli gitlab milestone create`	Create a milestone	ref
`mcp2cli gitlab wiki create`	Create a wiki page	ref
`mcp2cli gitlab deployment list`	List deployments	ref
`mcp2cli gitlab branch create`	Create a branch	ref

Discover Parameters

Append --help to any command for full parameter list:


mcp2cli gitlab mr create --help

Note: Use Ref links in the Commands table above for detailed parameter reference and more examples.

User Notes

MUST READ users/skill.md for custom workflows and tips. Config: MCP server settings live in ~/.agents/mcp2cli/servers.yaml - edit there to take effect.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Zereight/Gitlab Mcp AI skill do?

Manage GitLab repos, MRs, issues, pipelines, deployments, and releases via CLI. Use when user needs to create/search repos, review/merge MRs, manage issues, or run pipelines.

Why use Zereight/Gitlab Mcp on TypingMind?

Because you install it once and use it with any model. Zereight/Gitlab Mcp is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Zereight/Gitlab Mcp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/makabakaxy/mcp2cli/tree/main/presets/zereight-gitlab-mcp/2.0.35/skills. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Zereight/Gitlab Mcp?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Zereight/Gitlab Mcp?

As many as you like. As long as a model supports skills, you can use Zereight/Gitlab Mcp with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Zereight/Gitlab Mcp AI skill free?

Yes. It is published on GitHub by makabakaxy under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Qdrant

NousResearch

OrganizationPopular

Vector search engine for production RAG systems.

Tensorrt Llm

High-throughput LLM inference on NVIDIA GPUs.

Internal Comms

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal…

Claude Opus 4 5 Migration

anthropics

OrganizationPopular

Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5. Use when the user wants to update their codebase, prompts, or API calls to use Opus 4.5. Handles model string…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

zereight/gitlab-mcp (via mcp2cli)

Shortcuts

Commands

Merge Requests

Issues

Repositories & Files

Pipelines & CI

Releases & Other

Discover Parameters

User Notes

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now