gitlab-ci-mcp

gitlab-ci-mcp

MCP server for GitLab CI/CD — pipelines, jobs, schedules, branches, tags, merge requests and repository files. Works with any GitLab (SaaS gitlab.com or self-hosted) via python-gitlab.

Category
访问服务器

README

gitlab-ci-mcp

<!-- mcp-name: io.github.mshegolev/gitlab-ci-mcp -->

PyPI Python License: MIT Downloads

MCP server for GitLab CI/CD. Lets an LLM agent (Claude Code, Cursor, OpenCode, DevX Agent, etc.) work with pipelines, jobs, schedules, branches, tags, merge requests and repository files.

Python, FastMCP, stdio transport.

Works with any GitLab — SaaS gitlab.com or self-hosted / on-prem. Designed with corporate networks in mind: configurable NO_PROXY handling, optional SSL-verify toggle, per-project scoping via env vars.

Design highlights

  • Tool annotations — every tool carries readOnlyHint / destructiveHint / idempotentHint / openWorldHint so MCP clients can classify operations (e.g. ask for confirmation only on destructive ones like gitlab_merge_mr, gitlab_delete_schedule).
  • Structured output on every tool — each tool declares a TypedDict return type, so FastMCP auto-generates an outputSchema and every result carries structuredContent alongside a pre-rendered markdown text block. Clients that can render structured data use it; agents that prefer compact text get the markdown. No response_format parameter needed.
  • Structured errors — authentication, 404, 403, 429 (rate-limit), 5xx, missing-env errors are converted to actionable ToolError messages (e.g. "GitLab authentication failed… verify GITLAB_TOKEN has api scope") and surfaced as isError=True results.
  • Pydantic input validation — every argument has typed constraints (ranges, lengths, literals) auto-exposed as JSON Schema.
  • Project scoping per call — every tool accepts an optional project_path that overrides GITLAB_PROJECT_PATH for cross-project queries.
  • Pagination — list tools return a pagination block with page, total, has_more, next_page and a next-page hint in the markdown footer.
  • MCP Context integrationgitlab_pipeline_health and gitlab_get_job_log are async and emit info logs / report_progress events through the MCP Context so clients can show progress bars.
  • MCP Resourcesgitlab://project/info and gitlab://project/ci-config mirror common lookups for clients that prefer the Resource model over tools.
  • Lifespan managementpython-gitlab HTTP sessions are closed cleanly on server shutdown via an asynccontextmanager lifespan hook.
  • Log grepgitlab_get_job_log accepts grep_pattern + grep_context (surrounding lines) for regex-filtering megabyte-scale CI logs without pulling the whole trace into agent context.

Threading model

FastMCP automatically runs synchronous tools in a worker thread (anyio.to_thread.run_sync), so they do not block the asyncio event loop — python-gitlab is a synchronous library and wrapping every call in asyncio.to_thread ourselves would be ceremony. Tools that benefit from the MCP Context (progress, info logs) are written as async def and explicitly wrap python-gitlab calls with asyncio.to_thread.

Features

23 tools covering the everyday CI/CD surface:

Pipelines gitlab_list_pipelines · gitlab_get_pipeline · gitlab_get_pipeline_jobs · gitlab_get_job_log · gitlab_trigger_pipeline · gitlab_retry_pipeline · gitlab_cancel_pipeline · gitlab_pipeline_health

Schedules gitlab_list_schedules · gitlab_create_schedule · gitlab_update_schedule · gitlab_delete_schedule

Branches & tags gitlab_list_branches · gitlab_list_tags · gitlab_compare_branches

Merge requests gitlab_list_merge_requests · gitlab_get_merge_request · gitlab_get_merge_request_changes · gitlab_create_merge_request · gitlab_merge_mr

Repository & project gitlab_get_file · gitlab_list_repository_tree · gitlab_project_info

Pipeline health report

gitlab_pipeline_health returns a ready-to-read summary over 7/30 days:

Last 7d:  96.4%  up   | 27/28 success
Last 30d: 92.1%       | 105/114 success
Last 10:  success success success failed success ...

Handy for on-call / triage: покажи health master за последние 7 дней.

Installation

Requires Python 3.10+.

# via uvx (recommended)
uvx --from gitlab-ci-mcp gitlab-ci-mcp

# or via pip/pipx
pipx install gitlab-ci-mcp

Configuration

All config is via environment variables:

Variable Required Description
GITLAB_URL yes Base URL, e.g. https://gitlab.example.com
GITLAB_TOKEN yes Personal Access Token with api scope
GITLAB_PROJECT_PATH yes Default project, e.g. my-org/my-repo
GITLAB_SSL_VERIFY no true (default) / false
GITLAB_NO_PROXY_DOMAINS no Comma-separated domains to add to NO_PROXY (useful in corp networks behind a local HTTP proxy — e.g. .corp.example.com,gitlab.internal)

Every tool accepts an optional project_path arg that overrides GITLAB_PROJECT_PATH per call — useful for cross-project queries.

Claude Code

Full walkthrough: docs/claude-code.md — prerequisites, two install paths, multi-project setup, self-hosted GitLab behind a corp proxy, troubleshooting, uninstall.

Short version:

claude mcp add gitlab uvx --from gitlab-ci-mcp gitlab-ci-mcp \
  --env GITLAB_URL=https://gitlab.example.com \
  --env GITLAB_TOKEN=glpat-xxxxxx \
  --env GITLAB_PROJECT_PATH=my-org/my-repo

Or in ~/.claude.json / project .mcp.json:

{
  "mcpServers": {
    "gitlab": {
      "type": "stdio",
      "command": "uvx",
      "args": ["--from", "gitlab-ci-mcp", "gitlab-ci-mcp"],
      "env": {
        "GITLAB_URL": "https://gitlab.example.com",
        "GITLAB_TOKEN": "${GITLAB_TOKEN}",
        "GITLAB_PROJECT_PATH": "my-org/my-repo",
        "GITLAB_SSL_VERIFY": "true"
      }
    }
  }
}

Check:

claude mcp list
# gitlab: uvx --from gitlab-ci-mcp gitlab-ci-mcp - ✓ Connected

Cursor / OpenCode / DevX Agent

Same idea — point the MCP config to uvx --from gitlab-ci-mcp gitlab-ci-mcp with the env vars above. See each tool's own MCP config syntax.

Example prompts

что сломалось в последнем pipeline master
покажи health master за 7 дней для проекта my-org/other-repo
создай MR из feature/foo в master с title "feat: foo"
покажи содержимое .gitlab-ci.yml из master

Rate limits & connection reuse

GitLab enforces a per-user rate limit (typically 2000 req/h for the REST API, configurable by the admin — see your instance's /admin/application_settings/network).

  • The server caches one python-gitlab HTTP session per project_path, so repeated tool calls against the same project reuse the connection and do not re-authenticate each time.
  • List tools default to per_page=20 to keep a single call within a small number of API requests.
  • If you hit a 429 Too Many Requests, the error handler returns an actionable message — wait and try again with larger per_page or fewer calls.

Self-hosted GitLab behind a corporate proxy

When your laptop has a local HTTP proxy (e.g. http://127.0.0.1:3128 for corp web access) but GitLab is on the intranet, the proxy intercepts and kills internal requests. Two options:

  1. Set GITLAB_NO_PROXY_DOMAINS — the server will add them to NO_PROXY at startup and clear HTTP_PROXY/HTTPS_PROXY from its own process so they don't affect GitLab traffic.
  2. Pass explicitly empty HTTP_PROXY="" etc. in the MCP env section.

Development

git clone https://github.com/mshegolev/gitlab-ci-mcp
cd gitlab-ci-mcp
python -m venv .venv && . .venv/bin/activate
pip install -e '.[dev]'
pytest

Run the server directly (stdio transport, waits on stdin for MCP messages):

GITLAB_URL=... GITLAB_TOKEN=... GITLAB_PROJECT_PATH=... gitlab-ci-mcp

License

MIT — see LICENSE.

Acknowledgements

Built on python-gitlab and the MCP Python SDK.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选