Google Antigravity Directory

The #1 directory for Google Antigravity prompts, rules, workflows & MCP servers. Optimized for Gemini 3 agentic development.

Resources

PromptsMCP ServersAntigravity RulesGEMINI.md GuideBest Practices

Company

Submit PromptAntigravityAI.directory

Popular Prompts

Next.js 14 App RouterReact TypeScriptTypeScript AdvancedFastAPI GuideDocker Best Practices

Legal

Privacy PolicyTerms of ServiceContact Us
Featured on FazierVerified on Verified ToolsFeatured on WayfindioAntigravity AI - Featured on Startup FameFeatured on Wired BusinessFeatured on Twelve ToolsListed on Turbo0Featured on findly.toolsFeatured on Aura++That App ShowFeatured on FazierVerified on Verified ToolsFeatured on WayfindioAntigravity AI - Featured on Startup FameFeatured on Wired BusinessFeatured on Twelve ToolsListed on Turbo0Featured on findly.toolsFeatured on Aura++That App Show

© 2026 Antigravity AI Directory. All rights reserved.

The #1 directory for Google Antigravity IDE

This website is not affiliated with, endorsed by, or associated with Google LLC. "Google" and "Gemini" are trademarks of Google LLC.

Antigravity AI Directory
PromptsMCPBest PracticesUse CasesLearn
Home
MCP Servers
GitLab CI/CD MCP Server
gitlab

GitLab CI/CD MCP Server MCP Server

MCP server for GitLab API integration

gitlabci-cdpipelinesdevops

About

## GitLab CI/CD MCP Server: Complete DevOps Platform Integration The **GitLab CI/CD MCP Server** integrates GitLab's DevOps platform into Google Antigravity, enabling developers to manage pipelines, jobs, artifacts, and deployments across the complete software development lifecycle. ### Why GitLab CI/CD MCP? - **Pipeline management** - Trigger and monitor CI/CD pipelines - **Job control** - Manage individual jobs and artifacts - **Environment deployments** - Track and manage deployment environments - **Merge requests** - Automate MR workflows and approvals - **Registry integration** - Manage container and package registries ### Key Features #### 1. Pipeline Management ```python # Trigger pipeline pipeline = await mcp.call("gitlab-ci", "create_pipeline", { "project_id": 123, "ref": "main", "variables": [ {"key": "DEPLOY_ENV", "value": "staging"} ] }) print(f"Pipeline #{pipeline[\"id\"]} created") # Get pipeline status status = await mcp.call("gitlab-ci", "get_pipeline", { "project_id": 123, "pipeline_id": pipeline["id"] }) print(f"Status: {status[\"status\"]}") ``` #### 2. Job Operations ```python # List pipeline jobs jobs = await mcp.call("gitlab-ci", "list_jobs", { "project_id": 123, "pipeline_id": pipeline["id"] }) for job in jobs: print(f"{job[\"name\"]}: {job[\"status\"]}") # Retry failed job await mcp.call("gitlab-ci", "retry_job", { "project_id": 123, "job_id": jobs[0]["id"] }) # Get job logs logs = await mcp.call("gitlab-ci", "get_job_log", { "project_id": 123, "job_id": jobs[0]["id"] }) ``` #### 3. Environment Deployments ```python # List environments environments = await mcp.call("gitlab-ci", "list_environments", { "project_id": 123, "states": "available" }) for env in environments: print(f"{env[\"name\"]}: {env[\"last_deployment\"][\"status\"]}") # Stop environment await mcp.call("gitlab-ci", "stop_environment", { "project_id": 123, "environment_id": environments[0]["id"] }) ``` #### 4. Merge Request Pipelines ```python # Get MR pipelines mr_pipelines = await mcp.call("gitlab-ci", "list_mr_pipelines", { "project_id": 123, "merge_request_iid": 45 }) # Approve MR await mcp.call("gitlab-ci", "approve_mr", { "project_id": 123, "merge_request_iid": 45 }) # Merge when pipeline succeeds await mcp.call("gitlab-ci", "merge_mr", { "project_id": 123, "merge_request_iid": 45, "merge_when_pipeline_succeeds": True }) ``` ### Configuration ```json { "mcpServers": { "gitlab-ci": { "command": "npx", "args": ["-y", "@anthropic/mcp-gitlab-ci"], "env": { "GITLAB_URL": "https://gitlab.com", "GITLAB_TOKEN": "glpat-xxx" } } } } ``` ### Use Cases **Pipeline Automation**: Trigger and monitor pipelines programmatically. **Deployment Management**: Track and control environment deployments. **MR Workflows**: Automate merge request approvals and merges. **Job Debugging**: Access job logs and retry failed jobs. The GitLab CI/CD MCP Server enables complete DevOps automation.

Installation

Configuration
{
  "mcpServers": {
    "gitlab-ci": {
      "mcpServers": {
        "gitlab-ci": {
          "env": {
            "GITLAB_URL": "https://gitlab.com",
            "GITLAB_TOKEN": "YOUR_PRIVATE_TOKEN"
          },
          "args": [
            "-y",
            "gitlab-mcp-server"
          ],
          "command": "npx"
        }
      }
    }
  }
}

How to Use

  1. 1Generate private access token in GitLab
  2. 2Configure GitLab instance URL
  3. 3Supports pipelines and merge requests

Related MCP Servers

🧰

Toolhouse MCP

Universal AI tool platform that equips your AI with production-ready capabilities. Execute code, browse the web, manage files, send emails, and more through a unified MCP interface.

🔨

Smithery Registry MCP

The MCP server registry and discovery platform. Browse, search, and install MCP servers from the community. Find the perfect integrations for your AI development workflow.

🔍

MCP Inspector

Official debugging and testing tool for MCP servers. Inspect server capabilities, test tool calls, validate responses, and debug protocol communication in real-time.

← Back to All MCP Servers