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    Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.
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    MIT
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    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.
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    MIT
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    Enables interacting with GitLab repositories, merge requests, and code through natural language using MCP. Supports authentication with personal access tokens or OAuth2, and provides tools for listing projects, reading repository code, and analyzing merge request lifetimes.
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    MIT
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    A comprehensive integration providing over 46 tools for managing GitLab projects, issues, merge requests, and CI/CD workflows through natural language. It supports repository operations like local cloning and batch actions across groups via stdio, SSE, or HTTP transports.
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    MIT
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    A TypeScript MCP server that provides integration with GitLab's REST API, allowing users to interact with GitLab projects, issues, merge requests, pipelines, and more through natural language.
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    MIT
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    A Model Context Protocol server that enables AI assistants to interact with self-hosted GitLab instances through 30 specialized tools. It supports managing projects, merge requests, CI/CD pipelines, and repository operations via the GitLab REST API v4.
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    MIT
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    Governed CI/CD operations for self-hosted GitLab and Gitea — pipeline-failure, runner, artifact-bloat, and stale-branch RCA, with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.
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    MIT
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    Enables reading and writing Zendesk tickets, including searching, fetching comments, posting replies and internal notes, setting ticket status, assigning tickets, logging time, and formatting tickets as Markdown issue drafts for handoff to GitLab, GitHub, or Jira.
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    Apache 2.0
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    The GitKraken MCP Server turns your AI assistant into a context-aware development partner by connecting it to git history, branches, issues, pull requests, and multi-repo workflows through GitKraken. It works with all the providers you would expect from the GitKraken software suite such as GitHub, GitLab, Azure DevOps, Bitbucket, Jira, and more.
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    MIT
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    Enables issue-to-code automation for GitHub and GitLab by connecting AI assistants (Claude Code, Gemini CLI, Codex) via MCP, with slash commands for issue analysis, planning, implementation, testing, documentation, and PR creation.
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