"A tool or feature in GitLab for parsing code" matching MCP servers:

An MCP server that integrates AI assistants like Claude with GitLab's merge requests, allowing them to review code changes, add comments, and approve/unapprove merge requests directly through the GitLab API.

Enables AI assistants to review GitLab merge requests by fetching changes, analyzing diffs, adding comments, and managing approvals through the GitLab API. Supports complete merge request analysis, file-specific reviews, and version comparisons.

Enables AI assistants to review GitLab merge requests by fetching diffs, analyzing code changes, adding comments, and managing approvals through the GitLab API. Supports comprehensive merge request analysis and version comparison for automated code review workflows.

Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Enables evaluation of patent feature-separation results by listing records, checking alignment with claims and original text, and running deterministic quality gates plus a Judge audit.

The Token-Curated GitLab MCP Server: 80%+ Context Window Savings. Every time your agent fetches a pipeline with other servers, it wastes 1,600 tokens of avatar URLs, internal links, and HTML fluff. With @sumirati/mcp-gitlab, that drops from 1,840 to 190 tokens.

Enables humans to review AI-generated code changes through a GUI: agents freeze git diffs and add findings/diagrams, while reviewers annotate and save decisions returned as an exact correction prompt.

MCP server for GitLab that enables AI assistants to manage CI pipelines, job logs, repositories, branches, merge requests, and commits via the GitLab REST API.

First gitlab mcp for you, building together

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Bridges Claude Code CLI with Cursor IDE to use your existing Claude subscription without separate API costs.

Harness-neutral MCP server enabling GitLab repository workflows—merge requests, CI diagnosis, publishing, and variable management—through shared Agent Skills for Codex, Claude Code, Cline, Pi, and ChatGPT.

Enables natural language interactions with GitLab via Claude Code, supporting MR reviews, issue management, pipeline monitoring, and branch comparisons.

A FastMCP server for GitLab 16.x that enables project, MR, pipeline, and commit queries, bugfix contribution summaries, release notes drafts, and comprehensive Runner management.

Enables coordinating multiple AI coding sessions by tracking features, decisions, and approval gates in a per-project Postgres database, with atomic IDs and commit-stamped append-only history.

Facilitates interactive feature discussions with AI guidance, maintaining context and providing intelligent recommendations for implementation, architecture, and best practices in software development.

A production-ready MCP server for GitLab enabling AI assistants to read and manage GitLab projects, merge requests, issues, pipelines, wikis, releases, and more through a unified interface.

Enables agents to synthesize typed MCP tool schemas at runtime, validate Python ASTs for unsafe imports, compile sandboxed callable handlers, and hot-plug them into an active MCP runtime. It provides a zero-dependency, standard-library-only MCP server for safe just-in-time tool creation and execution.