"A query about Google Chrome or a related Chrome topic" matching MCP servers:

Codebase Q&A agent with git-history awareness. Explore a repo with list_files, read_file, and search, plus git log, blame, and diff and a repo map to answer "why did this change?" questions. Runs locally as an MCP server for Claude Code and other MCP clients.

Zero-dependency stdio MCP server for token-aware prompt version diffs. Compare prompts or files and get machine-readable token delta reports with confidence labels.

Enables querying the latest commit information for any file in the Chromium repository, including commit hash, author, timestamp, message, and modified files through the Gitiles API.

MCP server: is this GitHub repo still maintained? A verdict.

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

A secure and scalable Git MCP server giving AI agents powerful version control for local and (soon) serverless environments.

An MCP server that enables GitHub API operations such as managing repositories, issues, and pull requests through natural language.

. A good description should be concise and describe what the server enables users to do, e.g. * Enables to interact with WordPress sites...' Then a huge block? Actually the user message includes the README content inside tags, then after the readme, there is a large block of text starting with '{

Provides access to GitHub v3 REST API functionality through STDIO mode with FastMCP, enabling users to interact with GitHub resources.

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

Enables asking natural-language questions about any GitHub repository and receiving answers grounded in the actual code, with read-only enforcement and automatic repository fetching.

Enables coding agents to verify whether a GitHub pull request is genuinely ready by checking draft state, conflicts, check results on the head commit, review requirements, merge queue status, and expected commit, returning a verdict with reasons and owners pinned to a commit and timestamp. It reports merged or closed PRs without judging them and never authorizes a merge.

Enables AI assistants to draft content such as PR descriptions, tickets, or messages, with a review window for live preview, editing, and approval before submission.

Provides full read/write access to the GitHub REST API via a single tool using a personal access token.

A code review tool that generates detailed HTML review documents by comparing branches or commits, with author filtering and intelligent analysis.

Enables searching and inspecting GitHub repositories, including topic and trending searches, repo overviews, file browsing, commit history, branches, and side-by-side repo comparisons.

Provides MCP tools to get a single-call snapshot of git and GitHub Actions CI status across all repositories in a folder, flag missing or stale architecture docs, write doc files, and detect release drift between source and release repositories.

MCP server that computes a GitHub repo maintenance/abandonment health score from live GitHub data, providing a 0-100 score and verdict via the check_repo_health tool.

Semantic git queries via MCP. Beyond git log — answer who/what/why about any line, file, or branch with blame, co-change, PR linkage.

Clones a Git repo into a temp directory so MCP clients can search and read files from another repo for context.

Enables natural-language queries about public GitHub repositories, including issues, pull requests, repo metadata, and READMEs, via the GitHub API.

Turns raw GitHub commit history into a categorized, human-readable changelog directly inside Claude or any MCP-compatible client.

Enables AI coding agents to compute a 0-1 diff risk score for the current branch or any pull request, exposing the driving signals, evidence, tier and resulting auto-approve or human-review policy decision. Agents can use it to decide whether a low-blast-radius, AI-reviewed PR is safe to merge automatically while flagging risky changes for a human.

A local MCP server that provides a safe, explicit set of Git operations for version control tasks like status, diff, branching, staging, committing, fetching, merging, and pushing.

Enables AI agents to browse, read, search, blame, and diff files from any branch, tag, or commit in a self-managed GitLab instance without checking anything out or modifying the working tree. Content is served read-only from locally cached git mirrors or your own clones, so no GitLab REST API access is needed.

Enables code-review gating by converting a git diff into a typed verdict with safety probabilities, severity, and recommended actions for auto-merge or human review.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.

Enables AI agents and developers to score npm packages, PyPI packages, and GitHub repositories for maintenance health, producing A–F grades, per-signal details, and plain-language risk lists before adoption. It supports checking individual packages, scanning manifests or lock files for transitive dependencies, and comparing alternatives.

MCP server for creating, versioning, retrieving, and publishing HTML presentations, using git as the source of truth and Google Apps Script for deployment.

Fetches glasz-style spec files (product.md, tech.md, test-plan.md, and INDEX.md) from GitHub repositories, enabling LLMs to answer questions about features, stories, and acceptance criteria without cloning or pasting files.