"AWS instance metadata service endpoint URL" matching MCP servers:

An MCP (Model Context Protocol) server for handling GitHub URLs with validation and parsing capabilities. This server provides tools to convert between GitHub repository information and URLs, with intelligent validation to distinguish between public repositories, private repositories, and non-exist

A modular server that implements the Model Context Protocol standard, providing tools for interacting with GitHub, GitLab, Google Maps, Memory storage, and web automation through a unified gateway.

Provides access to GitHub trending projects through MCP, allowing AI assistants to query popular repositories filtered by language and time range (daily/weekly/monthly).

Enables MCP clients to search GitHub repositories and users, retrieve weather data and forecasts, and access NASA astronomy and image data through modular MCP tools.

Enables AI agents to discover GitHub repositories by expanding intents into multiple keyword queries, searching GitHub's live Search API, and returning deduplicated, ranked candidates with README excerpts and metadata.

A Model Context Protocol server that connects GitHub code to Claude.ai. This server utilizes the Pera1 service to extract code from GitHub repositories and provide better context to Claude.

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

Enables assistants to read Forgejo repositories and manage issues and pull requests directly from the working session, using the caller's own token against any Forgejo instance.

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.

A stateless HTTP MCP service that exposes GitHub organization member management tools (list, view, add, update role, remove members, and manage invitations) as MCP tools consumable by Claude and other MCP clients.

An MCP server providing comprehensive Gitea API coverage with 186 tools for managing repositories, issues, pull requests, and CI/CD workflows. It enables autonomous AI agents to perform complex development and administrative tasks directly through a Gitea instance.

Self-hosted relay where coding-agent sessions on different machines share a team board, message each other and check for git conflicts before a commit or push. Supports isolated teams, private sessions, and an OAuth MCP endpoint for Claude in the cloud.

Provides MCP tools for reading the ant-design GitHub repository (repository info, directory listings, file contents) and for querying US weather alerts and forecasts via the National Weather Service API.

Connects MCP-compatible AI coding agents to self-hosted instances so they can discover projects, repositories, and branches, then create or update pull requests from a local Git context and return the PR number and browser URL. An explicit repository allowlist restricts all repository and pull request reads and writes.

An MCP server for managing Maven dependency versions using direct metadata parsing from Maven Central. It provides tools to fetch latest stable versions, list version history, and compare versions with upgrade recommendations.

Enables retrieval of pull request metadata and diffs from Bitbucket Cloud and Server/Data Center, with optional comment creation.

Enables real-time assessment of GitHub repository health by exposing tools and resources for repository metadata, open issues, recent commits, and GitHub Actions workflow runs, plus prompts for health reports and issue triage.

Integrates with Perforce P4 version control system via Model Context Protocol, providing safe read/write tools for changelists, files, shelves, workspaces, jobs, reviews, and server metadata.

Enables AI agents to interact with GitHub repositories through the GitHub REST API for managing files, issues, and repository metadata. It supports both read operations like searching code and write operations such as creating repositories and updating issue comments.

Connects LLMs to GitHub and GitLab to analyze pull and merge requests for logic, security, and architectural alignment. It provides tools for fetching diffs, file contents, and project metadata, alongside guided prompts for professional code reviews.