"Website or information about Jina.ai" matching MCP servers:

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

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 MCP clients to answer questions about repositories, issues, pull requests, and recent commits using read-only, schema-validated tools with pagination, retries, rate-limit handling, and caching.

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

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

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.

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

Enables AI assistants to turn local git history into answers about recent activity, file hotspots, change coupling, stale or already-merged branches, contributors, ref comparisons, and drafted release notes. It runs locally over stdio with a git subcommand allowlist, so it is read-only, works offline and without shell access, and is safe to auto-approve.

Enables AI agents to ask read-only questions about a repository's history through GitHub APIs, including blame, path history, merge base, PR association, diffs, and file contents, with aggressive caching and no clone required.

An MCP server that caches your GitHub starred repositories in a local SQLite database and lets you search, list, and retrieve details about them through any MCP client (Claude Desktop, Cursor, VS Code, etc.), with automatic freshness checks via GitHub's ETag mechanism.

MCP server integrating Google Search Console, Google Analytics 4, and GitHub, enabling AI clients to query search analytics, traffic data, and repository information.

MCP server that gives LLMs full visibility into your ws-cli workspace tree, enabling queries about workspaces, git status, tasks, and saved browser tabs.

Enables retrieving comprehensive information about GitLab merge requests, including details, commits, diffs, discussions, approvals, and CI/CD status, through natural language.

Enables AI assistants to answer questions about nixpkgs packages using nixkeeper's public data, covering outdated versions, Hydra build status and failures, update-bot attempts, related PRs and issues, CVEs, and what needs attention for a maintainer or team. It runs locally over stdio, reads only public data, and requires no account or token.

An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.

Provides natural language search capabilities for Spryker GitHub repositories, packages, and public documentation. It enables code-level searches across Spryker organizations to help developers find relevant modules and technical information.

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.

A Model Context Protocol server that integrates Cursor IDE with Bitbucket Cloud, allowing developers to fetch repository information and commit data directly from their Bitbucket workspace.

Enables interaction with the Tembo API to manage organization tasks and view enabled code repositories. Users can create, search, and list tasks or retrieve account information directly through MCP-compatible clients.

Provides tools for accessing, comparing, and analyzing GitHub repository releases with rich formatting and detailed information.

Helps AI read GitHub repository structure and important files. Want to quickly understand what a repo is about? Prompt it with "read https://github.com/adhikasp/mcp-git-ingest and determine how the code technically works".

A Model Context Protocol server that enables integration with GitHub Actions, allowing users to fetch available actions, get detailed information about specific actions, trigger workflow dispatch events, and fetch repository releases.

An MCP server for gitingest. It allows MCP clients like Claude Desktop, Cursor, Cline etc to quickly extract information about Github repositories including repository summaries, project directory structure, file contents, etc

An MCP server that allows Claude and other MCP-compatible LLMs to interact with the GitHub API, supporting features like creating issues, getting repository information, listing issues, and searching repositories.

An MCP server that enables Claude and other compatible LLMs to interact with the GitHub API, supporting features like creating issues, retrieving repository information, listing issues, and searching repositories.

A Model Context Protocol server that enables AI models to interact with GitHub's API, allowing for repository creation and management with descriptions, topics, and website URLs through natural language commands.

Provides tools for interacting with GitHub's API through the MCP protocol, allowing users to create repositories, push content, and retrieve user information.

Provides tools for mapping and analyzing GitHub repositories. It allows users to set a GitHub Personal Access Token and retrieve detailed information about a specified repository, including its structure and summary statistics.

An MCP server that enables integration with GitHub Enterprise API, allowing users to access repository information, manage issues, pull requests, workflows, and other GitHub features through Cursor.

Provides read-only, structured access to Yasin ecosystem information (project registry, documentation, GitHub state, diagnostics) through the MCP protocol, enabling AI agents to query without direct repository access.

Enables MCP clients to search and inspect open-source GitHub repositories, curated topics, similar repositories, and developer or organization rankings with filters for language, country, stars, and activity.

Enables agents to search, read, create, edit, move, delete, and undo notes in an Obsidian vault through ten typed MCP tools, over stdio or streamable HTTP with OAuth.

AI-powered git diff analysis with human-readable explanations, risk flags, and review checklists. Enables to explain any diff text or currently staged git changes through an MCP server.

Enables MCP clients to browse, create, and comment on pull requests, read diffs and files, inspect comments, and approve or withdraw the token owner's approvals. It returns bounded read data and structured errors for uncertain write outcomes.

A Model Context Protocol server that enables AI agents to securely access and interact with GitHub Enterprise data, providing access to enterprise users, organizations, emails, and license information.

A minimal MCP server that enables creating GitHub repositories, committing files, and publishing releases using just a personal access token, without Docker or local Git.

Enables locating evidence for repository questions using CodeGraph or ripgrep, providing verified results and follow-ups.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests through generic API tools for reading, creating, commenting, searching, comparing, and managing resources. It supports natural-language version control workflows using scoped API tokens or app passwords.

Inspects workspace-scoped review findings and hosted runs, and can prepare and, after explicit user confirmation, start or rerun an existing hosted review. It avoids exposing raw diffs, full reports, artifacts, screenshots, credentials, or arbitrary local repository access.