"Projects that showcase advanced GitHub repository search techniques" matching MCP servers:

Enables AI assistants to interact with Zoho Projects for managing projects, tasks, issues, milestones, users, and performing searches. Supports comprehensive project management operations through natural language with automatic OAuth token handling.

A bridge that enables controlling Unity Editor through natural language commands via AI assistants, allowing users to create materials, build projects, manage scenes, and configure settings without manual interaction.

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.

Enables comprehensive control of Korean Hangul (HWP) documents with 59 features including document manipulation, text editing, formatting, table operations, PDF export, and advanced automation capabilities like template filling and document structure analysis.

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.

An enhanced Model Context Protocol server providing comprehensive integration between Trello and Cursor AI with 40+ tools covering multiple Trello API categories for complete project management.

Enables AI agents to interact with GitHub through OAuth-authenticated operations including starting authorization flows, listing repositories, and creating issues using stored access tokens.

Job search mechanics for an AI assistant: search Arbeitnow/Adzuna/JSearch, fetch a single job posting, render a CV to PDF, lint it against your own configurable anti-fabrication rules, and log the outcome to your application registry. Never auto-applies.

A Python MCP server that allows programmatic interaction to find torrents programmatically on ThePirateBay, Nyaa and YggTorrent.

An enterprise-grade MCP server that integrates AI agents with Google Sheets and Apps Script using over 100 specialized tools for automation and data analysis. It features a self-healing architecture with advanced security and observability for production-ready workflows.

An MCP server that turns CI failures, pull requests, security alerts, and Slack threads into Linear issues, Slack posts, changelogs, docs, and reports with evidence attached, through 25 agent-run workflows over 59 tools spanning GitHub, Linear, Slack, Notion, Google Docs, Google Calendar, Google Sheets, Firecrawl, and Tavily. It also handles credential setup in the OS keychain and pauses for approval before any create, send, change, or delete call.

Enables agents to query and manage project tasks across multiple backends such as Jira, Asana, Monday, ClickUp, Smartsheet, Microsoft Project, and Trello through unified MCP tools, with a built-in mock mode for testing.

An MCP server that enables users to search for movie and TV show resources across multiple sources and validate video link playability. It supports both STDIO and SSE transport modes for seamless integration with AI applications.

Enables comprehensive control of Hangul (HWP) documents through an MCP server, supporting operations from basic document management to advanced formatting, tables, images, and document structure manipulation.

Enables AI assistants to search YouTube videos with rich metadata including titles, channels, view counts, and duration. Supports multi-language search and is designed for remote deployment on the Dedalus platform.

Enables AI assistants to interact with PingOne Advanced Identity Cloud environments through natural language, supporting user management, authentication theme customization, log analysis, and identity data queries with secure OAuth 2.0 authentication.

MCP server for searching images with Google

A Python MCP server that allows programmatic interaction to find torrents programmatically on YggTorrent and La Cale.

Enables users to search Airbnb listings with advanced filtering options and retrieve detailed property information through an MCP server interface.

Enables AI models to create and manage GitHub repositories, branches, and files directly through a personal access token. This Docker-friendly server facilitates repository administration and content updates without requiring a local clone.

Enables AI coding assistants to inspect and operate Make workflows, including scenario deployment and data store management, through natural language.

Enables control of macOS apps like Messages, Notes, Contacts, Mail, Reminders, Calendar, and Maps through natural language commands.

An MCP server that wraps around the GitHub CLI tool, allowing AI assistants to interact with GitHub repositories through commands for pull requests, issues, and repository operations.

Provides a comprehensive API wrapper for GitHub operations through a FastMCP-based server, simplifying repository management, pull requests, issues, and other GitHub interactions with secure authentication.

A protocol server enabling AI agents to control astrophotography equipment through the N.I.N.A. (Nighttime Imaging 'N' Astronomy) software, allowing for natural language command processing of cameras, mounts, focusers, and other astronomy equipment.

Enables automated GitHub login through browser automation using Playwright. Provides MCP tools for programmatic authentication to GitHub accounts with credential management.

A simple task management server that enables users to add, list, complete, and delete tasks through natural language interactions in Claude Desktop.

Enables searching for AI/ML internships and entry-level positions across multiple job sites including LinkedIn, Indeed, Glassdoor, ZipRecruiter, and Monster. Automatically filters for Python proficiency and relevant AI/ML skills while providing structured job data with application URLs and detailed requirements.

Gives an AI assistant full control of a real Telegram user account over MTProto, enabling it to read chats, search history, send and manage messages, and dynamically create new tools as needed.

Exposes the entire job-search workflow as 13 chat-driven tools, letting users refresh a ranked feed of live postings from employers' public hiring APIs, view and score job descriptions, tailor and render truthful one-page LaTeX resumes, review skill gaps and screening answers, and log applications. It keeps a human in the loop, since nothing is ever submitted automatically.