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.
An MCP server that enables natural language search capabilities for Spryker packages and code across GitHub repositories, allowing users to find Spryker modules and documentation using conversational queries.
Enables LLMs to perform advanced GitHub code searches with intelligent filtering and content retrieval using Playwright automation, optimized for DeepSeek integration.
A Model Context Protocol server that provides tools for searching private GitHub repositories, enabling access to repository files, commit history, and issues with automatic handling of rate limiting and error handling.
Enables LLMs to search and read files in local and GitHub repositories, analyze pull request diffs, and grep code content with built-in security protections.
Enables searching and exploring GitHub repositories with tools for cloning repos, searching code with regex, browsing directory structures, reading files, and extracting code outlines.
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.
MCP server for creating, versioning, retrieving, and publishing HTML presentations, using git as the source of truth and Google Apps Script for deployment.
MCP server for GitHub code retrieval and reuse, using SQLite+FTS5 indexing and search history to enable search-first, requirements-refined code search from GitHub repositories.
Enables generating conventional-commit–grouped release notes and CHANGELOG.md drafts from a local repository's git log between tags or commits, plus grouping commits by type. Reads only local git history via an MCP client such as Cursor or Claude Desktop.
Enables code search across indexed repositories using regex patterns, with pagination, repository listing, and file context retrieval via Hound integration.
MCP server for AI-native L1 support: triages tickets, answers from a knowledge base, escalates to L2 via Telegram/GitHub, and manages feedback, with a LangGraph workflow and safety guardrails.
Provides MCP tools to query, compare, and analyze network device configurations managed by Oxidized, such as listing devices, viewing backup status, and generating diffs between configuration versions.
MCP server integrating Google Search Console, Google Analytics 4, and GitHub, enabling AI clients to query search analytics, traffic data, and repository information.