Development Tools

An MCP server for generating code types (starting with TypeScript) from YAML specifications, inspired by OpenAPI Generator with a focus on template flexibility.

A VS Code extension that exposes an MCP server to enable AI assistants to perform IDE-powered refactoring, specifically intelligent symbol renaming across workspaces using the Language Server Protocol.

AI-powered browser automation with constitutional safety, AI visual regression, persona testing, and natural language test suites. Modular architecture for visual, testing, analysis, and performance modules.

A specialized MCP server that implements HTTP-based communication using StreamableHTTPServerTransport, featuring session management via SSE and designed to connect local clients to remote Docebo APIs.

foaas-mcp brings the FOAAS (Fuck Off As A Service) API to AI clients, offering 23 tools designed to inject humor and direct feedback into developer workflows, bug reports, and code reviews.

MCP (Model Context Protocol) Server. Provides San Antonio Spurs basketball news by scraping the Pounding The Rock blog, offering tools to retrieve articles, search content, extract game results, and get player information with recent mentions.

A WebAssembly-based MCP server that maps JavaScript error stack traces and minified code positions back to original source code using source maps.

A middleware server that connects AI assistants to PlayFab services, enabling natural language control over game economy, player management, and inventory administration.

A serverless MCP server that provides secure, read-only access to Google Contacts via per-user OAuth 2.1 authentication on AWS Lambda.

Stop copy-pasting terminal errors to ChatGPT/Claude. VibeWatch wraps your dev commands and lets AI assistants see your terminal in real-time via Model Context Protocol (MCP).

MCP (Model Context Protocol) Server. Enables search for Spryker packages and code across GitHub repositories, allowing developers to quickly locate packages by name/description or find specific code examples within the Spryker ecosystem.

A secure web scraping and data extraction server that provides sandboxed access to web content, link extraction, and file downloads without JavaScript execution. It includes built-in protection against prompt injection and path-traversal for safe automated browsing.

Connects AI assistants to product documentation via Biel.ai's hosted RAG layer, enabling context-aware answers for technical queries and API specifications.

The official Scalekit MCP server allows AI agents to manage identity and access operations, including environment configuration, OIDC connections, and organization/user administration via natural language.

A specialized MCP server that integrates with Tencent's ProSearch API (Web Search API) to provide intelligent, high-speed web search capabilities using Sogou's search engine technology.

A specialized MCP server that integrates the TestDino test management platform with AI agents, allowing users to query test results, debug failures, and manage manual test cases through natural language.

Libragen builds private, local RAG (Retrieval-Augmented Generation) libraries from documentation to ground AI assistants in accurate, local data using SQLite.

MCP (Model Context Protocol) Server. Enables AI interaction with GitHub repositories for managing issues, pull requests, code scanning alerts, and file contents through both read-only and read-write operations.

A minimal Model Context Protocol (MCP) implementation built with Node.js and TypeScript. This project demonstrates client–server communication over stdio, structured message handling, and local data access, developed with VS Code and GitHub Copilot to explore modern AI tool integration workflows.

A GitLab MCP server that enables management of merge requests, code reviews, and CI/CD pipelines directly through AI assistants. It provides comprehensive tools for monitoring pipeline test results, retrieving job logs, and participating in code review discussions.

- A Model Context Protocol server implementation that provides RAG capabilities through Qdrant vector database integration, enabling AI agents to perform semantic search and document retrieval with local or cloud-based embedding generation support across Mac, Linux, and Windows platforms.

A comprehensive MCP server for INFINI Easysearch (Elasticsearch/OpenSearch compatible) clusters, offering 121 tools for cluster management, index operations, advanced searching (DSL/SQL/KNN), and lifecycle policies.

- MCP server provides access to Lark Bitable through the Model Context Protocol. It allows users to interact with Bitable tables using predefined tools.

An MCP server for managing Linux system core dumps, allowing users to list, analyze, extract, and generate GDB stack traces from coredumps via systemd-coredump.

A command-line tool designed to simplify the installation and management of MCP servers across multiple AI clients, replacing manual JSON configuration with a streamlined registry and pre-built stacks.

A structured reasoning engine that enables AI models to perform persistent, step-by-step thinking and complex problem decomposition using an SQLite-backed thought chain process.

An enterprise-grade MCP server for SQL databases that enables AI assistants to inspect schemas, execute safe parameterized queries, and monitor performance metrics beginning with MSSQL support.

ContextFS serves as a universal AI memory layer that provides RAG-based context management, semantic code indexing, and graph-backed memory evolution across multiple repositories and AI clients.

MCP (Model Context Protocol) Server. Provides a bridge between Marketo's REST API and form management operations, enabling marketing teams to retrieve, approve, and clone forms without writing API code or switching context.

A Solana-based incentivization protocol designed to reward AI developers for tool creation and knowledge sharing using the Model Context Protocol.