# Development Tools

The tutorial guides you on how to deploy both Go and Node MCP servers in VS Code and conduct test development as a client.

An MCP server that integrates the Ubersuggest SEO platform, providing AI-assisted SEO analysis functions for the Cursor IDE, including domain analysis, keyword research, site audit, and traffic estimation.

The MCP Proxy Sidecar is an enhanced JetBrains MCP server with WebSocket monitoring functionality, supporting real - time viewing of tool call situations.

The source code repository for the Galileo documentation project, using Mintlify to build and publish technical documentation, including development container configuration and contribution guidelines.

Pare is a collection of MCP servers that provide structured CLI outputs for AI agents. It converts the outputs of common development tools into reliable, schema-validated JSON data, avoiding the problem of agents parsing fragile terminal text.

An MCP server that provides Autodesk Alias API documentation search functionality for AI assistants, enabling fast retrieval through local indexing and the BM25 algorithm.

The MCP server of Orderly Network provides documentation, SDK patterns, and API information query services for AI assistants, helping developers build perpetual contract trading applications.

An experimental MCP server developed for the Kafka monitoring tool AKHQ, which helps AI assistants connect and assist users in working with AKHQ

A collection of MCP servers based on Deno and TypeScript, providing various extension tools and resources for AI models.

This extension provides one-click configuration for MCP settings in VS Code globally, simplifying the server configuration process.

The Aider MCP Server is a bridge connecting AI assistants and the Aider file - editing tool. Through the standardized Model Context Protocol, it provides functions such as file editing, creation, and code extraction, and supports integration with multiple clients.

This is a Python project template that integrates code inspection and formatting tools such as ruff and black, uses pre-commit to manage hooks, includes the pytest testing framework and coverage plugin, and implements automated testing through Github Actions. It supports the devcontainer development environment and traditional virtual environments.

A TypeScript MCP server that provides reference information for shadcn/ui components

BaseMcpServer is a basic Docker - based MCP server image that provides a standardized Python environment and protocol support for quickly building and deploying MCP services.

A VS Code extension that implements the MCP protocol server, allowing AI clients to directly operate the code editor

The ZeroPath MCP Server is an open-source project that allows developers to query security findings such as SAST issues, secrets, and patches using natural language, and directly integrate them into AI-assisted tools. It simplifies the process of handling security issues, providing security context directly in the development environment without the need for manual dashboard or ticket management.

An MCP protocol server implemented with Node.js, Express, and TypeScript, providing tool, resource, and prompt functions, supporting both command - line and HTTP access methods.

Context7 MCP is a service that provides real - time code documentation for AI programming assistants. It directly obtains the latest library documentation and code examples through the Model Context Protocol, solving the problem of LLM using outdated information. It supports installation in multiple development environments and clients.

A server for securely executing Shell commands based on the MCP protocol, supporting multi-Shell environments and detailed error handling.

The Nia Codebase MCP service provides code understanding and integration functions

An MCP server for command-line execution supporting structured output

This is an MCP server implementation based on the Qdrant vector search engine, providing semantic memory storage and retrieval functions, and supporting integration with multiple AI development tools.

The Feather Code MCP Server is a GitHub integration tool designed for the Claude Desktop, providing 15 GitHub feature tools through the Model Context Protocol (MCP), supporting automatic repository detection, multiple authentication methods, and zero-configuration usage.

An MCP server integrated with Sourcegraph, providing code search and analysis capabilities for LLMs.

ZOD client generation tool for Symbol blockchain API and MCP service configuration example

This project demonstrates how to set up a basic MCP server application, including installing dependencies, building the project, using the MCP inspection tool, and configuring the Claude desktop client to connect to a custom MCP service.

An MCP server that integrates the Perplexity AI search - enhanced language model with the Claude desktop, providing three tools of different complexity levels, suitable for quick queries, technical analysis, and in - depth research scenarios.

Genkit is an open-source framework for building AI-driven applications, providing Node.js and Go libraries, supporting the integration of multiple AI models and vector databases, and including development tools and a plugin ecosystem.

Implementation of the Brev MCP Server, using the API access token of the Brev CLI and the current organization configuration, supporting quick start and development debugging.

A customized MCP server by MiniMax for Coding Plan users, providing AI-driven web search and image analysis tools, optimized specifically for the code development workflow, and can be integrated into MCP clients such as Claude Desktop and Cursor to enhance the programming experience.