The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.

A fully functional MCP server that offers 73 tools covering 11 modules including file system, diagnostics, scripts, time management, network, context, Git operations, user input, version control, clipboard, and text conversion.

The Authentik MCP Server project provides a complete API integration and diagnostic monitoring service implemented in Python and Node.js, including full-feature CRUD operations and a read-only diagnostic mode, designed specifically for integration with MCP protocol tools.

The MCP Language Server project aims to provide development assistance tools such as accurate symbol definition, reference lookup, and diagnostic information for large code projects by integrating the features of the Language Server Protocol (LSP), addressing the limitations of LLMs when handling complex code.

A comprehensive toolkit for installing and configuring Claude Desktop and the MCP server on the Windows system, including diagnostic tools, installation scripts, and configuration templates, to solve common Node.js path and connection problems.

gopls-mcp is an MCP server project that integrates the Go language server (gopls) with MCP-compatible hosts (such as Claude Code and VS Code). It provides 14 Go development tools, including code navigation, diagnostic analysis, and code assistance, and supports simultaneous operation of multiple workspaces.

An MCP service implementation based on the ONOS controller, providing network control and management functions, supporting access to more than 30 resources such as devices, topologies, and flow tables through REST APIs, including 9 types of diagnostic configuration prompts and more than 20 network management tools, suitable for SDN teaching, research, and prototype development.

A network diagnostic server based on the Model Context Protocol (MCP) that provides network analysis tools for AI agents, including connectivity testing, batch operations, obtaining local network information, packet capture analysis, etc. It supports security control and structured data output.