"Information about WeChat Mini Programs" matching MCP servers:

Connects to WMPFDebugger's CDP WebSocket to enable AI-assisted debugging of Windows WeChat Mini Programs, providing tools for JavaScript evaluation, script inspection, breakpoints, debugger control, and network inspection.

Gives AI assistants a genuine Borland Turbo C 3.0 toolchain via MCP, enabling compile and run of real 16-bit DOS C programs with diagnostics and classic examples.

MCP server for Python build123d to help AIs develop and reason about 3D models and CAD

An MCP server for the Pyxel retro game engine that enables AI models to autonomously run, verify, and iterate on retro game programs. It includes tools for visual verification through screenshots, sprite and layout analysis, and audio rendering.

Enables execution of SAS code on SAS Viya compute environments with OAuth2 authentication. Allows users to run SAS programs and retrieve execution results including logs and output through the Model Context Protocol.

Enables any MCP client to debug programs through the Debug Adapter Protocol, supporting launch/attach, breakpoints, stepping, variable inspection, evaluation, and memory operations via a single debug tool.

MCP server for debugging Brainfuck programs. It provides tools to load code, step through execution, run programs, and inspect state.

Enables coding agents to debug Node.js programs via MCP tools, using Chrome DevTools Protocol for launching, attaching, breakpoints, stepping, variables, and console access.

Enables AI agents to debug C/C++ programs with GDB or LLDB, supporting breakpoints, stepping, variable inspection, and function calls.

MCP server for debugging Node.js programs through the V8 Inspector Protocol, allowing AI agents to set breakpoints, inspect variables, and step through code.

Enables execution of SuperCollider synth code through the Model Context Protocol using supercolliderjs, allowing AI assistants to generate and run audio synthesis programs.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK. Includes example tools for calculations and greetings, plus system information resources.

A TypeScript-based MCP server providing a complete interface to the Delve debugger for Go programs, enabling debugging, tracing, and analyzing Go code through natural language commands.

Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK. Includes example tools like calculator and greeting functions, plus system information resources.

Provides AI-driven development tools including file system operations, multi-language code analysis with tree-sitter, Git operations, code execution, and system information retrieval.

Enables large language models to access user geolocation information through EdgeOne Pages Functions using the Model Context Protocol.

Enables AI assistants to debug .NET programs by launching or attaching to processes, setting breakpoints, stepping through code, inspecting variables, evaluating C# expressions, and handling exceptions, with support for multiple processes and .NET MAUI apps.

Enables AI clients to execute editable-3D design programs, inspect their geometry, and replay or revise native project files through MCP tools.

MCP server to provide Sketch layout information to AI coding agents like Cursor