"Information about WeChat Mini Programs" matching MCP servers:

Local-first MCP graph intelligence server providing RRF hybrid search, multi-hop traversal, source snippets, and rationale nodes for AI agents, without Docker or web UI.

A Chinese-friendly, locally running MCP server for WeChat Mini Program engineering, helping developers break down ideas into actionable tasks, inspect projects, generate blueprints, and perform security scans.

Enables dynamic reverse engineering and debugging of WeChat MiniProgram JavaScript through the Chrome DevTools Protocol, letting AI agents enumerate and search scripts, set breakpoints, step through paused frames, trace function calls, hook miniprogram APIs such as wx.request, and capture network requests to analyze encryption, signing, and anti-scraping logic. It also works against Chrome, Node.js, and Electron runtimes, with tools for extracting code bundles and page business logic.

MCP server for GeneXus 18 that provides tools to open knowledge bases, list objects, and read object source code.

A WeChat Mini Program decompilation MCP server that enables scanning, decompiling, and analyzing local WeChat mini program packages through MCP clients like Cherry Studio.

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

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.

truth is a deterministic fact-checker for the claims an AI coding agent makes about its own work.

Semantic git queries via MCP. Beyond git log — answer who/what/why about any line, file, or branch with blame, co-change, PR linkage.

Provides structured debugging capabilities through LLDB, enabling AI assistants to set breakpoints, inspect variables, analyze crashes, disassemble code, and evaluate expressions in C/C++ programs.

Extracts deterministic architecture maps from codebases for AI agents, enabling queries about blast radius, routes, security findings, and production readiness without sending code anywhere.

MCP server that migrates SAP Module Pool programs to RAP applications interactively, using AI and SAP ADT REST APIs with human approval at each step.

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.

Enables AI agents to search and retrieve details about Odoo code elements (models, fields, views, etc.) with exact file locations using MCP tools.

Provides coding agents with a compact map of a TypeScript/TSX codebase, enabling direct answers about symbol locations, imports, dependencies, and references while reducing token usage.

A mcp server to allow LLMS gain context about shadcn ui component structure,usage and installation

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 storing and querying structured information about software code entities (classes, functions, files) and their relationships (calls, imports) along with qualitative observations like design decisions and change rationale.

Enables offline-first industrial manufacturing workflows by parsing, linting, and drafting FANUC .LS robot programs and analyzing STEP/STP CAD files through MCP tools.

Provides GDB and clangd-based tools for debugging C++ programs, enabling step execution, variable inspection, diagnostics, and combined runtime-static analysis.