# RespCode MCP Server

> Use this tool when you need to generate and execute code across multiple architectures, such as x86_64, ARM, and RISC-V, and compare outputs from different AI models. It solves problems related to cross-platform code development, hardware simulation, and AI model validation. The tool takes in code inputs and provides execution outputs, allowing for seamless testing and comparison of results within a unified environment.

Canonical page: https://skillsregistry.net/skills/respcodeai-respcode-mcp  
JSON: https://api.skillsregistry.net/v1/skills/respcodeai-respcode-mcp

## Description

Enables multi-architecture code generation and execution across platforms including x86_64, ARM, and RISC-V directly within Claude. It allows users to run code, compare outputs from multiple AI models, and perform hardware simulations for Verilog and VHDL.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/quqa6rfjp6)
- **Repository:** <https://github.com/RespCodeAI/respcode-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "respcodeai-respcode-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/respcodeai-respcode-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/respcodeai-respcode-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt