Enables code execution and testing on x86_64 architectures, specifically supporting AMD processors.
Provides support for running and testing code on Apple Silicon (ARM64) architectures.
Supports code execution across multiple ARM architectures, including ARM64 and ARM32.
Enables code execution and testing on x86_64 architectures, specifically supporting Intel processors.
Allows for code execution and testing environments targeting Raspberry Pi hardware.
Provides tools for the simulation and execution of code on RISC-V 64 architectures.
Supports the generation and execution of Rust code across various hardware architectures.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@RespCode MCP ServerGenerate a Fibonacci function in Rust and run it on ARM64"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
RespCode MCP Server
Multi-architecture code execution for Claude Desktop via MCP.
Installation
pip install respcode-mcpSetup
Get your API key at respcode.com
Configure Claude Desktop (
~/.config/claude/claude_desktop_config.json):
{
"mcpServers": {
"respcode": {
"command": "respcode-mcp",
"env": {
"RESPCODE_API_KEY": "your-api-key-here"
}
}
}
}Restart Claude Desktop
Available Tools
Tool | Description | Credits |
| AI generates & executes code | 2-6 |
| Run your own code | 1 |
| Compare 4 AI models | ~15 |
| Models refine each other | ~12 |
| Best-of-4 selection | ~15 |
| View past prompts | 0 |
| Check balance | 0 |
Architectures
x86_64 (Intel/AMD)
ARM64 (Apple Silicon, Raspberry Pi)
RISC-V 64
ARM32
Verilog/VHDL simulation
Example Usage in Claude
"Generate a fibonacci function in Rust and run it on ARM64"
"Compare all 4 AI models writing quicksort in C"
"Execute this code on RISC-V: print('Hello RISC-V')"
Links
Website: https://respcode.com
Resources
Looking for Admin?
Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.