r0idamcp is a SSE protocal MCP server IDA pro plugin designed for automatic reverse engineering with LLM assistant
Connect R0idamcp to Claude, Cursor or any other MCP client and it stops being a tab you switch to. r0idamcp is a SSE protocal MCP server IDA pro plugin designed for automatic reverse engineering with LLM assistant. The r0idamcp mcp server is what makes that connection.
r0idamcp is a SSE protocal MCP server IDA pro plugin designed for automatic reverse engineering with LLM assistant
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
check_connection — 确认正在运行Windows — %appdata%\Hex-Rays\IDA Pro\pluginsLinux — ~/.idapro/plugins/macOS — ~/Library/Application Support/IDA Pro/plugins/Installation goes through your MCP client rather than a global install: point it at fastmcp on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. R0idamcp's toolset — check_connection, Windows, Linux and 1 more — is a fair guide to whether it matches your workflow. It is maintained by r0ysue; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against R0idamcp's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| check_connection | 确认正在运行 |
| Windows | %appdata%\Hex-Rays\IDA Pro\plugins |
| Linux | ~/.idapro/plugins/ |
| macOS | ~/Library/Application Support/IDA Pro/plugins/ |
{
"mcpServers": {
"r0idamcp": {
"url": "http://192.168.1.2:26868/sse",
"type": "sse"
}
}
}Configuration as documented by the project. Restart the client after saving.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.