IDAMCP
Enables AI tools to execute IDA Python code inside IDA Pro for reverse engineering tasks via MCP over SSE.
README
IDAMCP
IDA Pro plugin that exposes IDA Python execution via MCP (Model Context Protocol) over SSE. This allows AI tools like Claude Code to interact with IDA Pro for reverse engineering tasks.
How It Works
IDAMCP runs an MCP server inside IDA Pro that provides an execute_script tool. AI clients send IDA Python code through MCP, which gets executed on IDA's main thread. Results (stdout, stderr, return values) are sent back to the client.
AI Client (Claude Code, etc.)
│
│ MCP over SSE
▼
IDAMCP Server (127.0.0.1:13337)
│
│ ida_kernwin.execute_sync
▼
IDA Pro Main Thread
Requirements
- IDA Pro 9.0+
- Python 3.12+
- uv
Installation
git clone https://github.com/won0-kim/idamcp.git
cd idamcp
uv sync
Install the plugin into IDA's plugins directory:
python install.py
To specify a custom IDA installation path:
python install.py --ida-dir "C:\Path\To\IDA"
To uninstall:
python install.py --uninstall
Usage
- Open IDA Pro — the MCP server starts automatically on
http://127.0.0.1:13337/mcp - Toggle the server on/off with Ctrl+Shift+M
- Connect your MCP client to the server
MCP Client Configuration
Add to your MCP client config (e.g., .mcp.json):
{
"mcpServers": {
"idamcp": {
"type": "http",
"url": "http://127.0.0.1:13337/mcp"
}
}
}
execute_script Tool
The server exposes a single execute_script tool. Send IDA Python code as a string. Assign to __result__ to return a specific value.
# List first 5 functions
import idautils
__result__ = list(idautils.Functions())[:5]
# Get function name at address
import idc
__result__ = idc.get_func_name(0x401000)
Development
uv sync --all-extras
uv run pytest
uv run ruff check .
uv run ruff format .
uv run pyright
Project Structure
idamcp/
├── idamcp/
│ ├── __init__.py # Package version
│ ├── bridge.py # IDA main thread execution bridge
│ ├── plugin.py # IDA plugin entry point
│ └── server.py # FastMCP server with execute_script tool
├── tests/
│ ├── test_bridge.py
│ └── test_server.py
├── install.py # Development plugin installer
├── idamcp_plugin.py # Standalone plugin entry point
└── pyproject.toml
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.