ida-domain-mcp
Headless MCP server for IDA Pro enabling on-demand database loading and programmatic reverse engineering workflows via MCP tools.
README
ida-domain-mcp
A headless Model Context Protocol (MCP) server for IDA Pro built on top of ida-domain and ida-pro-mcp. It lets AI agents (or any MCP client) open and analyze IDA databases on demand — without launching the IDA manully — and control common reverse engineering workflows programmatically.
Unlike GUI-centric approaches, ida-domain-mcp spins up per-project worker processes on demand and loads binaries via an MCP tool call during the agent's workflow. You don't have to pre-load binaries at MCP server startup, and once configured, the whole flow can run fully automatically without human interaction.
Example
<!--
-->

Why it's different
- Headless by design: No dependency on the IDA graphical UI. Uses IDA's headless runners underneath via
ida-domain. - On-demand database loading: Call the
open_databaseMCP tool at any time during the agent session to load a binary or IDB; no manual preloading required. - Multi-project isolation: Each
project_nameruns in its own worker process; multiple binaries can be analyzed concurrently without interfering with each other.
Features (tools)
High-level categories of tools exposed via MCP:
- Project/session management:
open_database,close_database - IDB/Core:
idb_meta,lookup_funcs,cursor_addr,cursor_func,list_funcs,list_globals,imports,strings,segments,local_types,int_convert - Analysis & Xrefs:
decompile,disasm,xrefs_to,xrefs_to_field,callees,callers,entrypoints,analyze_funcs,find_bytes,find_insns,basic_blocks,find_paths,search,find_insn_operands,export_funcs,callgraph,xref_matrix,analyze_strings - Debugger:
dbg_start,dbg_exit,dbg_continue,dbg_run_to,dbg_step_into,dbg_step_over,dbg_list_bps,dbg_add_bp,dbg_delete_bp,dbg_enable_bp,dbg_regs,dbg_regs_thread,dbg_regs_cur,dbg_gpregs_thread,dbg_current_gpregs,dbg_regs_for_thread,dbg_current_regs,dbg_callstack,dbg_read_mem,dbg_write_mem - Memory & Patch:
get_bytes,get_u8,get_u16,get_u32,get_u64,get_string,get_global_value,patch - Types & Structs:
declare_type,apply_types,infer_types,structs,struct_info,read_struct,search_structs,stack_frame,declare_stack,delete_stack - Python:
py_eval
Most MCP tools here are thin wrappers around upstream ida_pro_mcp modules (core/analysis/debug/memory/modify/stack/types/python) and kept synchronized in functionality, parameters, and return formats. However, project/session management tools (open_database, close_database) are implemented locally for per-project process orchestration. See the source in ida_domain_mcp/src/ida_domain_mcp/main.py and ida_domain_mcp/src/ida_domain_mcp/ida_tools.py for the bindings, and ida-pro-mcp/src/ida_pro_mcp/ida_mcp for upstream implementations.
Requirements
- Python: 3.12+
- IDA: IDA Pro 9.1.0 or later installed.
- uv is recommended for Python package and project management. See uv documentation for installation instructions.
Environment Variables
Configure the executable path according to ida-domain's documentation.
export IDADIR="[IDA Installation Directory]"
Headless executables (idat/idat64) must be available in the specified IDA installation directory.
Installation
Make sure to set up the environment variable as described above before running the MCP server.
Run with uvx
The simplest way to run the MCP server without installing anything is via uvx:
uvx ida-domain-mcp --transport http://127.0.0.1:8744
Install from PyPI
You can install the package as a dependency of your project from PyPI:
# With uv
uv init
uv add ida-domain-mcp
# Or with pip
pip install ida-domain-mcp
Running the MCP server
Two transport modes are supported by the server entrypoint ida-domain-mcp:
-
stdio (default, for direct MCP client integration)
uv run ida-domain-mcp --transport stdio -
SSE or Streamable HTTP (useful with the MCP Inspector and remote clients)
# sse at http://127.0.0.1:8744/sse uv run ida-domain-mcp --transport http://127.0.0.1:8744 # streamable http at http://127.0.0.1:8744/mcp uv run ida-domain-mcp --transport http://127.0.0.1:8744 --streamable-httpYou can then connect with the MCP Inspector for quick exploration:
npx @modelcontextprotocol/inspector # Point it to: http://127.0.0.1:8744/sse (SSE) or http://127.0.0.1:8744/mcp (Streamable HTTP)
Testing
Clone the repository and install the dependencies:
git clone https://github.com/xxyyue/ida_domain_mcp
cd ida_domain_mcp
uv sync
A simple dual-database test is provided:
# Start the server first (SSE mode)
uv run ida-domain-mcp --transport http://127.0.0.1:8744
# In another shell, run the test client
uv run tests/test_ida_mcp.py http://127.0.0.1:8744/sse
# Or, run the test agent
echo "OPENAI_API_KEY=sk-..." > .env
uv run tests/agent.py
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
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.