About Ida Domain MCP
Ida Domain MCP is an MCP server published by xxyyue in the Data category: a headless MCP server for IDA Pro. It lets AI agents open and analyze multiple IDA databases on demand, without launching the IDA manully.
The repository has 18 stars and 3 forks, with the last commit 7 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/xxyyue/ida_domain_mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- ✓Tests presentA test suite exists in the repository.
- ✓Dependencies pinnedA lockfile pins dependency versions.
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- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
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
README fetched from the repository yesterday. The original is authoritative.