frida-mcp
A simple MCP server exposing persistent, scriptable Frida dynamic instrumentation to an AI agent for Windows reversing, malware/security analysis, and dynamic debugging.
README
frida-mcp
A simple MCP server exposing persistent, scriptable Frida dynamic instrumentation to an AI agent. Built for Windows reversing, malware/security analysis, and general dynamic debugging.
Install
pip install -e .
Requires Python 3.11+. Frida is the only runtime dependency.
Run
FRIDA_MCP_PROJECT=./mytarget.fmcp python -m frida_mcp
Register it with your MCP client (stdio transport). All state lands in the
.fmcp project directory: db.sqlite (metadata) + traces/*.jsonl (events).
Capabilities
- Process control: spawn (gated), attach, resume, detach, kill, list modules.
- Memory: read, write, AOB/pattern scan, ranges.
- Hooks:
add_hook,trace_api(e.g.kernel32!CreateFile*) with backtraces — all calls stream to disk. eval_js: run JS in a persistent in-process context; results come back as structured typed values you can feed straight intoread_memory/disassemble.disassemble: read N instructions from live memory (Capstone).- Persistence:
list_sessions/resume_sessionre-attach and reinstall hooks if the target is alive, or tell you to re-spawn if it died. Events, REPL history, and notes survive restarts.
Deep static analysis (xrefs, function boundaries, decompilation) is out of scope — use an IDA or x64dbg MCP for that.
Tests
pytest # unit tests (no target needed)
pytest -m live # integration tests (attach to a real process)
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