Ya Frida

Pending JsBridge fix #3

Yet Another Frida MCP Server — Full-featured MCP server for Frida dynamic instrumentation.

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Existing Frida MCP servers on the market are either abandoned, poorly maintained, or limited to a handful of basic operations. ya-frida-mcp was built from scratch to be a comprehensive, production-ready bridge between AI agents and Frida — covering device management, process control, script injection, memory operations, and even ADB integration out of the box.

Features

59 MCP tools across 7 categories, all returning structured JSON for minimal token consumption.

Category	Tools	Highlights
Device	frida_ls_devices frida_get_device frida_add_remote frida_remove_remote frida_query_system_parameters frida_enable_spawn_gating frida_disable_spawn_gating frida_enumerate_pending_spawn frida_enumerate_pending_children frida_inject_library_file frida_inject_library_blob	Device management, system info, spawn gating, native library injection
Process	frida_ps frida_spawn frida_attach frida_detach frida_kill frida_resume frida_list_sessions	Full process lifecycle; frida_ps supports scope/pids, frida_spawn supports argv/env/cwd/stdio
App	frida_ls_apps frida_ls_apps_running frida_get_frontmost_application	App enumeration with scope/identifiers filtering
Script	frida_inject frida_rpc_call frida_unload_script frida_get_messages frida_list_scripts frida_enumerate_modules frida_enumerate_exports frida_list_exports frida_post_message frida_enable_child_gating frida_disable_child_gating frida_compile_script frida_snapshot_script frida_eternalize_script	JS injection (QJS/V8), RPC, child gating, bytecode compilation, script snapshots
Memory	frida_memory_read frida_memory_write frida_memory_scan frida_memory_protect	Read/write/scan/protect with hex I/O
ADB (optional)	adb_shell adb_push adb_pull adb_install adb_logcat adb_forward adb_root ...	17 tools, auto-registered when adb is on PATH
Frida Server (optional)	frida_server_status frida_server_install frida_server_start frida_server_stop	Auto-download, push, and manage frida-server on Android via ADB

Also includes:

• MCP Resources — live device list, session state, process/app enumeration as subscribable resources
• MCP Prompts — workflow templates for native hooking, Java/ObjC hooking, Stalker tracing, module dumping
• TOML Configuration — customize transport, default device, remote devices, timeouts
• CLI Utilities — doctor, devices, ps, ls, tools, install/uninstall for MCP clients
• One-command client setup — register into 22+ MCP clients including Claude Desktop, Cursor, VS Code, Windsurf, Roo Code, Cline, Kiro, and more
• Structured output — all tools return compact JSON with Literal type hints for LLM-friendly schemas

Quickstart

Install

# PyPI (recommended)
pip install ya-frida-mcp

# Or via uv
uv tool install ya-frida-mcp

Register into your MCP client

# Pick your client
ya-frida-mcp install claude-desktop
ya-frida-mcp install cursor
ya-frida-mcp install vscode
ya-frida-mcp install windsurf
ya-frida-mcp install roo-code
ya-frida-mcp install cline

# All supported clients at once
ya-frida-mcp install all

All supported clients (22)

Key	Client
amazon-q	Amazon Q Developer CLI
augment-code	Augment Code
claude-desktop	Claude Desktop
claude-code	Claude Code
cline	Cline
copilot-cli	Copilot CLI
crush	Crush
cursor	Cursor
gemini-cli	Gemini CLI
kilo-code	Kilo Code
kiro	Kiro
lm-studio	LM Studio
opencode	Opencode
qodo-gen	Qodo Gen
qwen-coder	Qwen Coder
roo-code	Roo Code
trae	Trae
vscode	VS Code
vscode-insiders	VS Code Insiders
warp	Warp
windsurf	Windsurf
zed	Zed

Start the server manually

# stdio (default, used by MCP clients)
ya-frida-mcp serve

# SSE transport
ya-frida-mcp serve -t sse -H 0.0.0.0 -p 8000

Configuration (optional)

ya-frida-mcp init-config   # generates config.toml in current directory
ya-frida-mcp show-config    # display resolved config
ya-frida-mcp -c /path/to/config.toml serve

# config.toml
[server]
name = "ya-frida-mcp"
transport = "stdio"       # "stdio" or "sse"
host = "127.0.0.1"
port = 8000

[frida]
default_device = "local"  # "local", "usb", or device ID
script_timeout = 10
spawn_timeout = 15

[[frida.remote_devices]]
host = "192.168.1.100"
port = 27042

CLI Reference

ya-frida-mcp doctor       # diagnose Frida connectivity
ya-frida-mcp devices      # list Frida devices
ya-frida-mcp ps            # list running processes (frida-ps)
ya-frida-mcp ls            # list installed apps (frida-ls)
ya-frida-mcp tools         # list all registered MCP tools
ya-frida-mcp version       # show version info

Development

# Clone
git clone https://github.com/1shin-7/ya-frida-mcp.git
cd ya-frida-mcp

# Install dependencies
uv sync

# Run in dev mode
uv run ya-frida-mcp serve

# Lint
uv run ruff check ya_frida_mcp/

# List tools (verify registration)
uv run ya-frida-mcp tools

Project Structure

ya_frida_mcp/
├── cli.py              # Click CLI entry point
├── config.py           # TOML configuration management
├── installer.py        # MCP client config installers
├── server.py           # FastMCP server factory + lifespan
├── resources.py        # MCP resources
├── prompts.py          # MCP workflow prompts
├── core/
│   ├── base.py         # ABC base classes + async helpers
│   ├── device.py       # Frida device wrapper + manager
│   ├── session.py      # Session + script lifecycle
│   ├── adb.py          # ADB CLI async wrapper
│   ├── frida_server.py # frida-server download & deploy logic
│   └── output.py       # Structured output helpers
└── tools/
    ├── device.py       # Device discovery tools
    ├── process.py      # Process management tools
    ├── app.py          # App enumeration tools
    ├── script.py       # Script injection + RPC tools
    ├── memory.py       # Memory read/write/scan tools
    ├── adb.py          # ADB CLI tools (optional)
    └── frida_server.py # frida-server management tools (optional)

Credits

• Frida — Dynamic instrumentation toolkit
• FastMCP — Pythonic MCP server framework
• Click — CLI framework
• Claude — AI-assisted development

License

MIT