Which integrations are available for this server?

Allows AI agents to dynamically instrument Android applications, manage processes, inject scripts, and interact with Frida server on Android devices via ADB.

How do I use ya-frida-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@ya-frida-mcp list connected Frida devices" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

ya-frida-mcp

by 1shin-7

Overview Schema Related Servers Score Discussions

Python

Hybrid

WIP: Ya Frida MCP

Pending JsBridge fix #3

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

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

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

1Releases (12mo)

Resources

GitHub Repository

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