D
dnakov/frida-mcp
MCP stdio server for frida
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
- Copy the command above
- Paste it as one entry under
mcpServersinclaude_desktop_config.json— local servers take command + args (example: clients) - Restart your client
Install command from the repository
pip install frida-mcp
Parsed from the README we fetched on 2026-11-05; we have not executed it.
This is the install method the repository states, not an MCP client config, so no JSON is generated.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
pip install frida-mcp
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
pip install frida-mcp. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
# Frida MCP
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
A Model Context Protocol (MCP) implementation for Frida dynamic instrumentation toolkit.
## Overview
This package provides an MCP-compliant server for Frida, enabling AI systems to interact with mobile and desktop applications through Frida's dynamic instrumentation capabilities. It uses the official MCP Python SDK to enable seamless integration with AI applications.
## Demo
https://github.com/user-attachments/assets/5dc0e8f5-5011-4cf2-be77-6a77ec960501
## Features
Built with the official MCP Python SDK
Comprehensive Frida tools exposed through MCP:
Process management (list, attach, spawn, resume, kill)
Device management (USB, remote devices)
Interactive JavaScript REPL with real-time execution
Script injection with progress tracking
Process and device monitoring
Resources for providing Frida data to models
Prompts for guided Frida analysis workflows
Progress tracking for long-running operations
Full support for all MCP transport methods
## Installation
### Prerequisites
Python 3.8 or later
pip package manager
Frida 16.0.0 or later
### Quick Install
bash
pip install frida-mcp
### Development Install
bash
# Clone the repository
git clone https://github.com/yourusername/frida-mcp.git
cd frida-mcp
# Install in development mode with extra tools
pip install -e ".[dev]"
## Claude Desktop Integration
To use Frida MCP with Claude Desktop, you'll need to update your Claude configuration file:
1. Locate your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json
Windows: %APPDATA%\Claude\claudedesktopconfig.json
Linux: ~/.config/Claude/claudedesktopconfig.json
2. Add the following to your configuration file:
json
"mcpServers": {
"frida": {
"command": "frida-mcp"
## Usage
Once installed, you can use Frida MCP directly from Claude Desktop. The server provides the following capabilities:
### Process Management
List all running processes
Attach to specific processes
Spawn new processes
Resume suspended processes
Kill processes
### Device Management
List all connected devices (USB, remote)
Get device information
Connect to specific devices
### Interactive JavaScript REPL
Create interactive sessions with processes
Execute JavaScript code in real-time
Monitor process state and memory
Hook functions and intercept calls
## Overview
This package provides an MCP-compliant server for Frida, enabling AI systems to interact with mobile and desktop applications through Frida's dynamic instrumentation capabilities. It uses the official MCP Python SDK to enable seamless integration with AI applications.
## Demo
https://github.com/user-attachments/assets/5dc0e8f5-5011-4cf2-be77-6a77ec960501
## Features
Built with the official MCP Python SDK
Comprehensive Frida tools exposed through MCP:
Process management (list, attach, spawn, resume, kill)
Device management (USB, remote devices)
Interactive JavaScript REPL with real-time execution
Script injection with progress tracking
Process and device monitoring
Resources for providing Frida data to models
Prompts for guided Frida analysis workflows
Progress tracking for long-running operations
Full support for all MCP transport methods
## Installation
### Prerequisites
Python 3.8 or later
pip package manager
Frida 16.0.0 or later
### Quick Install
bash
pip install frida-mcp
### Development Install
bash
# Clone the repository
git clone https://github.com/yourusername/frida-mcp.git
cd frida-mcp
# Install in development mode with extra tools
pip install -e ".[dev]"
## Claude Desktop Integration
To use Frida MCP with Claude Desktop, you'll need to update your Claude configuration file:
1. Locate your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json
Windows: %APPDATA%\Claude\claudedesktopconfig.json
Linux: ~/.config/Claude/claudedesktopconfig.json
2. Add the following to your configuration file:
json
"mcpServers": {
"frida": {
"command": "frida-mcp"
## Usage
Once installed, you can use Frida MCP directly from Claude Desktop. The server provides the following capabilities:
### Process Management
List all running processes
Attach to specific processes
Spawn new processes
Resume suspended processes
Kill processes
### Device Management
List all connected devices (USB, remote)
Get device information
Connect to specific devices
### Interactive JavaScript REPL
Create interactive sessions with processes
Execute JavaScript code in real-time
Monitor process state and memory
Hook functions and intercept calls
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[](https://anclum.com/en/s/dnakov-frida-mcp/)
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