# Frida

> Use this tool when you need to interact with mobile or desktop applications from AI systems, enabling capabilities like process management and script injection. It solves problems in application analysis, debugging, and security testing by providing a bridge between AI and running processes. The tool accepts JavaScript inputs and outputs real-time execution results, making it ideal for use cases requiring dynamic instrumentation and interactive debugging.

Canonical page: https://skillsregistry.net/skills/dnakov-frida  
JSON: https://api.skillsregistry.net/v1/skills/dnakov-frida

## Description

Frida MCP provides a bridge between AI systems and mobile/desktop applications through Frida's dynamic instrumentation toolkit. This implementation enables AI assistants to interact with running processes across devices, offering capabilities like process management, device enumeration, JavaScript execution, and script injection. Built with the official MCP Python SDK, it features an interactive JavaScript REPL with real-time execution, comprehensive error handling, and progress tracking for long-running operations. The server is designed for seamless integration with Claude Desktop and supports all MCP transport methods, making it valuable for application analysis, debugging, and security testing workflows.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dnakov-frida)
- **Repository:** <https://github.com/dnakov/frida-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dnakov-frida"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dnakov-frida` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dnakov-frida/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt