# Frida

> Use this tool when you need to dynamically instrument and analyze Android applications, solving complex mobile security research and reverse engineering problems. It provides a runtime manipulation framework with device management, application spawning, and process control capabilities. Ideal for automated dynamic analysis, it accepts Android application inputs and outputs instrumentation results, making it a valuable asset for AI-assisted mobile application security testing.

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

## Description

This Frida MCP server implementation provides AI assistants with dynamic instrumentation capabilities for Android applications through Frida's runtime manipulation framework. Built with Python and integrating with ADB for device management, it handles frida-server deployment, port forwarding, USB and remote device connections, and application spawning/attachment workflows. The implementation includes robust device management with automatic fallback connection methods, process lifecycle control, and application enumeration, making it particularly useful for mobile security research, reverse engineering workflows, and automated dynamic analysis of Android applications where AI assistance is needed for complex instrumentation tasks.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zhizhuodemao-frida)
- **Repository:** <https://github.com/zhizhuodemao/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": "zhizhuodemao-frida"
    }
  }
}
```

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

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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