# frida-mcp

> Use this tool when you need to dynamically instrument processes and analyze their behavior in real-time. It solves problems related to reverse engineering, debugging, and monitoring by allowing attachment of Frida to running processes, loading of JavaScript scripts, and retrieval of script output. It takes process IDs, JavaScript scripts, and RPC method calls as inputs and produces script output and process behavior data as outputs.

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

## Description

Enables dynamic instrumentation of processes by attaching Frida, loading JavaScript scripts, calling RPC methods, and retrieving script output through MCP.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vyatpk4zat)
- **Repository:** <https://github.com/SnowLuma/mcp-frida>

## 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": "snowluma-mcp-frida"
    }
  }
}
```

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