frida-mcp: MCP stdio server for frida

by dnakov · MCP Server · ★ 448

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install frida-mcp

pip install frida-mcp

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars448
Forks62
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score69/100
Open Issues5
Last Updated2025-05-12
Created2025-03-27
Platformsmcp, python
Est. Tokens~14k

About frida-mcp

Frida MCP 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.

Compatible Skills

These tools work well together with frida-mcp for enhanced workflows:

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Popular Python Agent Tools

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse MCP Server tools