by firerpa · MCP Server · ★ 8.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 8,478 |
| Forks | 1,145 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 57/100 |
| Open Issues | 48 |
| Last Updated | 2026-09-27 |
| Created | 2022-07-10 |
| Platforms | browser, cli, mcp, python |
| Est. Tokens | ~14k |
FIRERPA Android | AI-Powered Automation An all-in-one next-gen Android automation framework blending robust on-device services with AI-ready agents and extensible tool-calling capabilities. Documentation llms-full.txt Core Capabilities FIRERPA is a lightweight, on-device Android automation stack with no external dependencies.
These tools work well together with lamda for enhanced workflows:
Looking for a lamda alternative? If you're comparing lamda with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Trigger.dev – build and deploy durable AI agents and workflows
Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, ope
[DEPRECATED] Legacy Klavis AI MCP integrations. See klavis.ai for RL environments and training data.
A search-first, profile-aware reverse-engineering workspace for AI agents — 735 tools across 36 domains in one
Connect Cursor, Copilot & Claude AI directly to Cheat Engine via MCP. Automate reverse engineering, pointer sc
An autonomous agent that conducts deep research on any data using any LLM providers
Explore other popular mcp server tools:
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: