pulsemcp verified Safe content atomic mcp-remote

IL2CPP Frida Bridge

Provides a bridge between AI assistants and IL2CPP reverse engineering workflows through Frida dynamic instrumentation. Built with TypeScript and Python, it enables real-time analysis of Unity IL2CPP applications by exposing Frida's capabilities through MCP tools for class inspection, method hooking, memory analysis, and JavaScript code execution within target processes. The implementation combines frida-il2cpp-bridge for Unity-specific operations with a structured service architecture covering disassembly, garbage collection monitoring, and module introspection, making it valuable for security researchers, game modders, and developers analyzing Unity applications at runtime.

Cognium trust score

100%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: monitoring
Source: PulseMCP
Repository: github.com/axhlzy/il2cpp-frida-mcp
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve IL2CPP Frida Bridge from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"