# Logos Plugin Bridge

> Use this tool when you need to integrate AI assistants with the Logos modular plugin system, enabling seamless communication and functionality extension. It solves the problem of incompatible interfaces by automatically converting C++ module interfaces to MCP tools, facilitating inter-module communication via LogosAPI. The bridge takes C++ module interfaces as input and outputs callable MCP tools, making it ideal for use cases requiring AI-driven plugin functionality.

Canonical page: https://skillsregistry.net/skills/corpetty-logos-plugin-bridge  
JSON: https://api.skillsregistry.net/v1/skills/corpetty-logos-plugin-bridge

## Description

Logos Plugin Bridge connects AI assistants to the Logos modular plugin system by automatically converting C++ module interfaces to MCP tools using the logos-cpp-generator code generator. Core modules expose their methods through a universal interface that the bridge surfaces as callable MCP tools, with inter-module communication supported via LogosAPI.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/corpetty-logos-plugin-bridge)
- **Repository:** <https://github.com/corpetty/logos_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": "corpetty-logos-plugin-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/corpetty-logos-plugin-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/corpetty-logos-plugin-bridge/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