# mcp-bridge

> mcp-bridge — atomic-germ-mcp-bridge. Use this tool when you need to optimize model performance by seamlessly switching between meditation and critique cycles, leveraging neuroscience heuristics to detect optimal mode-switch moments and logging progress for iterative improvement. It takes in model outputs and meditation/critique cycle data as inputs, and provides optimized mode-switch recommendations as output. Ideal for use in machine learning development workflows, particularly when integrated with git version control.

Canonical page: https://skillsregistry.net/skills/atomic-germ-mcp-bridge  
JSON: https://api.skillsregistry.net/v1/skills/atomic-germ-mcp-bridge

## Description

A cognitive, literal, and metaphorical bridge *for models* that logs meditation↔critique cycles, detects optimal mode-switch moments using neuroscience heuristics, and injects context seamlessly.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/Atomic-Germ/mcp-bridge)

## 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": "atomic-germ-mcp-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atomic-germ-mcp-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atomic-germ-mcp-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