# bionic-mcp

> bionic-mcp — turner-moore-bionic-mcp. Use this tool when you need to leverage local models in LM Studio and integrate them with Claude Code for AI-assisted subtasks. It bridges the gap between private models and cloud-based services, enabling secure and free AI-powered workflows. The tool accepts local models as input and outputs structured responses, making it ideal for tasks that require private and controlled AI interactions.

Canonical page: https://skillsregistry.net/skills/turner-moore-bionic-mcp  
JSON: https://api.skillsregistry.net/v1/skills/turner-moore-bionic-mcp

## Description

Bridges LM Studio local models to Claude Code as MCP tools, enabling private and free AI-assisted subtasks. Includes respond and models tools with automatic model selection and structured output.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/idaf8j4xaf)
- **Repository:** <https://github.com/turner-moore/bionic-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": "turner-moore-bionic-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/turner-moore-bionic-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/turner-moore-bionic-mcp/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