# mcp-slim

> mcp-slim — louisreid-mcp-doctor. Use this tool when you need to optimize MCP tool menus for improved agent accuracy, as it groups operations by tag and trims schemas from OpenAPI specs to reduce token usage. This tool solves problems of inefficient menu navigation and high token usage, making it ideal for applications with large OpenAPI specifications. It takes OpenAPI specs as input and outputs optimized MCP tool menus, streamlining agent tool selection.

Canonical page: https://skillsregistry.net/skills/louisreid-mcp-doctor  
JSON: https://api.skillsregistry.net/v1/skills/louisreid-mcp-doctor

## Description

Optimizes MCP tool menus from OpenAPI specs by grouping operations by tag and trimming schemas to reduce token usage, improving agent tool-selection accuracy.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ahyapjp6ml)
- **Repository:** <https://github.com/Coefficient-work/mcp-doctor>

## 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": "louisreid-mcp-doctor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/louisreid-mcp-doctor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/louisreid-mcp-doctor/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