# Local Model Suitability MCP

> Use this tool when you need to evaluate the suitability of local models for AI agents, solving problems of model incompatibility and inefficiency. It takes in local model data and agent requirements as inputs, and outputs a suitability score, enabling informed decision-making. Ideal for use cases where agents require tailored models to operate effectively in diverse environments.

Canonical page: https://skillsregistry.net/skills/io-github-ojaskord-local-model-suitability-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-ojaskord-local-model-suitability-mcp

## Description

Check if a task runs locally vs cloud. Save money on calls that don't need cloud inference.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.OjasKord%2Flocal-model-suitability-mcp)
- **Repository:** <https://github.com/OjasKord/local-model-suitability-mcp>

## Use it

MCP endpoint published by the skill: `https://local-model-suitability-mcp-production.up.railway.app`

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": "io-github-ojaskord-local-model-suitability-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-ojaskord-local-model-suitability-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-ojaskord-local-model-suitability-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