# AI Model Advisor MCP Server

> Use this tool when you need to optimize AI model selection and reduce costs, as it enables discovery, comparison, and benchmarking of models from multiple providers based on pricing, performance, and capabilities. It solves problems of model selection, cost estimation, and performance evaluation, providing real-time insights to inform decision-making. Ideal for use cases requiring efficient and cost-effective AI model deployment, it takes in model requirements and outputs optimized model recommendations and cost estimates.

Canonical page: https://skillsregistry.net/skills/semicolon-d-ai-model-advisor-mcp  
JSON: https://api.skillsregistry.net/v1/skills/semicolon-d-ai-model-advisor-mcp

## Description

Enables AI agents to discover, compare, and select the best AI models across multiple providers based on pricing, performance, and capabilities, with real-time cost estimation and benchmarking.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mhyh202l0w)
- **Repository:** <https://github.com/Semicolon-D/ai-model-advisor-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": "semicolon-d-ai-model-advisor-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/semicolon-d-ai-model-advisor-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/semicolon-d-ai-model-advisor-mcp/pull`

---
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