# mcp-consultant

> Use this tool when you need to interact with AI models through a unified interface, solving integration problems with multiple AI CLIs. It bridges Gemini and OpenAI CLI tools, enabling seamless interactions with predefined model configurations. This tool is ideal for use cases requiring centralized AI model management and standardized input/output formats.

Canonical page: https://skillsregistry.net/skills/maxparez-mcp-consultant  
JSON: https://api.skillsregistry.net/v1/skills/maxparez-mcp-consultant

## Description

MCP server that interfaces with Gemini and OpenAI CLI tools to enable AI model interactions. It provides a bridge to external AI CLIs with predefined model configurations.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kqf2obqpc6)
- **Repository:** <https://github.com/maxparez/mcp-consultant>

## 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": "maxparez-mcp-consultant"
    }
  }
}
```

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