# Multi-LLM Cross-Check

> Use this tool when you need to cross-reference and compare responses from multiple large language models (LLMs) for fact-checking, gathering diverse perspectives, or evaluating model capabilities. It provides a unified interface for querying OpenAI, Anthropic, Perplexity AI, and Google Gemini APIs simultaneously, handling authentication, formatting, and error management. Ideal for users seeking to verify information, assess model biases, or explore different AI-generated responses to a given prompt.

Canonical page: https://skillsregistry.net/skills/lior-ps-multi-llm-cross-check  
JSON: https://api.skillsregistry.net/v1/skills/lior-ps-multi-llm-cross-check

## Description

Multi LLM Cross-Check MCP Server provides a unified interface for querying multiple LLM providers simultaneously, allowing users to compare responses side-by-side. Built with Python using FastMCP, this server integrates with Claude Desktop and supports OpenAI, Anthropic, Perplexity AI, and Google Gemini APIs through asynchronous parallel processing. The implementation handles API authentication, request formatting, and error management for each provider, making it particularly valuable for users who want to cross-reference AI responses for fact-checking, gathering diverse perspectives, or evaluating different models' capabilities on the same prompt.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lior-ps-multi-llm-cross-check)
- **Repository:** <https://github.com/lior-ps/multi-llm-cross-check-mcp-server>

## 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": "lior-ps-multi-llm-cross-check"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lior-ps-multi-llm-cross-check` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lior-ps-multi-llm-cross-check/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