How do I configure the server?

Set environment variables for each provider’s API key (`OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `PERPLEXITY_API_KEY`, `GEMINI_API_KEY`) in the `claude_desktop_config.json` file.

What if I don’t have a key for a certain provider?

That provider will be skipped automatically; you only need keys for the services you want to use.

What credentials does it need?

It reads `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `PERPLEXITY_API_KEY`, `GEMINI_API_KEY` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Multi LLM Cross MCP Server

A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously

Local serverstdioPython

What is the Multi LLM Cross MCP Server?

A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously

What you get

A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously. This server integrates with Claude Desktop as an MCP server to provide a unified interface for querying different LLM APIs.

Query multiple LLM providers in parallel
Currently supports:
OpenAI (ChatGPT)
Anthropic (Claude)
Perplexity AI
Google (Gemini)

Configuration and credentials

Python 3.8 or higher - API keys for the LLM providers you want to use - uv package manager (install with pip install uv)

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Configuration

Python 3.8 or higher - API keys for the LLM providers you want to use - uv package manager (install with pip install uv)

Variable	Description	Required
OPENAI_API_KEY	Credential the server authenticates with.	Yes
ANTHROPIC_API_KEY	Credential the server authenticates with.	Yes
PERPLEXITY_API_KEY	Credential the server authenticates with.	Yes
GEMINI_API_KEY	Credential the server authenticates with.	Yes

Frequently asked questions

Python 3.8 or higher, API keys for the desired LLM providers, and the uv package manager installed via `pip install uv`.

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