LLM Orchestration

cross-llm-mcp

Access multiple Large Language Models via MCP server

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

A Model Context Protocol (MCP) server that provides access to various LLM APIs including ChatGPT, Claude, DeepSeek, Gemini, and Grok, enabling developers to integrate diverse AI capabilities into their applications.

cross-llm-mcp stands out by offering a unified interface to access multiple LLM APIs, providing developers with the flexibility and control needed for diverse AI integration scenarios.

When it fits — and when it doesn’t

A good fit for

  • Teams that need to compare performance across different LLM APIs in a single environment

  • Developers who require flexibility in choosing between multiple models for specific tasks

  • Projects where self-hosting and control over the deployment are critical

Look elsewhere if

  • Users requiring real-time streaming capabilities, as this tool is designed for batch processing

  • Budget-constrained projects that cannot afford to host their own MCP server

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited documentation for advanced use cases

    Official docs focus on basic setup and usage, lack examples for complex scenarios

  2. 02

    Performance issues under heavy load

    Self-hosted instances may suffer from latency when handling multiple concurrent requests

  3. 03

    Small community and limited support

    GitHub issues have slow response times, few contributors to the project

What it does well

  • Supports multiple LLM APIs including ChatGPT, Claude, DeepSeek, Gemini, and Grok

  • Provides a unified interface for accessing different models via MCP

  • Self-hosted solution offering flexibility in deployment

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up cross-llm-mcp

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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