cross-llm-mcp
Access multiple Large Language Models via MCP server
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is cross-llm-mcp?
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.
Key differentiator
“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.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best 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
✕ Not a fit for
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
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with cross-llm-mcp
Step-by-step setup guide with code examples and common gotchas.