OmniRoute MCP

Overview

OmniRoute is a free, MIT-licensed AI gateway that aggregates 231+ LLM providers (including 50+ with free tiers) behind a single endpoint. It integrates with Claude Code, Cursor, Copilot, and other AI tools via auto-fallback routing, compression, and 17 routing strategies.

With over 11,500 GitHub stars and 4,100+ weekly growth, OmniRoute addresses a growing pain point: AI service geo-blocking, API rate limits, and cost. By local-first aggregation of free tiers and fault-tolerant routing, it enables developers to build resilient AI pipelines even where direct access to commercial APIs is restricted.

Features

• 231+ providers, 50+ free tiers — aggregates up to ~1.6B free tokens/month
• Auto-fallback across providers — transparent failover during outages
• RTK + Caveman compression — saves 15–95% tokens
• 17 routing strategies — cost, latency, quality optimization
• MCP + A2A agent protocols — 95 built-in tools
• Local-first — runs on-device, no cloud dependency
• Docker/Electron/Termux support — runs anywhere
• MIT license — open source for any use case

Installation

Via npm

npm i -g omniroute
omniroute

Via Docker

docker run -p 8080:8080 omniroute/omniroute

Via Electron Desktop

Download the desktop application from GitHub releases.

Configuration

MCP Server Configuration

{
  "mcpServers": {
    "omniroute": {
      "command": "omniroute",
      "args": ["mcp"],
      "env": {
        "OMNIROUTE_API_KEY": "your-api-key"
      }
    }
  }
}

Provider Configuration

{
  "providers": [
    {
      "name": "openai",
      "api_key": "sk-...",
      "priority": 1
    },
    {
      "name": "anthropic",
      "api_key": "sk-ant-...",
      "priority": 2
    },
    {
      "name": "free-tier-aggregator",
      "priority": 3
    }
  ],
  "routing": {
    "strategy": "cost-optimized",
    "fallback": true,
    "compression": true
  }
}

Available Tools

Tool	Description
route_request	Route LLM request through optimal provider
list_providers	List all configured providers and their status
set_routing_strategy	Change routing strategy (cost/latency/quality)
compress_prompt	Apply RTK+Caveman compression to reduce tokens
check_fallback	Verify fallback chain is working
get_usage	Get token usage across all providers
add_provider	Add a new LLM provider to the pool
remove_provider	Remove a provider from the pool

Usage Examples

Basic Routing

omniroute route --model gpt-5.4 --prompt "Write a Python function"

Cost-Optimized Routing

omniroute route --strategy cost --prompt "Explain quantum computing"

With Compression

omniroute route --compress --prompt "$(cat large-document.txt)"

MCP Tool Call

{
  "tool": "route_request",
  "arguments": {
    "model": "claude-sonnet-4-6",
    "prompt": "Analyze this code",
    "options": {
      "compression": true,
      "fallback": true
    }
  }
}

Claude Desktop Setup

1. Install OmniRoute:

npm i -g omniroute

2. Add to claude_desktop_config.json:

{
  "mcpServers": {
    "omniroute": {
      "command": "omniroute",
      "args": ["mcp"]
    }
  }
}

3. Restart Claude Desktop.

Pros

• ✅ Aggregates 231+ providers behind single endpoint
• ✅ 50+ free tiers (~1.6B tokens/month)
• ✅ Auto-fallback for fault tolerance
• ✅ 15–95% token savings with compression
• ✅ Local-first, no cloud dependency
• ✅ Works where AI services are geo-blocked
• ✅ MIT license for any use case
• ✅ Docker/Electron/Termux support

Cons

• ❌ Requires technical configuration
• ❌ Heavy compression may reduce prompt quality
• ❌ Free tier providers may have rate limits
• ❌ Some providers may have usage restrictions
• ❌ Local setup requires maintenance

When to Use

OmniRoute is ideal when you:

• Want to maximize free AI quotas across multiple providers
• Need fault-tolerant AI pipelines with automatic fallback
• Are reducing API costs for development tools
• Work in regions with geo-blocked AI services
• Want local-first AI gateway without cloud dependency
• Need MCP-compatible AI routing for agent workflows

Resources

• GitHub Repository
• Documentation
• MIT License