Ai Model Router
Route agent LLM requests across models and providers through one MCP server so you can optimize cost, latency, and capability without rewriting client code.
Overview
io.github.lazymac2x/ai-model-router is a MCP server for the Build phase that routes LLM requests across models for your agent through a Cloudflare Workers streamable-http endpoint.
What is this MCP server?
- Streamable-http MCP remote: https://api.lazy-mac.com/ai-model-router/mcp
- Server version 1.0.0; GitHub source lazymac2x/ai-model-router-api
- Cloudflare Workers hosting for agent-side routing decisions at the edge
- Supports multi-model strategies from a single MCP registration in Claude Code or Cursor
- Natural follow-on to ai-gateway for traffic entry and ai-guardrails for policy after routing
- 1 remote endpoint (streamable-http)
- Open-source API repo on GitHub (lazymac2x/ai-model-router-api)
What problem does it solve?
You locked into one LLM provider in code and now every model swap means painful refactors instead of a single routing layer your agent can call.
Who is it for?
Solo builders running multi-model agent setups who want MCP-native routing hosted on lazy-mac Workers during integration work.
Skip if: Teams that need fine-grained self-hosted routing meshes, custom GPU fleets, or routing logic that cannot go through an external HTTP MCP service.
What do I get? / Deliverables
With ai-model-router registered, your agent uses MCP routing tools so you can change models and fallbacks without scattering provider logic across the repo.
- Agent-accessible model routing MCP tools
- Central place to change model selection without rewiring every call site
- Foundation for a lazy-mac MCP stack with gateway and guardrails
Recommended MCP Servers
Journey fit
Build/integrations is primary because model routing is decided when you architect how your agent and product call LLMs. Integrations captures switching models, fallbacks, and provider selection exposed as MCP tools on the lazy-mac Workers API.
How it compares
LLM routing MCP integration, not a prompt library skill or a static model picker UI.
Common Questions / FAQ
Who is io.github.lazymac2x/ai-model-router for?
Independent developers using MCP agents who need to direct requests to different LLMs through one remote router server.
When should I use io.github.lazymac2x/ai-model-router?
Use it while building integrations and when you introduce fallbacks, cost tiers, or capability-specific models in your agent workflow.
How do I add io.github.lazymac2x/ai-model-router to my agent?
Insert a remote MCP server entry for https://api.lazy-mac.com/ai-model-router/mcp with type streamable-http, reload MCP tools, and invoke routing tools from your agent.