Model ID Cheatsheet
Look up correct API model IDs, pricing, and specs across major providers before you wire LLM calls into your product.
Overview
io.github.aezizhu/model-id-cheatsheet is a MCP server for the Build phase that serves accurate API model IDs, pricing, and specs for 46 models across 7 AI providers.
What is this MCP server?
- Catalog of 46 models across 7 AI providers
- Accurate API model IDs, pricing, and specs in one MCP surface
- Remote SSE endpoint on Railway (universal-model-registry)
- Version 1.0.0 Model ID Cheatsheet from universal-model-registry repo
- Reduces wrong-model-string failures in multi-provider stacks
- 46 models documented
- 7 AI providers covered
- Server version 1.0.0
What problem does it solve?
Provider docs scatter model aliases and prices, so indie builders guess wrong IDs and mis-budget API usage.
Who is it for?
Builders juggling multiple LLM vendors who want a queryable cheatsheet inside the agent instead of bookmark sprawl.
Skip if: Teams that only use one frozen model with hard-coded IDs, or setups that cannot use remote SSE MCP endpoints.
What do I get? / Deliverables
Your agent can query a unified registry so integrations use valid model strings and realistic pricing assumptions.
- Authoritative model ID lookups for integrated providers
- Pricing and spec context for scope and integration decisions
Recommended MCP Servers
Journey fit
Model selection is central when integrating APIs during build, but the same registry supports early research and scoping decisions. integrations is the canonical shelf because wrong model strings break SDK calls and billing assumptions at implementation time.
How it compares
Model registry MCP over SSE, not an embedding skill or hosting inference gateway.
Common Questions / FAQ
Who is io.github.aezizhu/model-id-cheatsheet for?
Solo and indie developers integrating several AI APIs who need dependable model IDs and pricing context while coding with MCP agents.
When should I use io.github.aezizhu/model-id-cheatsheet?
Use it during API integration, cost scoping, or when a provider renames models and you need the current canonical ID before deploying.
How do I add io.github.aezizhu/model-id-cheatsheet to my agent?
Register the remote MCP SSE URL https://universal-model-registry-production.up.railway.app/sse in your MCP client’s remote servers config and verify network access.