Open Registry & Intelligence Platform for AI Infrastructure

Discover, compare and monitor LLM models, inference providers, MCP servers and agent skills using open data and real-time telemetry.

Track latency, uptime, pricing, rate limits, capabilities, and provider mappings — in one place.

• Models — canonical registry of LLM models: capabilities, context windows, modalities, licensing, open-weight status

• Providers — 52 inference providers with API base URLs, auth types, regions, free tiers, trial credits

• Mappings — per-provider rate limits, pricing, and model availability

• Telemetry — real-time latency (TTFT p50/p95/p99) and uptime monitoring across providers

• MCP Servers — registry of 187 Model Context Protocol servers

• Skills — 215 ready-to-use AI agent prompts and workflows for Claude Code, Cursor, Kiro, Copilot, Windsurf and more

• Insights — data-driven analysis and benchmarks based on live telemetry

• CLI — command-line interface for querying the registry

openmodels/ → public YAML registry (models, providers, mappings, schemas)
skills/ → community AI agent skills (github.com/openmodelsrun/skills)
mcp/ → Model Context Protocol server registry
cms/ → Payload CMS for Insights content (cms.openmodels.run)
docs/ → architecture, roadmap, contributing guides (docs.openmodels.run)
platform/ → intelligence platform — Next.js + NestJS + Python workers

→ openmodels.run — search, compare, telemetry, skills, MCP servers, insights

• Registry (models, providers, mappings)

• Telemetry (Anthropic, Groq, AWS, DeepSeek, Alibaba, Google AI)

• Skills

• MCP Servers registry

• Insights

• CLI

• Public API

• SDK (@openmodels/sdk)

• i18n (Chinese, Russian, Spanish)

• User accounts + Pro plan

The registry is community-maintained. Adding a model, provider, or MCP server is a single YAML file.

→ Contributing Guide