Browse 160+ LLM models and live pricing — no API key needed for catalog. Add key to route chat.
Browse 160+ LLM models and live pricing — no API key needed for catalog. Add key to route chat. That is what the orcarouter mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
Catalog browsing works without an API key — compare pricing and capabilities before signing up.
The server publishes 4 tools. What each one is for:
orcarouter_chat — run a chat completion (with optional fallback chain)orcarouter_models_list — browse the catalog (pricing, context, capabilities)orcarouter_model_card — detailed info for one modelorcarouter_providers_list — list providers with model countsThe server ships on npm as @orcarouter/mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Configuration is passed through the environment: ORCAROUTER_API_KEY, ORCAROUTER_BASE_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. OrcaRouter's toolset — orcarouter_chat, orcarouter_models_list, orcarouter_model_card and 1 more — is a fair guide to whether it matches your workflow. It is maintained by Continuum-AI-Corp; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against OrcaRouter's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| orcarouter_chat | run a chat completion (with optional fallback chain) |
| orcarouter_models_list | browse the catalog (pricing, context, capabilities) |
| orcarouter_model_card | detailed info for one model |
| orcarouter_providers_list | list providers with model counts |
{
"mcpServers": {
"orcarouter": {
"command": "npx",
"args": ["-y", "@orcarouter/mcp"],
"env": {
"ORCAROUTER_API_KEY": "your-value",
"ORCAROUTER_BASE_URL": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| ORCAROUTER_API_KEY | Credential the server authenticates with. | Yes |
| ORCAROUTER_BASE_URL | Endpoint or connection string the server talks to. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.