The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Auxen listing page.
This is the public manifest repo for the Auxen MCP (Model Context Protocol) server. The server itself runs at https://api.auxen.ai/mcp — this repo exists so registries (Smithery, Glama, the official MCP registry) have a canonical place to read metadata from.
The Auxen MCP server is a remote, StreamableHTTP server. Add it to your MCP client by URL:
Authentication uses OAuth 2.1 + PKCE (recommended for browser-based clients) or a direct Auxen API key (auxen_live_* / auxen_test_*) sent as Authorization: Bearer <key>.
The discovery metadata is at:
https://api.auxen.ai/.well-known/oauth-authorization-server (RFC 8414)https://api.auxen.ai/.well-known/oauth-protected-resource (RFC 9728)Clients that support Dynamic Client Registration (RFC 7591) — including Claude.ai's Connectors Directory — can register themselves automatically. After registration the client redirects the user's browser to https://api.auxen.ai/oauth/authorize, the user logs in to Auxen and approves the connection on https://auxen.ai/oauth/authorize, and the client receives an authorization code that exchanges for an access token at https://api.auxen.ai/oauth/token.
For agents that don't go through a browser, generate an auxen_live_* (or auxen_test_*) key at https://auxen.ai/dashboard/api-keys and send it as Authorization: Bearer <key> on every MCP call.
| Tool | Effect | Hint |
|---|---|---|
auxen_list_models | List available models, optionally filtered by size | read-only |
auxen_get_instance_status | Get status, endpoint, api_key for an instance | read-only |
auxen_list_instances | List all instances on the account | read-only |
auxen_get_balance | Read USD credits + active subscriptions | read-only |
auxen_provision_model | Provision a new model instance — spends money | destructive |
auxen_destroy_instance | Destroy an instance — irreversible | destructive |
Auxen provisions private, dedicated GPU instances running open-source models (Llama 3.1, Qwen 2.5, Mistral, Gemma 2, Phi-3). Each instance is fully private — no shared inference, no third-party routing. Pay-per-minute billing, no subscriptions.
For the human-facing documentation: