Auxen
ai.auxen/auxen
Documentation
Auxen MCP Server
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.
Connect
The Auxen MCP server is a remote, StreamableHTTP server. Add it to your MCP client by URL:
https://api.auxen.ai/mcp
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>.
OAuth flow
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.
Direct key (programmatic)
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.
Tools
| 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 |
What is Auxen?
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:
- Website: https://auxen.ai
- Architecture explainer: https://auxen.ai/architecture
- Agent reference: https://auxen.ai/agent-reference.md
- Concise reference for LLMs: https://auxen.ai/llms.txt
- OpenAPI 3.1 spec: https://api.auxen.ai/openapi.json
Support
- Email: [email protected]
- Status: https://status.auxen.ai
Wardn official registry import notes
Installation
Use the declared package or remote MCP target from the official registry record.
Configuration
Package targets: None declared. Remote targets: streamable-http:https://api.auxen.ai/mcp
Capabilities
Provision private AI model endpoints on dedicated GPUs (Llama, Qwen, Mistral). Pay per minute.
Limitations
Imported from the official MCP registry. Wardn review must verify source, security, ownership, and operational claims before publication.
