[ Confirm upstream transport MCP ]

How to Use Sunra AI MCP Server with Bifrost

Search for and run AI models on Sunra.ai. Discover models, create video, image, and 3D model content, track their status, and manage the generated media.

[ MCP SERVER SUMMARY ]

Sunra AI MCP server summary

Search for and run AI models on Sunra.ai. Discover models, create video, image, and 3D model content, track their status, and manage the generated media. Connect Sunra AI through Bifrost MCP Gateway to centralize access control, virtual keys, and tool-call observability for your AI assistants.

Property	Details
Company	Upstream maintainer
Connection type	Confirm upstream transport
Authentication	Varies by upstream server
Package or endpoint	See upstream documentation
Capabilities	Sunra AI tools over MCP, AI assistant connectivity, Governed tool access through Bifrost
Official documentation	Sunra AI MCP documentation

Before you start

Review the Sunra AI upstream documentation for its installation requirements
Obtain any credentials required by the upstream service
A running Bifrost MCP Gateway instance

What you can do with Sunra AI

Search for and run AI models on Sunra.ai. Discover models, create video, image, and 3D model content, track their status, and manage the generated media.
Expose Sunra AI tools to Claude, Cursor, and other MCP clients through one endpoint
Apply virtual keys, tool allowlists, and audit logging at the gateway

MCP ServerIntegration

[ HOW TO CONNECT ]

Connect Sunra AI to Bifrost in three steps

Install Bifrost

Start the gateway locally or deploy in your VPC.

npx -y @maximhq/bifrost

Add Sunra AI in MCP Gateway

Open MCP Gateway in the Bifrost dashboard, click New MCP Server, and select the transport documented by the upstream server. Or register via the API below.

• Confirm the transport, command or endpoint, and authentication requirements in the Sunra AI upstream documentation.

• Replace every placeholder in the example before sending the request.

Point clients at Bifrost /mcp

Configure Claude Desktop, Cursor, or Claude Code to use your Bifrost endpoint with a virtual key instead of connecting directly to Sunra AI.

{
  "mcpServers": {
    "bifrost": {
      "url": "http://localhost:8080/mcp",
      "headers": {
        "Authorization": "Bearer vk_your_virtual_key"
      }
    }
  }
}

[ EXAMPLE CONFIG ]

Register Sunra AI via API

Add this MCP client with a POST to /api/mcp/client. See Connecting to MCP Servers for full options.

# For a remote HTTP or SSE server:
curl -X POST http://localhost:8080/api/mcp/client \
  -H "Content-Type: application/json" \
  -d '{
    "name": "sunra-ai",
    "connection_type": "<http|sse>",
    "connection_string": "<upstream MCP endpoint>",
    "tools_to_execute": ["*"]
  }'

# For a local STDIO server:
curl -X POST http://localhost:8080/api/mcp/client \
  -H "Content-Type: application/json" \
  -d '{
    "name": "sunra-ai",
    "connection_type": "stdio",
    "stdio_config": {
      "command": "<upstream command>",
      "args": ["<arg>"]
    },
    "tools_to_execute": ["*"]
  }'

[ WHY BIFROST ]

Run Sunra AI through one governed gateway

Access control

Virtual keys, RBAC, and tool allowlists per team or agent.

Cost governance

Attribute MCP tool spend alongside LLM usage in one view.

Observability

Log every tool call with latency, server, and virtual key metadata.

Credential isolation

Upstream secrets stay in the gateway — not on every laptop.

[ FAQ ]

Common questions

What does the Sunra AI MCP server do?

Search for and run AI models on Sunra.ai. Discover models, create video, image, and 3D model content, track their status, and manage the generated media. The exact tools available depend on the upstream server version and configuration.

How do I connect Sunra AI to Bifrost?

Check the upstream documentation to determine whether Sunra AI uses STDIO, Streamable HTTP, or SSE. Then add it as an MCP client in Bifrost using the corresponding command or endpoint.