Symbioza MCP MCP server
Symbioza provides an MCP server that allows AI agents to submit containerized GPU jobs for training, evaluation, and batch inference. The server manages cloud compute under a hard spending limit, handling job estimation, submission, status tracking, and artifact collection while keeping credentials secure via secrets.
Endpoint and access
OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.
OAuth sign-inEndpoint checked 2026-10-05
MCP endpoint (Streamable HTTP)
https://symbioza.dev/mcpWhat you can do with it
- Estimate costs for model training or evaluation jobs
- Submit containerized GPU workloads with a spending limit
- Check job status and retrieve output artifacts
- Manage secrets and credentials for job execution
Connect from your client
Each snippet registers the same endpoint; pick the client you use.
Claude Code
Claude Code configuration
claude mcp add --transport http symbioza-mcp https://symbioza.dev/mcpCodex
Codex configuration
codex mcp add symbioza-mcp --url https://symbioza.dev/mcpCursor
Cursor configuration
{
"mcpServers": {
"symbioza-mcp": {
"url": "https://symbioza.dev/mcp"
}
}
}Cline
Cline configuration
{
"mcpServers": {
"symbioza-mcp": {
"type": "streamableHttp",
"url": "https://symbioza.dev/mcp",
"disabled": false
}
}
}VS Code
VS Code configuration
{
"servers": {
"symbioza-mcp": {
"type": "http",
"url": "https://symbioza.dev/mcp"
}
}
}Gemini CLI
Gemini CLI configuration
gemini mcp add --transport http symbioza-mcp https://symbioza.dev/mcpClaude Desktop
Claude Desktop configuration
{
"mcpServers": {
"symbioza-mcp": {
"url": "https://symbioza.dev/mcp"
}
}
}Windsurf
Windsurf configuration
{
"mcpServers": {
"symbioza-mcp": {
"serverUrl": "https://symbioza.dev/mcp"
}
}
}Other cloud and infrastructure servers
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