SandBase Platform

Deploy AI agents
in minutes

Managed agent infrastructure with 1400+ models, 2000+ MCP tools, and cloud sandboxes. From first API call to production agents.

▷ Quickstart 🔑 Get API key { } API reference

PythonTypeScriptcURL

from anthropic import Anthropic

client = Anthropic(
    api_key="sk-sb-YOUR_KEY",
    base_url="https://api.sandbase.ai"
)

agent = client.beta.agents.create(
    model="claude-sonnet-4",
    name="Research Assistant",
    tools=[{"type": "agent_toolset_20260401"}],
    mcp_servers=[{
        "name": "web-search",
        "type": "url",
        "url": "https://mcp.sandbase.ai/web-search/sse"
    }]
)

session = client.beta.sessions.create(agent=agent.id)
print(session.id)

import Anthropic from '@anthropic-ai/sdk';

const client = new Anthropic({
    apiKey: 'sk-sb-YOUR_KEY',
    baseURL: 'https://api.sandbase.ai',
});

const agent = await client.beta.agents.create({
    model: 'claude-sonnet-4',
    name: 'Research Assistant',
    tools: [{ type: 'agent_toolset_20260401' }],
    mcp_servers: [{
        name: 'web-search',
        type: 'url',
        url: 'https://mcp.sandbase.ai/web-search/sse',
    }],
});

const session = await client.beta.sessions.create({
    agent: agent.id,
});
console.log(session.id);

curl -X POST https://api.sandbase.ai/v1/agents \
  -H "x-api-key: sk-sb-YOUR_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-sonnet-4",
    "name": "Research Assistant",
    "tools": [{"type": "agent_toolset_20260401"}],
    "mcp_servers": [{
      "name": "web-search",
      "type": "url",
      "url": "https://mcp.sandbase.ai/web-search/sse"
    }]
  }'

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