</div>

🎯 Choose Your Solution

<div align="center"> <table> <tr> <td align="center" width="33%" valign="top" style="vertical-align: top; height: 250px;"> <div style="height: 100%; display: flex; flex-direction: column; justify-content: space-between;"> <div> <h2>Strata</h2> <p><strong>Intelligent connectors for your AI agent, optimize context window</strong></p> </div> <div> <a href="https://www.klavis.ai/docs/concepts/strata">

text

        </a>
      </div>
    </div>
  </td>
  <td align="center" width="33%" valign="top" style="vertical-align: top; height: 250px;">
    <div style="height: 100%; display: flex; flex-direction: column; justify-content: space-between;">
      <div>
        <h2>MCP Integrations</h2>
        <p><strong>100+ prebuilt integrations out-of-the-box, with OAuth support</strong></p>
      </div>
      <div>
        <a href="https://www.klavis.ai/docs/mcp-server/overview">

        </a>
      </div>
    </div>
  </td>
  <td align="center" width="33%" valign="top" style="vertical-align: top; height: 250px;">
    <div style="height: 100%; display: flex; flex-direction: column; justify-content: space-between;">
      <div>
        <h2>MCP Sandbox</h2>
        <p><strong>scalable MCP environments for LLM training and RL</strong></p>
      </div>
      <div>
        <a href="https://www.klavis.ai/docs/concepts/sandbox">

        </a>
      </div>
    </div>
  </td>
</tr>

</table> </div>

Quick Start

Option 1: Cloud-hosted - klavis.ai

Quickstart guide →

Option 2: Self-host

bash

# Run any MCP Integration
docker pull ghcr.io/klavis-ai/github-mcp-server:latest
docker run -p 5000:5000 ghcr.io/klavis-ai/github-mcp-server:latest

# Install Open Source Strata locally
pipx install strata-mcp
strata add --type stdio playwright npx @playwright/mcp@latest

Option 3: SDK

python

# Python SDK
from klavis import Klavis
from klavis.types import McpServerName

klavis = Klavis(api_key="your-key")

# Create Strata instance
strata = klavis_client.mcp_server.create_strata_server(
    user_id="user123",
    servers=[McpServerName.GMAIL, McpServerName.SLACK],
)

# Or use individual MCP servers
gmail = klavis.mcp_server.create_server_instance(
    server_name=McpServerName.GMAIL,
    user_id="user123",
)

typescript

// TypeScript SDK
import { KlavisClient, McpServerName } from 'klavis';

const klavis = new KlavisClient({ apiKey: 'your-api-key' });

// Create Strata instance
const strata = await klavis.mcpServer.createStrataServer({
    userId: "user123",
    servers: [Klavis.McpServerName.Gmail, Klavis.McpServerName.Slack],
});

// Or use individual MCP servers
const gmail = await klavis.mcpServer.createServerInstance({
    serverName: McpServerName.GMAIL,
    userId: "user123"
});

Option 4: REST API

bash

# Create Strata server
curl -X POST "https://api.klavis.ai/v1/mcp-server/strata" \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "user_id": "user123",
    "servers": ["GMAIL", "SLACK"]
  }'

# Create individual MCP server
curl -X POST "https://api.klavis.ai/v1/mcp-server/instance" \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "server_name": "GMAIL",
    "user_id": "user123"
  }'

Resources

<div align="center"> <p><strong>Made with ❤️ by the Klavis Team</strong></p> </div>

ai.klavis/strata