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Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

MCP ServersRegistry oficial5.7k estrellas545 forksPythonApache-2.0Actualizado 11d ago
Nota editorial

Klavis AI is an open-source MCP integration platform built around three components: Strata, a meta-MCP server that aggregates multiple MCP servers behind a single connection while managing context window usage; a library of over 100 prebuilt MCP server integrations covering services such as Gmail, Slack, and GitHub with OAuth2 authentication handled out of the box; and MCP Sandbox, a set of scalable MCP environments intended for LLM training and reinforcement learning workflows. The platform connects to Claude and other LLM-based agents via the Model Context Protocol, and can be used through a cloud-hosted service at klavis.ai, self-hosted Docker containers, or Python and TypeScript SDKs. A notable detail is that Strata can be installed locally with a single `pipx install strata-mcp` command and configured to wrap existing stdio-based MCP servers such as Playwright. The platform targets developers building AI agents who need reliable, multi-service tool access without managing OAuth flows or individual server deployments themselves.

ClaudeWave Trust Score
100/100
Verified
Passed
  • Open-source license (Apache-2.0)
  • Actively maintained (<30d)
  • Healthy fork ratio
  • Clear description
  • Topics declared
  • Mature repo (>1y old)
Last scanned: 6/11/2026
Install in Claude Code / Claude Desktop
Method: NPX · @playwright/mcp
Claude Code CLI
claude mcp add klavis -- npx -y @playwright/mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "klavis": {
      "command": "npx",
      "args": ["-y", "@playwright/mcp"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Casos de uso

Resumen de MCP Servers

<div align="center">
  <picture>
    <img src="./docs/images/logo/cover.png" width="100%">
  </picture>
</div>

<div align="center">

[![Documentation](https://img.shields.io/badge/Documentation-📖-green)](https://www.klavis.ai/docs)
[![Website](https://img.shields.io/badge/Website-🌐-purple)](https://www.klavis.ai)
[![Discord](https://img.shields.io/badge/Discord-Join-7289DA?logo=discord&logoColor=white)](https://discord.gg/p7TuTEcssn)

<a href="https://www.producthunt.com/products/strata-2?embed=true&utm_source=badge-top-post-badge&utm_medium=badge&utm_source=badge-strata&#0045;2" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/top-post-badge.svg?post_id=1016948&theme=light&period=daily&t=1758639605639" alt="Strata - One&#0032;MCP&#0032;server&#0032;for&#0032;AI&#0032;agents&#0032;to&#0032;handle&#0032;thousands&#0032;of&#0032;tools | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>

</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">
              <img src="https://img.shields.io/badge/Explore-Strata-blue?style=for-the-badge&logo=data:image/svg+xml;base64,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" height="40">
            </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">
              <img src="https://img.shields.io/badge/Explore-MCP%20Servers-purple?style=for-the-badge&logo=data:image/svg+xml;base64,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" height="40">
            </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">
              <img src="https://img.shields.io/badge/Explore-Sandbox-orange?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjQiIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQgNEgyMFY4TDE4IDEwTDIwIDE2VjIwSDRWMTZMNiAxMEw0IDhWNFoiIHN0cm9rZT0id2hpdGUiIHN0cm9rZS13aWR0aD0iMiIgc3Ryb2tlLWxpbmVjYXA9InJvdW5kIiBzdHJva2UtbGluZWpvaW49InJvdW5kIi8+CjxwYXRoIGQ9Ik00IDhIMjAiIHN0cm9rZT0id2hpdGUiIHN0cm9rZS13aWR0aD0iMiIvPgo8cGF0aCBkPSJNNCAxNkgyMCIgc3Ryb2tlPSJ3aGl0ZSIgc3Ryb2tlLXdpZHRoPSIyIi8+Cjwvc3ZnPg==" height="40">
            </a>
          </div>
        </div>
      </td>
    </tr>
  </table>
</div>

## Quick Start

### Option 1: Cloud-hosted - [klavis.ai](https://www.klavis.ai)

[Quickstart guide →](https://www.klavis.ai/docs/quickstart)

### 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

- 📖 [Documentation](https://www.klavis.ai/docs)
- 💬 [Discord Community](https://discord.gg/p7TuTEcssn)
- 🐛 [Report Issues](https://github.com/klavis-ai/klavis/issues)
- 🌐 [Klavis AI Website](https://www.klavis.ai)

---

<div align="center">
  <p><strong>Made with ❤️ by the Klavis Team</strong></p>
</div>
agentsaiai-agentsapideveloper-toolsdiscordfunction-callingintegrationllmmcpmcp-clientmcp-serveroauth2open-source

Lo que la gente pregunta sobre klavis

¿Qué es Klavis-AI/klavis?

+

Klavis-AI/klavis es mcp servers para el ecosistema de Claude AI. Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale Tiene 5.7k estrellas en GitHub y se actualizó por última vez 11d ago.

¿Cómo se instala klavis?

+

Puedes instalar klavis clonando el repositorio (https://github.com/Klavis-AI/klavis) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar Klavis-AI/klavis?

+

Nuestro agente de seguridad ha analizado Klavis-AI/klavis y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene Klavis-AI/klavis?

+

Klavis-AI/klavis es mantenido por Klavis-AI. La última actividad registrada en GitHub es de 11d ago, con 285 issues abiertos.

¿Hay alternativas a klavis?

+

Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.

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