K
Klavis-AI/klavis
Platform for letting agents call tools reliably at scale
Apache-2.0 license
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Official descriptionLegacy Klavis AI MCP integrations. See klavis.ai for RL environments and training data.
Install & config
Remote endpoint (mcpServers - Claude Desktop / Cursor / Windsurf)
{
"mcpServers": {
"klavis-ai-klavis": {
"url": "https://strata.klavis.ai/mcp/"
}
}
}Paste this into the mcpServers config of Claude Desktop or Cursor. The endpoint comes from public evidence; we do not install or host it. Official Registry record: this endpoint lists no request headers. That is not the same as key-free - the project docs decide.
VS Code (.vscode/mcp.json - the key is servers, remote needs type: http)
{
"servers": {
"klavis-ai-klavis": {
"type": "http",
"url": "https://strata.klavis.ai/mcp/"
}
}
}VS Code differs from the other three: the top-level key is <code>servers</code> and a remote endpoint also needs <code>"type": "http"</code>. Paste into .vscode/mcp.json.
Claude Code (command line)
claude mcp add --transport http klavis-ai-klavis https://strata.klavis.ai/mcp/
Claude Code does not read a config file; add the server with this command.
Client config (built from the install command this repo gives)
{
"mcpServers": {
"klavis-ai-klavis": {
"command": "npx",
"args": ["@playwright/mcp@latest"]
}
}
}Parsed from the README we fetched on 2026-11-04; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"klavis-ai-klavis": {
"command": "npx",
"args": ["@playwright/mcp@latest"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio klavis-ai-klavis -- npx @playwright/mcp@latest
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 4 sources
- Score
- score 415 · 5,829 ★ · 4 sources · mcp
- Install
npx @playwright/mcp@latest
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx @playwright/mcp@latest. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals




## 🎯 Choose Your Solution
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Strata
Intelligent connectors for your AI agent, optimize context window
MCP Integrations
100+ prebuilt integrations out-of-the-box, with OAuth support
MCP Sandbox
scalable MCP environments for LLM training and RL
## 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(apikey="your-key")
# Create Strata instance
strata = klavisclient.mcpserver.createstrataserver(
userid="user123",
servers=[McpServerName.GMAIL, McpServerName.SLACK],
# Or use individual MCP servers
gmail = klavis.mcpserver.createserverinstance(
servername=McpServerName.GMAIL,
userid="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 '{
"userid": "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 '{
"servername": "GMAIL",
Intelligent connectors for your AI agent, optimize context window
MCP Integrations
100+ prebuilt integrations out-of-the-box, with OAuth support
MCP Sandbox
scalable MCP environments for LLM training and RL
## 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(apikey="your-key")
# Create Strata instance
strata = klavisclient.mcpserver.createstrataserver(
userid="user123",
servers=[McpServerName.GMAIL, McpServerName.SLACK],
# Or use individual MCP servers
gmail = klavis.mcpserver.createserverinstance(
servername=McpServerName.GMAIL,
userid="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 '{
"userid": "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 '{
"servername": "GMAIL",
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[](https://anclum.com/en/s/klavis-ai-klavis/)
- Source
- awesome · https://github.com/Klavis-AI/klavis
- Browse by field
- MCP servers
- Traction
- 5,829 ★
- Listed by
- 4 independent sources
- added
- today
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