Skip to main content
Prerequisites Before you begin, create an account and get your API Key.

​
Getting started

Connect to Brave Search to perform comprehensive web searches, including web results, images, news, and videos through AI agents.
  • API
  • UI
  • Open Source
1

Install the SDKs (optional)

pip install klavis
2

Create a Strata MCP Server with Brave Search

from klavis import Klavis
from klavis.types import McpServerName

klavis_client = Klavis(api_key="YOUR_API_KEY")

# Create a Strata MCP server with Brave Search
response = klavis_client.mcp_server.create_strata_server(
    servers=[McpServerName.BRAVE_SEARCH],
    user_id="user123"
)

API Reference

Full Strata API endpoints
3

Authenticate with API Key

klavis_client.mcp_server.set_strata_auth(
    strata_id=response.strata_id,
    server_name=McpServerName.BRAVE_SEARCH,
    auth_data={
        "api_key": "YOUR_BRAVE_SEARCH_API_KEY"
    }
)
🎉 Your Brave Search MCP Server is ready! Once authentication is complete, you can use your MCP server URL with any MCP-compatible client.

​
Available Tools

Tool NameDescription
brave_web_searchPerform a Brave web search with rich filtering and personalization options including country, language, safesearch, and pagination
brave_image_searchSearch for images on Brave with support for safesearch filtering, language and country localization, and pagination
brave_news_searchSearch for news articles with safesearch filtering, language and country localization, pagination, and freshness filter to get recent news
brave_video_searchSearch for videos with safesearch filtering, language and country localization, pagination, and freshness filter to get recent videos
For more details about tool input schema, use the get_tools API.

​
Next Steps

AI Platform Integrations

Integrate Klavis MCP Servers with leading AI platforms

Integrations

Explore available MCP servers

API Reference

REST endpoints and schemas

White-label Authentication

Customize OAuth flows with your own branding
⌘I