How to Install Brave Search MCP in OpenAI Agents SDK
Real-time web and local search using the Brave Search API — no tracking, no ads
What Brave Search MCP does
Give your AI agents access to real-time web search using Brave's privacy-focused search API. Unlike other search integrations, Brave Search delivers independent results without tracking or algorithmic bias. Features: - Real-time web search with rich snippets - Local business search with maps data - News search with recency filtering - Safe search controls - Supports up to 20 results per query - Works with Claude Desktop, Cursor, and any MCP-compatible client The Brave Search MCP is one of the most widely used search integrations in the MCP ecosystem, chosen by developers who want reliable web access without depending on Google's API. Requirements: - Free Brave Search API key (get at api.search.brave.com — 2,000 free queries/month)
Installation steps
- 1Install: pip install openai-agents
- 2Copy the snippet below into your agent code
- 3Replace placeholder env values with your real keys
- 4Pass mcp_servers=[mcp_server] to your Agent()
Python snippet
from agents import Agent
from agents.mcp import MCPServerStdio
mcp_server = MCPServerStdio(
command="npx",
args=["-y", "@modelcontextprotocol/server-brave-search"],
env={
"BRAVE_API_KEY": "BSA...",
},
)
agent = Agent(
name="My Agent",
model="gpt-4o",
mcp_servers=[mcp_server],
)Install in other clients
For maintainers
If you maintain Brave Search MCP, add this badge to your README to show it's verified on CuratedMCP:
[](https://curatedmcp.com/marketplace/brave-search-mcp)
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