How to Use the Browserbase MCP in LlamaIndex
Index live web data from Browserbase directly into your LlamaIndex knowledge base.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Browserbase MCP to LlamaIndex
Create your Vinkius account to connect Browserbase to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate web navigation for LlamaIndex
Use `create_browser_session` to open the web. The output gives you a direct link to control the browser from your LlamaIndex agents. This lets you feed live DOM data into your vector store. Your index stays current because the agent pulls fresh information every time it runs a query.
Track Browserbase sessions in LlamaIndex
Use `list_browser_sessions` to review what the agent has been doing. It returns a list of sessions, which you can then sort by status. This helps you audit which sessions provided data for your index. You can identify errors quickly if a specific run fails to return expected content.
Clean up browser resources with LlamaIndex
Call `stop_browser_session` to end the connection when the data collection is done. This keeps your account clean and prevents orphaned sessions. LlamaIndex treats this as just another function call. It executes at the end of your pipeline to ensure the remote environment shuts down properly.
Set up Browserbase MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Browserbase MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Browserbase tools.",
)
response = await agent.run("List recent Browserbase data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Browserbase. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Browserbase MCP in LlamaIndex
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