Browserbase MCP Server

Browserbase MCP Server

Provides cloud browser automation capabilities for AI agents, including creating, managing, and retrieving recordings and logs from browser sessions.

Category
Visit Server

README

Browserbase MCP Server

A Type 3 DAuth MCP server for Browserbase API. Provides cloud browser automation capabilities for AI agents.

Features

  • Create Session — Launch a cloud browser instance
  • Get Session — Retrieve session details and debugging URL
  • List Sessions — View all active and recent sessions
  • Get Recording — Access session recordings
  • Get Logs — Retrieve browser console logs
  • End Session — Terminate a browser session

Authentication

This server uses Type 3 DAuth (Dedalus Auth) — your API key is encrypted client-side and decrypted in a secure Dedalus enclave.

Get Your Browserbase API Key

  1. Go to https://browserbase.com
  2. Sign up and get an API key
  3. Copy the key

Installation

git clone https://github.com/dedalus-labs/browserbase-mcp.git
cd browserbase-mcp
pip install -e .
cp .env.example .env
# Edit .env and add BROWSERBASE_API_KEY

Available Tools

browserbase_create_session

Create a new browser automation session.

browserbase_create_session(
    project_id="optional-project-id",
    headless=True,
    browser="chrome",
)

browserbase_get_session

Get details of a browser session.

browserbase_get_session(
    session_id="session-id-here",
)

browserbase_list_sessions

List all browser sessions.

browserbase_list_sessions(
    limit=20,
    offset=0,
)

browserbase_get_session_recording

Get the recording of a browser session.

browserbase_get_session_recording(
    session_id="session-id-here",
)

browserbase_get_session_logs

Get logs from a browser session.

browserbase_get_session_logs(
    session_id="session-id-here",
)

browserbase_end_session

End a browser session.

browserbase_end_session(
    session_id="session-id-here",
)

Pricing

Browserbase offers pay-per-use pricing. Check https://browserbase.com/pricing for details.

Deploy to Dedalus

  1. Push to GitHub (public repo)
  2. Go to https://www.dedaluslabs.ai/dashboard
  3. Add Server → Connect GitHub repo
  4. Set BROWSERBASE_API_KEY as Required Credential
  5. Deploy

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured