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safari-mcp — MCP server | AgentStack

MCP servers/Automation/safari-mcp

s

MCP server Indexed source

safari-mcp

Popularity

1.6K

Forks

—

Quality

In review

Freshness

Synced yesterday

What it does

Built for Automation workflows.

Safari-MCP enables AI agents to automate Safari browser tasks on macOS using AppleScript and JavaScript without Chrome overhead.

MCP connection profile

Protocol

Model Context Protocol

Purpose

Connects automation capabilities to an MCP client.

Keep exploring

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Works with

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Agent compatibility

MCP client support

Protocol-compatible

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MCP client support

Protocol-compatible

This server uses MCP, and these clients support MCP. Confirm its transport, authentication, and install steps with the publisher before use.

Server setup

Connect this MCP server

npx -y safari-mcp

Use the configuration and transport documented by the server publisher; MCP setup differs between clients.

Best fit

safari-mcp is organized in the Automation category. Compare its source, install method, and compatibility before adding it to your workflow.

Before you install

Third-party agent tools may access source code, credentials, or browser sessions. Read the source documentation and use the minimum permissions needed.

Available install methods

Quick installnpx -y safari-mcp

Topics

safarimcpmcp-servermodel-context-protocolbrowser-automationmacosapplewebkitclaudecursorai-agentapplescript

Category

Listing type

MCP server

Source

npm package

Record health

Synced yesterday

License

MIT

Latest version

2.15.12

Know this tool?

Help keep this record useful by submitting an update or correction.

Suggest an update →

Community listing

Agent-native CLI for AI app automation across iOS, Android, tvOS, Android TV, macOS, Linux, and web.

131KOpen →

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comfyui-mcp

Community listing

Local-first, agent-native control plane for ComfyUI — MCP server + autonomous sidebar agent that drives your live graph in natural language on ANY LLM: Claude/ChatGPT/Gemini on your subscription (no API key), free local models via Ollama (fully offline),

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io.github.D4Vinci

Web scraping with stealth HTTP, real browsers, and Cloudflare bypass. CSS selectors supported.