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Snap Sense MCP Server

@Abhi5h3k

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

Abhi5h3k

提交者

Abhishek Bhardwaj

关于 Snap Sense MCP Server

Demo MCP tool to capture URL screenshot.

#snap-sense#mcp#screenshot-capture

Snap Sense MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "snap_sense": {
      "command": "uv",
      "args": [
        "--directory",
        "/ABSOLUTE/PATH/TO/PARENT/FOLDER/weather",
        "run",
        "server.py"
      ],
      "env": {
        "ABSTRACT_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Snap Sense MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Snap_sense?

Snap_sense is a lightweight Model Context Protocol (MCP) server that enables your LLM to capture screenshots of any specified URL and return only the access URL for the captured image. It is built with Python and the MCP SDK, designed for integrating visual capture capabilities into AI applications like Claude Desktop or automation workflows.

How to use Snap_sense?

Install via Smithery (npx -y @smithery/cli install @Abhi5h3k/MCP-URL2SNAP --client claude) or manually: clone the repository, set up a Python virtual environment (Python 3.11+, UV 0.6.9+), install dependencies with uv install, create a .env file with your ABSTRACT_API_KEY, and run uv run server.py. Register the server in Claude Desktop's claude_desktop_config.json using the uv command and restart Claude. Then prompt with requests like "can you show me the screenshot of https://example.com".

Key features of Snap_sense

  • Lightweight MCP server for capturing webpage screenshots
  • Returns only the access URL of the captured image
  • Seamless integration with MCP-compatible LLMs
  • Easy setup with Python and the MCP SDK
  • Configurable via environment variable (AbstractAPI key)

Use cases of Snap_sense

  • Enabling AI assistants like Claude Desktop to capture and share webpage snapshots on demand
  • Automating screenshot generation for website monitoring or reporting workflows
  • Integrating visual capture into custom MCP-based automation pipelines

常见问题

1

What dependencies are required to run Snap_sense?

The server requires Python 3.11.0 or higher and UV 0.6.9 or higher. All other dependencies are installed automatically via UV.

2

How is the screenshot captured and stored?

Snap_sense uses the AbstractAPI Screenshot API (accessed via your `ABSTRACT_API_KEY`) to capture the screenshot. The server returns only the access URL for the hosted image; the image itself is stored by AbstractAPI.

3

What transport and authentication does Snap_sense use?

The server communicates via the MCP protocol over standard I/O (stdio). Authentication to the screenshot service is provided through the `ABSTRACT_API_KEY` environment variable.

4

Can Snap_sense be used with any MCP-compatible client?

Yes, the README demonstrates integration with Claude Desktop via the `claude_desktop_config.json` file, and the server is designed to work with any MCP-compatible LLM or client that supports the protocol.

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