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Computer Vision Tools

展示计算机视觉工具与语言模型通过MCP的集成

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README

🚀 cv - mcp - tools

本仓库展示了如何通过MCP集成专业化计算机视觉工具与语言模型,为相关领域的开发和应用提供了有效的解决方案,具有较高的实用价值。

🚀 快速开始

本仓库致力于展示借助MCP达成专业化计算机视觉工具与语言模型的集成。通过查看仓库内的代码和文档,你可以了解具体的集成方法和实现思路。

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Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client