Adding a custom MCP server to Claude and ChatGPT
Score
76提供了 MCP 在主流 AI 聊天界面中配置的实操指南，弥补了官方文档的不足。
逻辑清晰，步骤详实，代码和截图辅助验证，作者是知名技术博主，可信度高。
可直接按步骤操作，对希望定制 AI 助手的开发者和高级用户有直接帮助。
MCP 协议处于快速演进期，文章发布于近期，但协议本身仍可能快速变化。
Simon Willison 是 AI/Web 技术领域权威博主，内容经过其自身实践验证。
Base 84 × T2 Source weight ×0.9 = 76
Curation line 70Selected
Why selected
Highly practical with clear steps, timely filling a knowledge gap in the community about MCP configuration.
AI commentary
「This article is a must-read for every developer interested in AI extensibility. MCP is becoming the 'standard socket' for tool chains, and Willison shows in the most intuitive way how to plug in your own 'tool plug'. It is especially useful for users building workflows with Claude/ChatGPT—the methods here can be directly reused.」
Quick overview
Simon Willison shares a detailed guide on how to add custom MCP servers to the web chat UIs of Claude and ChatGPT. The Model Context Protocol (MCP) enables AI assistants to access external tools and data sources, but setup is not obvious. The author demonstrates the configuration process through hands-on examples and discusses the protocol's potential to extend AI capabilities.
- MCP allows AI models to call external tools, databases, and APIs, breaking free from the model's built-in knowledge.
- Both Claude's and ChatGPT's web chat UIs support MCP, but adding a custom server requires manual configuration.
- The author provides a complete tutorial from writing a server to enabling it in the chat interface.
- MCP enables developers to enhance AI assistants like adding plugins, greatly improving their practicality.
Full text
Showing the source text; the full translation is being generated.
TIL: Adding a custom MCP server to Claude and ChatGPT
Connecting a custom MCP server to Claude and ChatGPT's standard chat interfaces is possible, but can take quite a few steps.
Tags: ai, generative-ai, chatgpt, llms, claude, model-context-protocol
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