Simple MCP Walk Through

MCP简介

如今，软件通常受益于与LLM的集成。当你构建一个人工智能应用程序时，你可能希望它与外部服务进行交互——发送Slack消息、读取Google Drive文件、查询数据库。这些集成被称为“工具”

MCP解决的问题

在MCP之前，您必须为要连接的每个服务编写自定义集成代码。

MCP解决了这个问题。 如果服务提供MCP服务器，您的应用程序将免费获得集成。

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MCP之前

您编写此集成代码：

import { WebClient } from "@slack/web-api";

const slack = new WebClient(process.env.SLACK_TOKEN);

// Define tool for Claude
const slackTool = {
  name: "send_slack_message",
  description: "Send a message to Slack",
  input_schema: {
    type: "object",
    properties: {
      channel: { type: "string" },
      text: { type: "string" }
    }
  }
};

const response = await anthropic.messages.create({
  model: "claude-3-5-sonnet-20241022",
  tools: [slackTool],
  messages: [{ role: "user", content: "Send 'Hello' to #general" }]
});

// Handle the tool call yourself
if (response.stop_reason === "tool_use") {
  const toolUse = response.content.find(c => c.type === "tool_use");

  // You write the Slack integration logic
  await slack.chat.postMessage({
    channel: toolUse.input.channel,
    text: toolUse.input.text
  });
}

// Now repeat this for Google Drive...
// And again for your database...
// And again for every service...

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使用MCP

Slack提供服务器，您只需使用它：

import { Client } from "@modelcontextprotocol/sdk/client";

// Connect to Slack's MCP server (they wrote the integration)
const mcp = new Client();
await mcp.connect(slackMCPServer);

// Get tools automatically
const tools = await mcp.listTools();

const response = await anthropic.messages.create({
  model: "claude-3-5-sonnet-20241022",
  tools: tools, // Slack tools ready to use
  messages: [{ role: "user", content: "Send 'Hello' to #general" }]
});

// Standard tool call - MCP handles Slack API for you
if (response.stop_reason === "tool_use") {
  const toolUse = response.content.find(c => c.type === "tool_use");

  await mcp.callTool({
    name: toolUse.name,
    arguments: toolUse.input
  });
  // MCP server does the actual Slack API call
}

// Add Drive? Just connect another MCP server, same code pattern
// Add database? Same thing

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关键要点

对于支持MCP的工具，您不必编写API集成。您不定义工具模式。您只需连接并使用该工具。

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建筑

MCP Architecture

查看交互式演练