Build MCP servers, which expose tools and data to AI agents, with mcp-use. The material covers server functions, reusable prompts, and interactive React widgets, but this skill is deprecated and points to mcp-app-builder as its replacement.
中文简介正在准备中。当前显示英语简介。
DEPRECATED: This skill has been replaced by `mcp-app-builder`. Check if `mcp-app-builder` is available in the skills folder. If not, install it: `npx skills install mcp-use/mcp-use --skill mcp-app-builder` Use `mcp-app-builder` instead of this skill. Build Model Context Protocol (MCP) servers with mcp-use framework. Use when creating MCP servers, defining tools/resources/prompts, working with mcp-use, bootstrapping MCP projects, or when user mentions MCP development, tools, resources, or prompts.
安装前可以查看交给 AI 代理的指令内容。
Build production-ready MCP servers with tools, resources, prompts, and interactive widgets using mcp-use.
Decompose user requests into tools, widgets, and resources. Decide what needs UI vs text.
Read design-and-architecture.md: when planning what to build, deciding tool vs widget, or designing UX flows.
server.tool(), server.resource(), server.prompt() coderesources/ folderimport {
MCPServer,
text,
object,
markdown,
html,
image,
widget,
error,
} from "mcp-use/server";
import { z } from "zod";
const server = new MCPServer({ name: "my-server", version: "1.0.0" });
// Tool
server.tool(
{
name: "my-tool",
description: "...",
schema: z.object({ param: z.string().describe("...") }),
},
async ({ param }) => text("result"),
);
// Resource
server.resource(
{ uri: "config://settings", name: "Settings", mimeType: "application/json" },
async () => object({ key: "value" }),
);
// Prompt
server.prompt(
{
name: "my-prompt",
description: "...",
schema: z.object({ topic: z.string() }),
},
async ({ topic }) => text(`Write about ${topic}`),
);
server.listen();
Response helpers: text(), object(), markdown(), html(), image(), audio(), binary(), error(), mix(), widget()
Server methods: server.tool(), server.resource(), server.resourceTemplate(), server.prompt(), server.listen()
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Set up an agent that replies in Slack or Microsoft Teams using CopilotKit's guided CLI workflow. It covers project preparation, agent creation, channel configuration, a persistent host process, and verification with a real message.
中文简介正在准备中。当前显示英语简介。
Guides development of ChatGPT apps with interactive widgets using mcp-use and OpenAI Apps SDK, covering server tools, React interfaces, and shared state. This skill is deprecated and directs users to mcp-app-builder.
中文简介正在准备中。当前显示英语简介。
Helps integrate CopilotKit into an app by consulting current documentation and source code. Covers chat interfaces, agent connections, shared state, and troubleshooting, with guidance on checking configuration and avoiding incompatible API versions.
中文简介正在准备中。当前显示英语简介。
Implement and customize managed CopilotKit Channels so agents can reply in Slack or Microsoft Teams. It covers channel handlers, persistent runtime connections, Teams setup, and checks for silent failures such as missing permissions or incompatible package versions.
中文简介正在准备中。当前显示英语简介。
Use the CopilotKit CLI to check app connections, credentials, and agent responses before investigating code. It also guides project creation, integration into existing apps, hosted project selection, typed agent identifier generation, and thread history imports.
中文简介正在准备中。当前显示英语简介。
Keeps CopilotKit documentation aligned with released Inspector panels, the views shown in its local web overlay. It updates reader guidance and panel mappings when panels change, and checks quickstart instructions against supported platforms.
中文简介正在准备中。当前显示英语简介。