'mcp' 검색 결과

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an MCP server's tools and data resources
• Implementing reusable prompts and response formats
• Adding interactive React widgets to an MCP server

A deprecated guide to building MCP servers with mcp-use, covering callable actions, data resources, reusable prompts, and interactive widgets. It includes design references and code examples, and directs users to the replacement skill, mcp-app-builder.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review the structure of an existing mcp-use server
• Consult examples of tools, resources, and prompts
• Explore interactive widget design

AI 에이전트와 외부 도구를 잇는 MCP 서버를 명령으로 관리합니다. 서버 목록, 도구 입출력 규격, 연결 설정과 인증을 확인하고 도구를 호출합니다.

• MCP 도구와 인수 규격을 확인합니다
• MCP 연결을 설정하고 인증합니다
• JSON 인수로 도구를 호출합니다

Build MCP servers that let AI access actions and data using mcp-use. The guide covers project setup, reusable prompts, interactive React interfaces, authentication, error handling, and deployment, with reference files for each area.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a new MCP server with mcp-use
• Add actions, data resources, or reusable prompts
• Build interactive React interfaces for browsing and selection

Package a local MCP server, which connects an AI host to tools, as a .mcpb file. Include dependencies and runtime support, define installation settings, and validate, test, and sign the bundle for distribution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Package a local MCP server for distribution
• Offer installation without Node or Python setup
• Define folder selection and other installation settings

Guides development of MCP servers that let AI access external actions and data using mcp-use. Covers project setup, tools, reusable prompts, interactive React interfaces, authentication, validation, and deployment through task-specific reference guides.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting an MCP server project with mcp-use
• Adding tools and read-only data resources
• Building interactive React widgets

Build and maintain TypeScript MCP servers that connect AI to tools, plus interactive MCP Apps, using mcp-use. The skill guides implementation, authentication, migration, and verification based on the package version and types installed in the project.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a TypeScript MCP server project
• Adding interactive Views to MCP Apps
• Reviewing OAuth authentication and permissions

Build and maintain TypeScript MCP servers that connect AI to tools, plus interactive MCP Apps, using mcp-use. The skill guides implementation, authentication, migration, and verification based on the package version and types installed in the project.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a TypeScript MCP server project
• Adding interactive Views to MCP Apps
• Reviewing OAuth authentication and permissions

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a ChatGPT app with interactive widgets
• Implement MCP server tools and React widgets
• Manage widget state and context shared with ChatGPT

Build and maintain TypeScript MCP servers and MCP Apps with mcp-use, giving AI assistants tools and interactive views. Guides implementation, authentication, debugging, migration, review, and verification against the package version installed in the project.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an MCP server with tools and prompts
• Add interactive React views to an MCP App
• Migrate existing code to the installed mcp-use version

Review MCP configurations for exposed credentials, risky command patterns, and package versions that can change unexpectedly. Produce a report with severity levels and suggested fixes without running the commands defined in the configuration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing .mcp.json before committing changes
• Checking a new MCP server before adoption
• Finding hardcoded credentials in configurations

Build and troubleshoot C#/.NET MCP servers that expose tools and information to AI agents. Guidance targets the official 2.x SDK and covers transport setup, authentication, interactive features, basic clients, and migration issues caused by changed defaults.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a C#/.NET MCP server
• Add tools, prompts, and resources
• Diagnose STDIO and HTTP connection errors

MCP 서버를 실행하지 않고 설정을 읽어 승인 후에도 다른 코드를 가져올 수 있는 참조를 확인합니다. npm, Python, Docker의 버전 지정을 분류합니다.

• 승인 전에 MCP 설정을 검토합니다
• latest 태그와 버전 범위를 확인합니다
• CI에 재현 가능한 설정 검사를 추가합니다

Turn an OpenAPI or Swagger specification into an MCP server, a bridge that lets AI assistants call an API. Covers tool generation, authentication, local testing, and deployment to mcp-use cloud.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Make an internal API callable from Claude
• Generate MCP tools from a Swagger specification
• Test API calls locally before cloud deployment

Connect external services to Claude Code plugins through MCP, a protocol that exposes service functions as tools. Get guidance on server configuration, connection methods, authentication, tool permissions, and testing connections and tool calls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a local MCP server to a plugin
• Configuring authentication for a hosted service
• Using multiple services in commands and agents

Audit MCP servers, which provide external tools to AI agents, for hidden instructions, changes after approval, unsafe internal requests, and missing authentication. Use mcp-scan and manual checks to document risks and recommended fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing an MCP server before adding it to an agent
• Auditing an internally developed MCP server
• Checking approved tools for unexpected changes

Build MCP servers, connectors that let AI models use external services through tools. This skill guides API research, tool design, implementation in TypeScript or Python, testing, and evaluation with realistic questions that require multiple tool calls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting an external API to an AI agent
• Building an MCP server in TypeScript or Python
• Improving tool descriptions, inputs, and error messages

Configure MCP connections, which link AI agents to tools, for AWS documentation search and API access. Check existing settings, choose between documentation-only and full API access, verify available tools, and troubleshoot connection or credential problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up AWS documentation search for an AI agent
• Configure an MCP connection for AWS API access
• Check existing AWS MCP settings

Plan and build an MCP server, a connection that lets Claude use external tools. Choose hosting, tool structure, authentication, and a framework, then scaffold a server or hand off to specialized packaging and interface skills.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connect a cloud API to Claude
• Choose how to run and distribute an MCP server
• Organize tools for an API with many actions

Build remote MCP servers, which let AI agents call external tools, on Cloudflare Workers. This skill covers server code, tool definitions, OAuth authentication, local testing, deployment, and connecting a Codex client.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a remote MCP server
• Adding OAuth authentication to MCP tools
• Exposing external APIs as tools for AI agents

Build MCP servers, which give AI agents tools for external services, using Python or TypeScript. The skill guides tool design, input validation, error handling, code review, and evaluations based on realistic tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an MCP server for an external API
• Design tools around complete agent workflows
• Review input validation and error handling

Review source code for MCP, a protocol connecting AI applications to tools. Check authentication, input validation, unsafe execution, and other security risks, then report findings with file and line references and separate manual follow-ups.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing an MCP server before release
• Checking authentication and validation on a network-exposed server
• Auditing tool code for unsafe execution paths

Plan how an AI agent should interact with Zoom through MCP, a protocol for calling tools. Assess task suitability, divide responsibilities between MCP and REST APIs, and identify connection, authentication, and client requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing whether MCP fits a Zoom task
• Dividing work between MCP and REST APIs
• Planning a Zoom Whiteboard workflow

Build MCP servers, which give AI agents tools for external services, using Python or TypeScript. The skill guides tool design, input validation, error handling, code review, and evaluations based on realistic tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an MCP server for an external API
• Design tools around complete agent workflows
• Review input validation and error handling