“mcp-server”的搜索结果

Plan safe refactors using blast radius and dependency mapping

中文简介正在准备中。当前显示原文说明。

Use when the user wants to rename, extract, split, move, or restructure code safely. Examples: "Rename this function", "Extract this into a module", "Refactor this class", "Move this to a separate file"

中文简介正在准备中。当前显示原文说明。

Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow"

中文简介正在准备中。当前显示原文说明。

Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: "Why is X failing?", "Where does this error come from?", "Trace this bug"

中文简介正在准备中。当前显示原文说明。

Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"

中文简介正在准备中。当前显示原文说明。

Build or update the code review knowledge graph. Run this first to initialize, or let hooks keep it updated automatically.

中文简介正在准备中。当前显示原文说明。

Review a PR or branch diff using the knowledge graph for full structural context. Outputs a structured review with blast-radius analysis.

中文简介正在准备中。当前显示原文说明。

Generate images using nano-banana-2 MCP tools with best-practice prompting. Use this skill when the user asks to create, generate, or edit images.

中文简介正在准备中。当前显示原文说明。

Review only changes since last commit using impact analysis. Token-efficient delta review with automatic blast-radius detection.

中文简介正在准备中。当前显示原文说明。

通过Nutrient DWS API转换和加工PDF、Office文档及图像，提取文字与表格，识别扫描文字，并处理敏感信息遮盖、数字签名和表单填写。

• 将Office文档或HTML转为PDF
• 让扫描文档支持文字搜索
• 将PDF表格提取到Excel

帮助构建和维护MCP服务器，让AI助手调用外部操作、读取数据并使用指令模板，涵盖Node/TypeScript功能注册、输入验证、本地与远程通信选择及故障排查。

• 为AI助手构建MCP服务器
• 添加操作、数据和指令模板
• 选择本地与远程连接方式

Guides agents in choosing Cherry Studio tools for research, document conversion, memory, notifications, and other tasks. It explains when to use app tools or local runtimes, with checks for availability, configuration, and approval.

中文简介正在准备中。当前显示英语简介。

• Choose the right Cherry Studio tool for a task
• Read or convert local Office and PDF files
• Set up scheduled tasks and notifications

Add interactive panels to an MCP server so users can select records, view charts, or follow progress inside a conversation. The skill guides tool connections, interface implementation, sandbox restrictions, and testing in hosts that support these panels.

中文简介正在准备中。当前显示英语简介。

• Build a searchable contact or file picker
• Display charts and previews inside a conversation
• Show live progress for a long-running job

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.

中文简介正在准备中。当前显示英语简介。

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

Generate a PHP server for MCP, a protocol that lets AI applications access tools and data. Build a project with the official PHP SDK, including requested capabilities, configuration files, PHPUnit tests, and setup documentation.

中文简介正在准备中。当前显示英语简介。

• Build a PHP MCP server for file operations
• Expose configuration and data to AI applications
• Provide reusable code review prompts

Create a Kotlin MCP server, which connects AI agents to external tools, using the official SDK. Generate a Gradle project with tool implementations, input validation, configuration, basic tests, and setup documentation.

中文简介正在准备中。当前显示英语简介。

• Start a Kotlin MCP server project
• Expose custom tools to AI agents
• Set up stdio or SSE transport

Build a Java MCP server, a service that lets AI agents call Java code, APIs, or databases. The skill prepares a Maven or Gradle project, implements tools, adds tests, and configures client connections.

中文简介正在准备中。当前显示英语简介。

• Expose existing Java code to AI agents
• Connect agents to APIs or databases
• Build an MCP server in Spring Boot

Create a Go server for MCP, a protocol that connects AI agents to tools and data. Generate a structured project using the official SDK, with typed tools, configuration, error handling, tests, and setup documentation.

中文简介正在准备中。当前显示英语简介。

• Start a Go MCP server project
• Implement tools with typed inputs and outputs
• Add input validation and cancellation handling

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.

中文简介正在准备中。当前显示英语简介。

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

Create and customize Qwen Code extensions using templates for context, commands, skills, agents, and MCP servers that connect external tools. Validate configuration and referenced files, review executable behavior, and prepare the extension for local testing.

中文简介正在准备中。当前显示英语简介。

• Creating a Qwen Code extension from a template
• Packaging custom commands and skills in an extension
• Adding MCP servers or other extension integrations

Turn an OpenAPI specification into starter code for an MCP server, which connects AI agents to API tools. Support Python or TypeScript implementations, validate tool definitions, and plan changes that preserve compatibility.

中文简介正在准备中。当前显示英语简介。

• Exposing an existing REST API to an AI agent
• Creating a Python or TypeScript MCP server scaffold
• Checking tool definitions before integration tests

Expose REST APIs as tools for AI agents through Google Cloud API Gateway using MCP, a protocol for connecting agents to tools. Covers OpenAPI migration, authentication, client connections, validation, and troubleshooting.

中文简介正在准备中。当前显示英语简介。

• Expose existing REST APIs as agent tools
• Migrate OpenAPI 2.0 specifications for MCP
• Protect tool listings with JWTs or API keys

Diagnose why an AI agent skips tools, passes incorrect arguments, or repeats calls. Get guidance on tool descriptions, schemas that define accepted inputs, execution flow, and mock tests before connecting to a real model.

中文简介正在准备中。当前显示英语简介。

• Finding why an agent never calls a tool
• Fixing incorrect or missing tool arguments
• Investigating repeated calls or skipped steps

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.

中文简介正在准备中。当前显示英语简介。

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