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Agent Skill · 研究检索

mcp-expert(MCP expert 搜索)

mcp-expert 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

mcp-expert 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 44,297。

总安装 924周安装 37GitHub Stars 10下载 299核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mcp-expert(MCP expert 搜索)
来源仓库:https://github.com/oakoss/agent-skills
仓库路径:skills/mcp-expert
安装命令:
npx skills add https://github.com/oakoss/agent-skills --skill mcp-expert
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/oakoss/agent-skills --skill mcp-expert

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

mcp-expert 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

适用于研究检索类 Agent 工作流,尤其关注 MCP 工具集成与搜索场景。mcp-expert 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/mcp-expert

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/oakoss/agent-skills --skill mcp-expert;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

mcp-expert 怎么安装?

在终端执行 npx skills add https://github.com/oakoss/agent-skills --skill mcp-expert。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

mcp-expert 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

mcp-expert 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

mcp-expert 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

mcp-expert 用的人多吗?

公开数据是累计安装 924 次,近一周安装 37 次,下载 299 次,GitHub 10 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

mcp-expert 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
mcp-expert

MCP expert 搜索 · 本页

92410接触敏感数据未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

MCP Expert

Overview

Definitive resource for building and managing Model Context Protocol ecosystems. Covers the full lifecycle from server development and transport configuration to security, elicitation, and async task execution. Designs agent-first tool interfaces that minimize token usage and maximize LLM accuracy.

When to use: Building MCP servers, designing tool interfaces, configuring transports (Stdio/Streamable HTTP), implementing OAuth 2.1, troubleshooting connectivity, using elicitation for server-initiated user interaction.

When NOT to use: Application-level business logic, non-MCP API design, frontend UI components, general HTTP API development unrelated to MCP.

Quick Reference

PatternAPI/ApproachKey Points
Outcome-oriented toolsSingle-call operationsAvoid chatty multi-step APIs
Argument flatteningFlat Zod schemas with descriptionsReduce model hallucination
Progressive disclosureReturn mcp:// URIs for large dataAgent reads partially via resources/read
Retryable toolsReturn retry_with suggestionsHelp LLM self-correct on bad inputs
Helpful errorsDescriptive strings with fix guidanceNever return raw exceptions or stack traces
Paginationhas_more + next_cursor metadata20-50 records per call maximum
Structured outputsJSON Schema in outputSchemaTyped tool results for programmatic consumption
Stdio transportLocal tools, stderr-only loggingNever write to stdout except JSON-RPC
Streamable HTTPRemote/cloud tools, single endpointReplaces deprecated SSE transport
OAuth 2.1 with PKCEEnterprise data accessMCP server is resource server, not auth server
ElicitationServer-initiated user inputFlat schema maps to forms, three response states
Async taskstasks/get, tasks/cancelLong-running operations return task handles
Capability scopesread:docs, write:code, admin:usersGranular permission boundaries
HITL gateconfirmation_required flagManual approval for destructive actions
URL elicitationSecure credential collectionRedirects user to browser for sensitive input
ExtensionsNamespaced capability negotiationOptional features without forking the spec
Sampling with toolsServer-initiated LLM requestsEnables server-side agent loops
MCP Inspectornpx @modelcontextprotocol/inspectorTest tools interactively without an LLM
Unit testingInMemoryTransport + VitestTest tool handlers with mock client
Evaluation frameworkSchema, error, pagination assertionsValidate tool quality for LLM consumption
Tool contract testingSchema field descriptions, edge casesEvery field described, optional params handled
CI smoke testsGitHub Actions + Inspector CLIAutomated build, test, and transport health check

Spec Versions

The current MCP specification is 2025-11-25. Key milestones:

  • 2025-03-26: Streamable HTTP transport (deprecated standalone SSE), tool annotations
  • 2025-06-18: Structured tool outputs, elicitation, OAuth auth server separation
  • 2025-11-25: Async tasks, extensions framework, sampling with tools, CIMD auth, server discovery

Onboarding Protocol

When an agent needs a new capability:

  1. Validation: Check if the required MCP server is already active
  2. Guide: If missing, provide the user with a direct installation path
  3. Config: Use uvx or npx for zero-install execution where possible

Common Mistakes

MistakeCorrect Pattern
Designing chatty APIs requiring many round-tripsBuild outcome-oriented tools that accomplish tasks in a single call
Logging to stdout breaking the Stdio transportLog only to stderr to keep the transport channel clean
Returning raw exceptions and stack traces to the LLMReturn helpful error strings with suggested corrections
Building monolithic servers with dozens of toolsKeep servers focused with 5-15 tools for discoverability and maintenance
Using deprecated HTTP+SSE transport for new serversUse Streamable HTTP for remote servers (single endpoint, optional SSE)
Hardcoding secrets in MCP server configurationUse environment variable mapping for all sensitive values
Returning large datasets in a single tool callUse pagination (20-50 records) or resource URIs for large data
Implementing auth server inside MCP serverMCP server acts as OAuth 2.1 resource server only, delegate auth externally
Vague tool descriptions causing LLM hallucinationAdd example usage and strict constraints to the tool description field
Synchronous blocking on long operationsReturn async task handles for operations exceeding timeout thresholds
Passing received tokens to upstream APIsValidate tokens locally; never forward to avoid confused deputy attacks
Requesting secrets through elicitationUse URL mode elicitation or dedicated OAuth flows for credential collection

MCP Primitives

MCP servers expose three core primitive types to clients:

  • Tools: Model-controlled actions the LLM invokes to accomplish tasks (function calling)
  • Resources: Application-controlled data exposed via mcp:// URIs that clients read on demand
  • Prompts: User-controlled templates that provide structured context for specific workflows

Servers declare which primitives they support during capability negotiation in the initialize handshake. The November 2025 spec adds Tasks as an experimental primitive for async execution.

Transport Selection

ScenarioTransportNotes
Local CLI toolsStdioFastest startup, no network overhead
Remote/cloud serversStreamable HTTPSingle endpoint, optional SSE streaming
Legacy remoteHTTP+SSEDeprecated since 2025-03-26, migrate to Streamable HTTP

Clients should support Stdio whenever possible. Streamable HTTP supports both stateless and stateful server implementations via optional Mcp-Session-Id headers.

Delegation

  • Discover and audit existing MCP server configurations: Use Explore agent to check active servers, verify connectivity, and identify missing capabilities
  • Build and deploy a new MCP server with validation and auth: Use Task agent to scaffold the server, implement Zod validation, and configure OAuth
  • Design MCP ecosystem architecture for multi-agent workflows: Use Plan agent to map tool boundaries, transport selection, and security scoping

References

平台分布

Codex

32.51%
按下载量换算97

Claude

30.62%
按下载量换算92

Cursor

18.37%
按下载量换算55

Gemini CLI

9.4%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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