広告掲載
MCP.so
ログイン

MCP Advisor注目

@istarwyh

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

istarwyh

投稿者

Yihui Wang

MCP Advisor について

MCP Advisor & Installation - Use the right MCP server for your needs

#mcp-advisor#model-context-protocol#ai-assistant

MCP Advisor の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcpadvisor": {
      "command": "npx",
      "args": [
        "-y",
        "@xiaohui-wang/mcpadvisor"
      ]
    }
  }
}

MCP Advisor のツール

2

此工具用于寻找合适且专业MCP服务器。 基于您的具体需求，从互联网资源库以及内部MCP库中筛选并推荐最适合的MCP服务器解决方案。 返回结果包含服务器名称、功能描述、所属类别，为您的业务成功提供精准技术支持。

此工具用于安装MCP服务器。 请告诉我您想要安装哪个 MCP 以及其 githubUrl,我将会告诉您如何安装对应的 MCP

概要

What is MCP Advisor?

MCP Advisor is a discovery and recommendation service that helps AI assistants explore Model Context Protocol (MCP) servers using natural language queries. It is designed for developers and users who need to find and leverage MCP tools for specific tasks.

How to use MCP Advisor?

Integrate MCP Advisor by adding its configuration to your AI assistant’s MCP settings file (e.g. claude_desktop_config.json) with npx -y @xiaohui-wang/mcpadvisor. Once configured, you can query it with prompts such as "Find MCP servers for insurance risk analysis". Alternatively, install via Smithery with npx -y @smithery/cli install @istarwyh/mcpadvisor --client claude.

Key features of MCP Advisor

  • Natural‑language discovery of MCP servers
  • Multiple search providers (Meilisearch, GetMCP, Compass, Nacos, Offline)
  • Hybrid search combining text matching and vector search
  • Supports Stdio, SSE, and REST transports
  • Optional local Meilisearch for improved recommendation quality
  • Installation of MCP servers via direct prompts

Use cases of MCP Advisor

  • Quickly find MCP servers for a domain (e.g., natural language processing)
  • Install and configure MCP servers from a GitHub URL using a chat prompt
  • Integrate MCP server discovery into AI assistants or agent workflows
  • Offline or local search for MCP servers using a local Meilisearch instance

よくある質問

1

What runtime does MCP Advisor require?

MCP Advisor runs via `npx`, so Node.js must be installed on the system. No additional runtime is required beyond the Node.js ecosystem.

2

Which search providers does MCP Advisor support?

It supports Meilisearch, GetMCP, Compass, Nacos, and an offline hybrid search provider that combines text matching and vector search.

3

Can I run MCP Advisor completely offline?

Yes, by starting a local Meilisearch instance with `pnpm meilisearch:start` and enabling it with the `--local-meilisearch` flag, you can use offline search without external APIs.

4

What transport methods are available?

Three transport methods are supported: Stdio (default for CLI), SSE (for web integration), and REST API endpoints.

5

Where does MCP Advisor store its data?

Search results are fetched from remote MCP registries (GetMCP, Compass) or from a local Meilisearch instance you configure. No data is stored persistently on your machine unless you run the local Meilisearch.

コメント

「その他」の他のコンテンツ

MCP Toolbox for Databases

googleapis

MCP Toolbox for Databases is an open source MCP server for databases.

15.9K

DeepMark

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

Klarix Intelligence Engine

Klarix

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

🚀 Model Context Protocol (MCP) Curriculum for Beginners

microsoft

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

16.7K
P

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

広告掲載