MCP Advisor

Name: MCP Advisor
Author: istarwyh

@istarwyh

代码仓库

关于 MCP Advisor

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

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

基本信息

分类

其他

许可证

MIT

运行时

node

传输方式

stdio

发布者

istarwyh

提交者

Yihui Wang

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

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

概览

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

FAQ from MCP Advisor

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.

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.

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.

What transport methods are available?

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

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.

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