Metaso Search MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Metaso Search MCP Server find recent papers on quantum computing"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Metaso Search MCP Server | 秘塔搜索 MCP 服务器
MCP server for Metaso Search API, providing search and web reader tools over stdio.
基于秘塔搜索 API 的 MCP 服务器,通过 stdio 提供搜索与网页读取能力。
Features | 功能
metaso_search: multi-scope search (webpage,document,paper,image,video,podcast)metaso_reader: read webpage content inmarkdownorjsonnpm-ready package with CI/CD publish workflow
npxconfig generator for Cherry Studio / Cursor / Claude / generic MCP clients
Related MCP server: bocha-mcp
Install | 安装
From npm (recommended) | npm 安装(推荐)
npm install -g metaso-search-mcpFrom source | 源码安装
git clone https://github.com/SecretRichGarden/metasota-API-MCP.git
cd metasota-API-MCP
npm install
npm run buildMCP stdio Config | MCP 标准配置
ModelScope/Smithery style (command: npx, args: [package]):
{
"mcpServers": {
"metaso-search-mcp": {
"command": "npx",
"args": ["metaso-search-mcp"],
"env": {
"METASO_API_KEY": "mk-你的API密钥"
}
}
}
}Local deployment (built from source, run dist/index.js) template:
{
"mcpServers": {
"metaso-search-mcp-local": {
"command": "node",
"args": ["E:\\\\Development\\\\metasota-API-MCP\\\\dist\\\\index.js"],
"env": {
"METASO_API_KEY": "mk-your-api-key"
}
}
}
}macOS/Linux path example:
{
"mcpServers": {
"metaso-search-mcp-local": {
"command": "node",
"args": ["/path/to/metasota-API-MCP/dist/index.js"],
"env": {
"METASO_API_KEY": "mk-your-api-key"
}
}
}
}One-command Config Generator | 一键生成配置
Print config JSON:
npx -y -p metaso-search-mcp metaso-mcp-config --client generic --api-key mk-你的API密钥 --printWrite/merge into a target config file:
npx -y -p metaso-search-mcp metaso-mcp-config --client cherry --api-key mk-你的API密钥 --output ./mcp-config.jsonNotes:
--outputwill merge into existingmcpServersinstead of overwriting all servers.Default server key is
metaso-search-mcp; change with--server-name.
API Key & Env Parameters | API Key 与环境变量
Required | 必填:
METASO_API_KEY: Metaso API key / 秘塔 API 密钥
Optional | 可选:
METASO_BASE_URL(default:https://metaso.cn/api/v1)METASO_TIMEOUT(default:60000)METASO_DEFAULT_SEARCH_SCOPE(webpage|document|paper|image|video|podcast)METASO_DEFAULT_SEARCH_SIZE(1-100, default10)METASO_DEFAULT_INCLUDE_SUMMARY(true|false)METASO_DEFAULT_INCLUDE_RAW_CONTENT(true|false)METASO_DEFAULT_CONCISE_SNIPPET(true|false)METASO_DEFAULT_READER_FORMAT(markdown|json)
Local env setup:
cp .env.example .env
# then edit .env and fill METASO_API_KEYnpm Scripts | 脚本
npm run typecheck
npm run build
npm run rebuild
npm run release:check
npm run pack:dry
npm run pack:localAuto Publish to npm (GitHub Actions) | 自动发布 npm
Workflow: .github/workflows/release-npm.yml
Add repository secret
NPM_TOKENin GitHub Actions secrets.Push a version tag:
git tag v1.0.1
git push origin v1.0.1Platform Publishing Docs | 平台发布文档
See docs/PLATFORM_PUBLISHING.md for:
Smithery submission checklist
ModelScope (魔塔社区) submission checklist
npx stdio config snippet for platform pages
License
MIT
Available Tools
2 toolsmetaso_readerA
读取指定URL的网页内容并转换为结构化格式。
支持的输出格式:
markdown: 返回Markdown格式的网页内容 (默认)
json: 返回JSON格式,包含标题、URL、内容等结构化信息
适用场景:
提取新闻文章内容
获取网页正文
将网页转换为可读格式
Inputs: url (required), format.
metaso_searchA
使用秘塔AI搜索进行多维度搜索。
支持的搜索范围 (scope):
webpage: 网页搜索 (默认)
document: 文库搜索
paper: 学术论文搜索
image: 图片搜索
video: 视频搜索
podcast: 播客/博客搜索
特色功能:
includeSummary: 通过网页摘要增强召回
includeRawContent: 抓取来源网页原文
conciseSnippet: 返回精简的原文匹配信息
Inputs: q (required), size, scope, conciseSnippet, +2 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one performs searches across multiple scopes, and the other reads and converts a specific URL. There is no ambiguity between them.
Both tools follow the same 'metaso_' prefix and use underscore-separated lowercase words. The naming pattern is consistent and predictable.
With only two tools, the set is at the low end of acceptable. For a search-and-read server, the minimalism is defensible, but it feels slightly thin compared to a typical well-scoped server.
The search tool covers diverse scopes (web, documents, papers, images, videos, podcasts) and the reader handles URL content extraction. Together they cover the core search-and-read pipeline, though advanced features like search history or saved results are missing.
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