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13 个#structured-data MCP 服务器和客户端

以下 MCP 服务器和客户端均标记为 #structured-data——安装后即可让 Claude、Cursor、VS Code 等支持 MCP 的客户端获得 structured-data 相关能力。

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Bright Data MCP

luminati-io

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

创建于 去年

Bright Data MCP

brightdata

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

创建于 去年

Bright Data MCP

brightdata-com

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

创建于 去年

Fastcrw

us

Fast, lightweight Firecrawl/Tavily alternative in Rust. Web scraper, crawler & search API with MCP server for AI agents. Drop-in Firecrawl-compatible API (/scrape, /crawl, /search). 2.3x faster than Tavily, 1.5x faster than Firecrawl in 1K-URL benchmarks. 6 MB RAM, single binary.

创建于 3个月前
SA

SEO Audit MCP Server

glivera

Professional SEO auditing MCP server with 14 tools and 9 specialist agents. Quick audits, deep multi-agent analysis, Core Web Vitals, E-E-A-T scoring, schema validation, local SEO, GEO/AI readiness, and site crawling. Free tier available.

创建于 2个月前
S

Shopgraph

laundromatic

AI shopping agents need structured product data to compare prices, check availability, and make decisions. Shopify Catalog covers Shopify merchants. Google UCP covers Google Shopping. ShopGraph covers everything else — the DTC brands, independent retailers, and niche suppliers th

创建于 4个月前

Quorel - Web Data MCP

var-raphael

Quorel turns any public website into a versioned, queryable API. Define a schema once in plain English, and Quorel extracts, structures, and refreshes the data nightly, full version history, diffs, and rollback included. The MCP server lets Claude or any agent browse datasets, qu

创建于 11天前
E

Extrapify

christ0pper

Structured web context infrastructure for AI agents. Extract schema-guided structured JSON from websites using Claude-powered parsing and MCP-native workflows.

创建于 2个月前
E

Extracto

massanaRoger

Turn any URL plus a schema into validated, typed JSON via the Extracto API.

创建于 上个月

Suparse

suparse

Extract structured data from PDFs and documents with Suparse AI OCR.

创建于 上个月

Talonic

talonicdev

Extract structured, schema-validated data from PDFs, scans, images, spreadsheets, and forms. Lets AI agents pull clean JSON out of any document via the Model Context Protocol.

创建于 2个月前

Sifter - Turn a folder of documents into typed records you can query

sifter-ai

Sifter extracts structured, typed records from your documents (PDFs, scans, contracts, invoices) using a natural-language field spec, then lets an agent query and aggregate them — exact counts, sums, filters, with citations back to the source page. Unlike RAG, it answers collecti

创建于 上个月
V

Voidfeed

voidfeedai-ops

Structured knowledge API for AI agents — fractal knowledge graphs, signal datasets, authority evidence reviews, open problems, and capability specs. Pay-per-query or subscription via Lightning, Stripe, or USDC.

创建于 2个月前

常见问题

关于 #structured-data 标签下 MCP 服务器和客户端的常见问题

1

什么是 #structured-data MCP 服务器?

标记为 #structured-data 的 MCP 服务器实现了 Model Context Protocol,让 Claude、Cursor、VS Code 等 AI 助手可以访问 structured-data 相关的工具、数据或 API。

2

标记为 #structured-data 的 MCP 服务器和客户端有多少个?

mcp.so 目前收录了 13 个标记为 #structured-data 的 MCP 服务器和客户端。

3

如何安装 #structured-data MCP 服务器?

打开下方任意服务器页面,将安装配置复制到 Claude Desktop、Cursor、VS Code 或其他 MCP 客户端的配置中即可——远程服务器无需单独下载。