"How to scrape data from websites into JSON" matching MCP servers:

A memory-efficient MCP server for analyzing large JSON files with streaming, querying, schema detection, and chunk processing.

Lets agents and CLI users inspect the shape of large JSON and JSONL files and extract exactly the values they need using jq-like expressions, returning compact bounded results instead of flooding context.

MCP server for reading, querying, and filtering local JSON files with extended JSONPath syntax, supporting sorting, aggregations, and complex conditions.

An educational MCP server that wraps the Materials Project API, exposing tools to search chemical systems, get material summaries, find semiconductors by band gap, and retrieve crystal structure facts.

The only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in the MCP ecosystem. Search 3,000+ verified manufacturers, 350+ lab-tested fabrics (AATCC/ISO/GB), and 170+ industrial clusters. Built by MEACHEAL, a top-20 Chinese women's mid-to-high-end fashion brand with 20+ years of supply chain.

MCP server that profiles local data files (CSV, Parquet, JSON, Excel) and returns compact structured summaries with data-quality flags, enabling AI agents to understand datasets without seeing raw rows.

Enables LLMs to profile and analyze tabular data files (CSV, Parquet, Excel, JSON) by extracting schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.

MCP server for the loc8n Geographic Data API. Exposes U.S. demographics, housing, mortgage, migration, employment, and geographic data as tools.

Enables natural-language research queries across marine data sources including FAO FishStat, BarentsWatch Fish Health, and Copernicus Marine, with data provenance and local file exports.

An MCP server for dataset exploration and analysis, enabling LLM clients to perform summary, correlation, distribution, missing value analysis, data cleaning, and statistical tests directly on CSV files.

Profiles authorized local datasets into inspectable Data Context for AI assistants, with optional local model-assisted interpretation.

Exposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.

Enables natural language search and discovery of open-access scientific datasets through the EOSC Data Commons OpenSearch service. Provides tools to search datasets and retrieve file metadata using LLM-assisted queries.

Enables AI agents to query live pricing, resale, company KYC, SEC filings, patents, trademarks, public tenders, auctions and related market intelligence through MCP, returning clean typed JSON from primary sources on a pay-per-result basis.

A data visualization MCP server built on FastMCP, providing 32 tools for chart generation, report building, and data processing.

Enables scientific data introspection and visualization of VTK datasets with format-adaptive metadata extraction and interactive 3D visualization through MCP tools.

Enables data analysis and visualization operations such as loading CSV/Excel/JSON files, computing summary statistics, generating charts, and exploring datasets via SSE/HTTP.

Enables querying, sampling, and exporting datasets from over twenty keyless free public data sources spanning the EU, Switzerland, Germany, the US, and global providers through one uniform set of tools. A single consistent interface lets users list databases and tables, inspect schemas and query guides, run queries, and export results as CSV or JSON without per-API clients.

Provides read-only access to open, verified vehicle brand, model, and specification data (Italy first, later EU) through MCP tools, enabling AI agents and apps to query the dataset programmatically.

MCP server providing AI assistants with live access to 89 curated US workforce and labor market data sources, including BLS, FRED, Census, O*NET, DOL, SEC EDGAR, and real-time signals from Indeed and ADP.