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

Enables AI agents to convert CSV text into JSON arrays with automatic delimiter detection and optional header-row handling, accessed through a pay-per-call x402 micropayment API.

MCP server that fetches API responses and generates ready-to-use model/POJO classes in your configured language, with built-in login/refresh token handling.

JSON Contracts is a local MCP server for transforming natural language into Git-controlled JSON contracts, JSON Schema validation, and structured LLM/agent outputs.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

A Model Context Protocol server for querying large JSON files using JSONPath expressions, enabling LLMs to efficiently search and extract information from large JSON data.

A comprehensive web scraping server that transforms web content into clean, agent-ready Markdown with automatic citations and efficient caching. It features a robust suite of tools for metadata extraction, sentiment analysis, SEO auditing, and security scanning while strictly adhering to robots.txt policies.

Provides tools to validate, format, and query JSON strings via MCP. Enables AI agents to work with JSON data without needing keys or internet.

A personal MCP bridge that lets ChatGPT drive a local Codex CLI, translating instructions into Codex app-server threads and returning compact summaries of what Codex did.

Validates JSON syntax and optionally checks against a JSON Schema, with pay-per-call via x402 micropayments.

Provides deterministic conversion between YAML and JSON formats, enabling autonomous agents to flawlessly translate complex configurations without LLM formatting errors.

Enables users to expose arbitrary HTTP APIs as configurable MCP tools by defining tool specifications in a JSON configuration file.

MCP server for validating JSON against JSON Schema and repairing malformed/invalid JSON.

An MCP server that converts raw text prompts into structured JSON prompts using heuristic keyword extraction — no API keys required.

A powerful MCP server for querying and processing large Swagger/OpenAPI JSON documents, enabling LLMs to efficiently access API documentation without loading entire files.

Enables efficient JSON file editing with targeted read, write, delete, and deep merge operations using dot notation paths, optimized for managing multilingual projects and large configuration files.

MCP server for sealing and opening JSON with φ-split keyword shares and benefit checks.

Enables LLMs to query and manipulate JSON data from URLs using JSONPath expressions with array, string, numeric, date, and aggregation operations via standardized tools.

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.

An MCP server that provides tools for JSON validation, diffing, and transformation operations such as flattening and renaming. It also enables data format conversion between JSON, CSV, and YAML to streamline data processing for AI agents.

A local MCP server that enables AI agents to securely read, write, search, and edit JSON and Markdown files through a gated permission-scoped interface with configurable access modes.