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

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

MCP server that will proxy to your gRPC backends via reflection or descriptors file.

GenieACS-MCP is a Go-based MCP server that bridges any GenieACS (TR-069 ACS) instance, exposing device data, firmware management, and CPE actions (reboot, parameter refresh, firmware download) over JSON-RPC

Gives AI assistants real-time access to web data with the ability to scrape any website, bypass anti-bot systems, extract structured data, and capture screenshots through enterprise-grade infrastructure.

Lightweight content management system for websites, built for the AI era

Official MCP server built into Casdoor, the open-source identity and access management (IAM) and single sign-on (SSO) platform. It exposes Casdoor's users and applications as MCP tools over a JSON-RPC endpoint at /api/mcp, with per-tool authorization driven by OAuth scopes, and can also act as an MCP gateway that proxies and authorizes agent access to upstream MCP servers.

Provides git-aware safe file operations, allowing AI agents to delete files while protecting git-tracked source code from accidental deletion.

A Model Context Protocol server enabling AI assistants to query and explore data warehouses via Trino, with optional semantic context from metadata catalogs.

A self-hosted MCP server that provides capability packs for AI agents to perform browser, desktop, git, and code actions via schema-validated JSON calls, enabling reliable agentic workflows even with small open-weight models.

Provides a read-only schema extraction tool that converts database structures from numerous dialects into Toon format, accepting live connections or offline SQL dumps.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

MCP server for Reddit that fetches full comment threads and compresses them into compact tab-delimited format, reducing token usage by up to 94% vs JSON. Supports subreddit feeds, multi-subreddit search, user activity, and OAuth for higher rate limits.

Provides tools to search, query, and visualize Prometheus metrics, returning results in JSON format for AI analysis.

MCP proxy that wraps any MCP server and transparently converts JSON responses in tools/call to TOON format — a token-efficient alternative to JSON optimized for LLMs (~40% fewer tokens).

swagger-mcp is a tool designed to scrape Swagger UI by extracting the swagger.json file and dynamically generating well-defined mcp tools at runtime. These tools can be utilized by the MCP client for further tool selection.

The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.

Turns a codebase into a queryable graph with semantic search, call graphs, and control/data flow analysis, served to AI coding agents via the Model Context Protocol.

Enables agents to query a dated, provenance-backed history distilled from any text stream, turning raw records into observations, bi-temporal facets, and narratives over MCP.

An MCP server that gives AI agents a full, safe interface to Git with automatic backups, isolated worktrees, and structured JSON outputs.

A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.