"Information about web scraping" matching MCP servers:

A Python web-scraping toolkit that exposes 22 tools for fetching structured web data (from any URL to search, finance, e-commerce, and reference sources) as validated JSON for AI agents.

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.

Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

Enables management of culinary recipes through web scraping from sites like Marmiton.org, recipe generation, ingredient management, and querying a MongoDB database of recipes, comments, users, and utensils.

Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.

An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.

MCP server for monitoring competitor pricing pages, scraping pricing data into SQLite, and answering plain-language questions about pricing plans via Claude.

A Python-based server that interacts with EPICS process variables, allowing users to retrieve PV values, set PV values, and fetch detailed information about PVs through a standardized interface.

Retrieves comprehensive patient information including personal details, insurance plans, and employee data through the get_patient tool. Supports Docker Compose deployment and integration with Watson Orchestrate for healthcare data access.

A server that allows AI agents to query and retrieve information about upcoming events at Berghain nightclub through a DynamoDB-backed FastAPI service.

Enables searching and retrieving detailed information about Swedish companies, including financial data and annual reports from Bolagsverket (Swedish Companies Registration Office), with intelligent caching for fast responses.

Enables LLMs to extract content from websites using automated static and dynamic scraping engines with built-in anti-bot protections. It provides tools for web data retrieval and stores results in MongoDB with support for JSON and CSV exports.

MCP server that allows AI assistants to query and retrieve information about office supplies inventory from a CSV file.

An MCP server that provides standardized access to Pokemon data, allowing users to search, compare, and retrieve detailed information about Pokemon through natural language tools.

Enables AI-powered natural language queries about BIT Information Portal (BIP) data by integrating with BIP APIs through session management. Uses Google Gemini to intelligently route questions to appropriate endpoints and generate contextual answers about students, departments, courses, faculty, and achievements.

An MCP server that gives models semantic context about a data warehouse, including table meaning, units, lineage, and health, to reduce guessing.

Enables AI agents to answer analytical questions about an online store's SQLite database through specialized read-only tools, without any risk of modifying the underlying data.

Enables Claude to run read-only SQL queries against the DWH.facturas table in SQL Server, including discovering its columns and asking natural-language questions about invoice data.

MCP server to ask research questions about real-world datasets and get actual database records back, with auto-registration and trial credit.