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"Understanding Web Scraping" matching MCP servers:

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    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.
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    MIT
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    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.
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    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.
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    A universal resource server that enables AI models to mount local folders, scrape web pages into Markdown, and query SQLite databases without writing code. It features a real-time TUI dashboard and persistent configuration for managing diverse knowledge sources.
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    An MCP server that provides persistent memory for database schemas by storing table structures and metadata in a local SQLite file. It enables LLMs to save, retrieve, and manage database snapshots to maintain a structured understanding of database architectures.
    5
    MIT
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    A minimal MCP server that gives AI coding agents clean read and write access to Microsoft Dataverse environments via the Dataverse Web API v9.2. It works as a drop-in alternative to Microsoft's own MCP server, without requiring Copilot Credits or managed environments.
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    Enables AI agents to query, inspect, and manage Microsoft Dataverse records, metadata, schema, forms, views, and Power Platform environments via the Dataverse OData Web API.
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    MIT
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    Enables schema operations in Microsoft Dataverse using the Model Context Protocol, allowing users to create and manage tables, columns, relationships, and option sets through the Dataverse Web API.
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    MIT
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    Provides comprehensive access to the Airtable Web API, enabling AI assistants to create and manage bases, tables, fields, records, views, and webhooks with support for 25+ field types, batch operations, and enterprise features.
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    MIT
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    Local-first codebase intelligence engine providing AI coding agents with a typed MCP toolset for understanding and navigating code repositories.
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    Apache 2.0
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    Enables users to analyze local Excel and CSV files through natural language queries and a web dashboard while keeping data local. It supports saving specific analyses as reusable tools and building a custom analytics toolkit within Claude Desktop.
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    MIT
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    The server connects the Claude AI to the internet through the capabilites of the LSD SQL language, turning web data into a queryable database-like structure to interact with real-world data efficiently.
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    An MCP server that connects language models to the LSD database, enabling web data extraction, research capabilities, and custom 'trips' for extending functionality through the internetdata SDK.
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    MIT
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    An MCP server that exposes VeloDB analytics data to AI clients through a governed semantic metrics layer (MetricFlow) and raw SQL fallback, with multi-workspace isolation, staging workflows, and a web UI for managing models.
    Apache 2.0
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    Connects MCP clients to databases like Snowflake, BigQuery, and Databricks through Alkemi's data platform, enabling natural language database queries with proper schema understanding and metadata management for consistent team-wide access.
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    MIT