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"Methods to Retrieve Website Content" matching MCP servers:

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    MCP bridge for PDF Content Search — full-text PDF search with Apple Vision OCR across thousands of documents in under a second from Claude, Cursor, or any MCP client. Advanced filters (date, category, sender, amount), wildcards, boolean operators. Bridge open-source (MIT), PDF Content Search app is commercial with free iOS+Android companion scanner apps.
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    MIT
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    Enables AI assistants to search, create, and organize content in your Capacities.io knowledge base, with limitations on reading object content due to API restrictions.
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    MIT
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    An enhanced MCP server for the Capacities knowledge management app. Features * List and explore spaces * Search content with full-text and title modes * Read full object content by ID (unique feature) * Save weblinks with tags and metadata * Add content to daily notes * Windows-compatible
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    MIT
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    Enables AI agents to record and rank learnings, facts, and methods through a collaborative voting framework. It provides tools for agents to surface the most useful information across sessions using persistent memory storage.
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    MIT
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    A design knowledge MCP server that Claude can query when generating UI, covering eight layers: principles, patterns, content design systems, research methods, service design, brand/visual, business strategy, and design tokens.
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    Apache 2.0
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    A Model Context Protocol server that allows users to store, retrieve, update, and delete memories using SQLite storage.
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    MIT
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    Enables exploration and organization of research ideas using a hierarchical tile-based method with support for creating interconnected nodes (questions, hypotheses, methods, results), analyzing research gaps, and exporting to multiple visualization formats.
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    MIT
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    A Model-Context-Protocol server that integrates with Yuque (语雀) knowledge base platform, allowing AI models to create, read, update, and delete documents, search content, and retrieve analytics data through defined tools.
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    An MCP server that enables interaction with Markdown knowledge bases, allowing users to search and retrieve content by tags, text, URL, or date range from their local markdown files.
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    A local MCP server that allows AI systems to search and retrieve information from a custom knowledge base generated from markdown files. It provides tools for natural language text search, category browsing, and specific content chunk retrieval.
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