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"Understanding the text content of a webpage" matching MCP servers:

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    Enables interaction with Telegram chat history, including text, photos, and documents, via the GramJS MTProto userbot. It provides tools for searching chats, syncing message history, and downloading media files for local analysis.
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    MIT
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    Scrape any webpage and return clean markdown, HTML, or structured JSON. Bypasses anti-bot protection, renders JavaScript (React/Vue/Angular), supports premium residential proxies and CSS extraction. Works with any MCP client — no local install required.
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    MIT
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    A simple and efficient MCP server that provides Base64 encoding and decoding functionality for both text and images with support for Data URL format.
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    MIT
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    Creates compact skeleton representations of large JSON files by preserving structure while truncating string values and deduplicating arrays, helping users understand JSON structure without processing the full data payload.
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    The geospatial toolkit for AI agents. 6 tools, zero config — give any LLM the ability to parse, convert, query, and aggregate spatial data out of the box. Or just make a bounding box :) Every response includes a verification link to vibhorsingh.com/boundingbox so you can visually confirm results on an interactive map.
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    MIT
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    An MCP server for the Workiva platform that pairs API tools with a knowledge base of confirmed API behavior, automatically attaching fixes to failing API calls, and supporting SQL execution and other Wdata operations.
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    Apache 2.0
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    A tutorial implementation MCP server that enables analysis of CSV and Parquet files. Allows users to summarize data and query file information through natural language interactions.
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    An MCP server that enables LLMs to detect and anonymize over 25 types of Personally Identifiable Information (PII) using Microsoft Presidio. It supports various redaction strategies and can process both plain text and structured data to help ensure data privacy.
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    MIT
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    Enables efficient extraction of specific data from JSON APIs using JSONPath patterns, reducing token usage by up to 99% compared to fetching entire responses. Supports single and batch operations for both JSON extraction and raw text retrieval from URLs.
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    A Python MCP server for deterministic fuzzy text matching using RapidFuzz. It enables text normalization, string comparison, best-match ranking, duplicate grouping, and match explanation via configurable profiles and strategies.
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    A server that enables AI assistants to access, analyze, and understand HackerNews content through standardized Model Context Protocol interfaces, providing tools for searching posts, analyzing users, and tracking trending topics.
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    MIT
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    A Model Context Protocol server that extracts and processes content from PDF documents, providing text extraction, metadata retrieval, page-level processing, and PDF validation capabilities.
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    An MCP server that allows users to interact with YNAB data, enabling access to account balances, transactions, and the creation of new transactions through the Model Context Protocol.
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    MIT
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    Provides 40+ specialized tools for AI assistants to load, transform, analyze, and validate CSV data from URLs and string content through the Model Context Protocol.
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    Apache 2.0
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    A server that provides tools and utilities to support the implementation of Jij Modeling, featuring easy configuration and an extensible architecture for custom modeling workflows.
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