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    A production-ready MCP server for the Pexels API that lets AI assistants search and fetch photos, videos, and collections. It covers every documented Pexels endpoint with token-efficient output and license-aware credits.
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    MIT
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    The Atlas Docs MCP server provides technical documentation of libraries and frameworks for AI assistants, processes the official documentation into Markdown versions suitable for LLMS, and is applicable to McP-compatible LLM clients such as Cursor, Cline, Windsurf, etc.
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    Apache 2.0
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    A lightweight MCP server that allows querying and searching for Douyu live streaming room information by room ID or keywords, returning results in Markdown format.
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    MIT
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    The MCP server offers the function of extracting images from local files and urls and converting them to base64 format, which is suitable for LLM analysis.
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    Apache 2.0
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    Enables an AI assistant to query the full YouTube Analytics, Data v3, and Reporting API surface for one or multiple channels you own, with unrestricted parameters, local OAuth handling, and large-result output to files.
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    MIT
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    Provide access to Iconify's MCP server with over 200,000 open-source vector ICONS, supporting icon set browsing, searching, and obtaining multi-framework usage examples.
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    Apache 2.0
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    A model context protocol server that provides Berlin administrative service data, allowing AI assistants to search and retrieve over 1000 public service information provided by Berlin authorities.
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    Apache 2.0
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    A MCP server that supports AI assistants to read and analyze PDF files, providing functions such as PDF metadata extraction, page range reading, and keyword search
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    Apache 2.0
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    An implementation of a classification-based persistent memory system that enables Claude to store and retrieve classified memory information across chat sessions
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    Apache 2.0
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    A model Context Protocol (MCP) server that provides comprehensive OECD statistics through the SDMX API, supporting AI assistants and chatbots to query OECD datasets in areas such as economy, health, education, and environment.
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    Apache 2.0