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    A MCP server that fetches and renders Baidu Baike (Chinese Wikipedia) discussion content, allowing users to access encyclopedia article discussions and generate readable analysis of the structured data.
    1
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    Enables AI agents to find, score, and monitor government contract opportunities across UK, EU, and US with AI-powered relevance scoring.
    2
    192
    MIT
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    A read-only MCP server for querying Google Ads data using GAQL, enabling AI assistants to safely read campaign performance, ad groups, and keywords.
    12
    MIT
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    An MCP server that exposes a DICOMweb-compliant DICOM archive to AI assistants. It lets any MCP-capable client search studies, series and instances, inspect metadata, read Structured and Encapsulated PDF Reports, and render image frames — all through natural language.
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    3
    MIT
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    MCP Long Context Reader is a Python-based toolkit designed to overcome the context window limitations and high costs associated with Large Language Models (LLMs) processing extensive documents. It provides a FastMCP server with multiple, powerful strategies for an LLM agent to 'read' and query long documents without needing to load the entire text into its context window.
    5
    5
    MIT
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    Search and read arXiv papers directly from Claude. Supports keyword, author, category, and date filtering plus full PDF text extraction so Claude can read, summarise, and reason over entire papers, not just abstracts.
    5
    24
    MIT
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    Enables AI assistants to search, read, and traverse Markdown note vaults (Obsidian-compatible) with full-text search, backlinks, knowledge graphs, and a persistent memory system for cross-session context.
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    2
    MIT
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    Enables users to search and retrieve detailed information about Taiwan government procurement tenders through the Government Electronic Procurement System API. It supports searching tenders by keyword, category code, date, and government unit.
    6
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    Enables read-first interaction with Apple Voice Memos: search transcripts, review action candidates, mark reviewed, prepare tasks for Codex, and render digests.
    1
    Apache 2.0
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    Enables AI agents to interact with Google Ads accounts by searching, retrieving resource metadata, and listing accessible customers via the Google Ads API.
    Apache 2.0