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"Exploring RAG through defined workspaces" matching MCP servers:

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    Semantic and exact retrieval over 22M Taiwan court judgments with built-in citation guardrails — bundles carry a read-whitelist so downstream models cannot cite judgments whose reasoning was never read. Also provides exact lookup of administrative interpretations with lifecycle status (repealed / superseded / unverified).
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    Elastic 2.0
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    Enables querying and retrieving content from Confluence through CQL searches and page content fetching, allowing Claude to seamlessly access information stored in Confluence workspaces.
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    MIT
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    A production-ready MCP server for AI agents, providing deep web research and RAG capabilities via Cloudflare Workers.
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    An enhanced Model Context Protocol server that enables AI assistants to interact with ClickUp workspaces, supporting task relationships, comments, checklists, and workspace management through natural language.
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    DexPaprika MCP server allows LLMs to access real-time and historical data on tokens, DEX trading activity, and liquidity across multiple blockchains. It enables natural language queries for exploring market trends, token performance, and DeFi analytics through a standardized interface.
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    MIT
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    This MCP server provides comprehensive Google Workspace integration (Gmail, Drive, etc.) with multi-user OAuth. Unique features include RAG-powered natural language to Chat card rendering, runtime Jinja2 macro creation, and dynamic tool management.
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    Apache 2.0
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    MCP server for the Google Search Console API. Enables search performance analytics, sitemap management, URL index inspection, and property management through natural language.
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    MIT
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    Enables AI agents to convert files, render web pages to markdown/PDF/screenshots, search the live web, extract structured data, ingest RAG-ready chunks, and monitor pages for changes through a single API key.
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    MIT
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    Local-first RAG MCP server that indexes local documents and provides hybrid search (semantic + keyword) with file ingestion, URL fetching, and a CLI, keeping data on-device.
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    MIT
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    CodebaseAgent-MCP is an MCP server that uses a lightweight RAG pipeline to delegate repository analysis to a dedicated OpenAI-compatible LLM, reducing token consumption by having the primary assistant receive only the relevant findings instead of repeatedly scanning the entire codebase.
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    Apache 2.0