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"Reading Microsoft OneDrive files" matching MCP servers:

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    Integrates Microsoft 365 enterprise data into GitHub Copilot and Claude Desktop using Microsoft 365 Copilot APIs. It enables natural language queries across SharePoint, OneDrive, emails, calendars, and Teams meetings while maintaining full enterprise permission enforcement.
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    MIT
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    An MCP server that enables searching Merill's Weekly Microsoft AI Roundup archive with natural language queries, returning sourced excerpts, issue details, and tool mentions. It supports hybrid semantic and keyword search, issue retrieval, and archive browsing with no API keys required.
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    MIT
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    Jinni is a tool to efficiently provide Large Language Models the context of your projects. It gives a consolidated view of relevant project files complete with metadata, overcoming the limitations and inefficiencies of reading files one by one. The philosophy behind this tool is that LLM context wi
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    Apache 2.0
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    A read-only MCP server that provides document awareness for agents by parsing local files into structured profiles, blocks, chunks, and search results, enabling agents to understand and cite document content without dealing with raw file formats.
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    Apache 2.0
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    Enables AI assistants to interact with Tencent Lexiang enterprise knowledge base for searching, reading, creating, and editing documents, managing files, and importing meeting recordings.
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    MIT
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    An MCP server that enables Microsoft Copilot Studio to fetch random jokes from multiple sources including Chuck Norris jokes, Dad jokes, and Yo Mama jokes.
    MIT
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    A lab demonstrating how to deploy a Model Context Protocol (MCP) server and integrate it with Microsoft Copilot Studio, allowing users to connect AI models to different data sources and tools through a standardized protocol.
    MIT
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    Enables AI to efficiently analyze and extract structured data from complex documents, especially Excel files, by providing tools like section reading and field mapping to reduce token usage and improve success rates.
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    MIT
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    An MCP server for 1C:Enterprise that provides AI assistants with access to configuration data via vector search, structural indexing, and call graphs. It enables semantic code queries and rapid metadata object lookups without requiring the direct reading of raw files.
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    AGPL 3.0
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    Enables Claude to recall context from a merged knowledge graph of your Obsidian vault and code projects, providing tools to search, find neighbors, and discover paths before editing files. Works offline by reading a local brain.json.
    MIT
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    Integrates with Microsoft 365 Copilot APIs to enable retrieval of content from SharePoint and OneDrive, document search across M365, and conversational AI interactions with your Microsoft 365 data while respecting access permissions.
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    MIT