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"How to Read an Excel File" matching MCP servers:

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    Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
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    MIT
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    Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.
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    Enables advanced file system operations such as file read/write, directory management, search, archiving, and file watching through natural language.
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    MIT
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    Enables fast file search on macOS using the native mdfind (Spotlight) command, with support for filtering, regex, sorting, and limiting results.
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    MIT
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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.
    5
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    Apache 2.0
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    Advanced content gap analysis using Query Decomposition and Keyword Fan-Out (Google's patented methodology). Tells you exactly what user queries your content covers - and what it misses. Built on academic research because I needed to understand how AI search engines actually evaluate content.
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    Apache 2.0
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    Enables access to Australian real estate data through the Realty In Au API, supporting property listings, agent/agency information, property details, school lookups, and property search with various filters.
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    MIT
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    GEO (Generative Engine Optimisation). This tool shows you exactly how AI search engines see your content - claim density, writing quality, E-E-A-T signals, extractability. Research-backed metrics that correlate with 40% higher AI citation rates.
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    MIT
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    An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.
    5
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    Apache 2.0
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    A MCP server that allows searching for files in the filesystem based on path fragments, returning file metadata including name, path, size, and creation date.
    1
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    Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data including querying, creating, updating, and deleting entities through SAP BTP integration.
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    MIT
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    An Obsidian plugin that runs an MCP server, enabling external LLM tools to read, search, create, and modify notes in your vault via HTTP or stdio transport.
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    MIT
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    Stdio MCP server for sandboxed file access — read files, search content, safely edit with checksums, and manage file structure.
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    ISC
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    Enables searching for files based on creation or modification timestamps within restricted root directories. It supports glob pattern matching, time range filtering, and pagination for efficient file discovery.
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    MIT
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    Offline AI-powered local file search MCP server for Windows. Searches inside document contents (Word, Excel, PDF, PowerPoint, HWP) using BM25 + dense vector hybrid search. 100% local, no cloud, no login, no telemetry.
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    Apache 2.0
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    MCP server for indexing, semantic search, and generation of multi-format documents. Exposes 13 tools over JSON-RPC 2.0 so an LLM can search your local PDF, Excel, and Word files, and create or edit Excel and Word documents.
    AGPL 3.0