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"How to modify local files" matching MCP servers:

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    Lets AI assistants work on sensitive files by reasoning over schemas and masked output while deterministic local code handles raw data, never exposing real values to the model.
    5
    MIT
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    Enables interaction with Telegram chat history, including text, photos, and documents, via the GramJS MTProto userbot. It provides tools for searching chats, syncing message history, and downloading media files for local analysis.
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    27
    MIT
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    Enables AI agents to work with a real Excel-compatible spreadsheet engine, allowing them to create and manipulate structured data blocks, write and evaluate formulas, and save genuine .xlsx files with live formulas for human verification and reuse.
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    MIT
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    Connect Claude to your Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and get results — with large datasets automatically saved to local CSV files to protect the LLM context window. Includes a query history log for cross-session reuse and auditability.
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    13
    MIT
  • F
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    Local MCP server for the Jedox OLAP platform enabling LLM clients to interact with Jedox databases, dimensions, cubes, cells, and rules via natural language.
    25
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    Enables AI assistants to read, create, and modify SAP BW/4HANA modeling objects via the internal REST API, including aDSOs, InfoObjects, transformations, DTPs, queries, and more.
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    MIT
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    Turns a folder of CSV, Parquet, and JSON files into a single SQL-queryable source for AI agents, supporting JOINs across files with read-only sandboxed access.
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    MIT
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    A tutorial implementation MCP server that enables analysis of CSV and Parquet files. Allows users to summarize data and query file information through natural language interactions.
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    An open-source MCP server that connects to various data sources (SQL databases, CSV, Parquet files), allowing AI models to execute SQL queries and generate data visualizations for analytics and business intelligence.
    12
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    MIT
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    Enables AI agents to load, query, and analyze IFC building model files, including spatial structures, elements, properties, materials, and geometry.
    20
    MIT
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    An MCP server that enables AI assistants to load, query, and analyze local CSV files using tools for filtering, aggregation, and grouping. It provides capabilities to describe schemas, calculate statistics, and sample data directly from CSV files.
    6