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Parsing and Unparsing CSV Files for AI Context Use

  • Why this server?

    This server supports document format conversion including CSV, which is crucial for parsing and unparsing CSV files.

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    MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, PDF, DOCX (.docx), csv and more.
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    Python
    MIT License
    • Apple
  • Why this server?

    This server can fetch web content, which can include CSV files from URLs, and provide them as context.

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    An MCP server that enables fetching web content using the Node.js undici library, supporting various HTTP methods, content formats, and request configurations.
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    TypeScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    This server fetches web content and can likely handle CSV files from URLs, providing data as context.

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    Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown.
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  • Why this server?

    This tool allows for creating and searching documentation, including uploading local files. If you convert CSV files to a readable documentation format, it can help in AI context.

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    A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.
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    JavaScript
    Apache 2.0
    • Apple
  • Why this server?

    This server supports multiple content types. If you upload the parsed CSV, it can summarize it and give as context.

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    MCP Server for AI Summarization, Support for multiple content types: * Plain text * Web pages * PDF documents * EPUB books * HTML content
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    JavaScript
  • Why this server?

    This can read Excel files and CSVs, which are related. Once read, you can give it as context.

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    A Model Context Protocol (MCP) server that provides tools for reading Excel (xlsx) files, enabling extraction of data from entire workbooks or specific sheets with results returned in structured JSON format.
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    Apache 2.0
    • Linux
    • Apple
  • Why this server?

    This can access data sources. It can be relevant if the CSV data is in a public dataset.

  • Why this server?

    This will allow you to load CSV data into SQLite tables, then query for the data to give it as context.

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    A Model Context Protocol (MCP) server implementation that provides database interaction and business intelligence capabilities through SQLite. This server enables running SQL queries, analyzing business data, and automatically generating business insight memos.
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    37,968
    JavaScript
    MIT License
  • Why this server?

    This will allow you to load CSV data into DuckDB tables, then query for the data to give it as context.

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    A Model Context Protocol (MCP) server implementation for DuckDB, providing database interaction capabilities through MCP tools. It would be interesting to have LLM analyze it. DuckDB is suitable for local analysis.
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    MIT License
    • Apple
  • Why this server?

    This allows access to database, which could be in CSV format, within a unified configuration

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    DButils is an all-in-one MCP service that enables your AI to do data analysis by accessing versatile types of database (sqlite, mysql, postgres, and more) within a unified connection configuration in a safe way.
    16
    Python
    MIT License
    • Linux
    • Apple