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"A Python script for merging CSV text and PNG images" matching MCP servers:

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    A local MCP server for analyzing CSV files from your filesystem, particularly suited for chatbot conversation logs. Allows listing, reading, filtering, merging, and statistical analysis of CSV data via natural language.
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    A stdio MCP server for safely reading, analyzing, validating, and transforming CSV/TSV files, with sandboxed file system access and configurable parsing options.
    14
  • A
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    A line-oriented text file editor. Optimized for LLM tools with efficient partial file access to minimize token usage.
    6
    198
    MIT
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    Enables comprehensive CSV file management including creating, editing, analyzing, and transforming CSV data anywhere in the filesystem. Provides statistical analysis, data validation, filtering, and grouping capabilities through MCP protocol over stdio transport.
    15
  • A
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    A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API. Optimized for LLM tools with efficient partial file access to minimize token usage.
    MIT
  • A
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    50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.
    50
    598
    5
    MIT
  • A
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    A Python MCP server that generates complete Vue 3 CRUD structures with Composition API, including components, services, stores, and routes.
    1
    MIT
  • A
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    An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.
    2
    MIT
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    Enables Claude to directly access, query, and analyze local CSV files using natural language, keeping data private and local.
    4
    1
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    A full-featured secure MCP server for local file system operations, with built-in image processing, OCR and media tools. Fully compliant with the official Model Context Protocol specification, offering standardized request/response schemas, large-file streaming I/O, multi-transport remote deployment, and comprehensive text search & replace functionality for LLM agent integration.
    22
    Apache 2.0