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"Parsing and Unparsing CSV Files for AI Context Use" matching MCP servers:

  • CSV Editor

    santoshray02
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    Comprehensive CSV processing MCP server with 40+ operations for data manipulation, analysis, and validation. Features auto-save, undo/redo, and handles GB+ files
    4
    39
    24
    MIT

  • csv-mcp

    meysam-kazemi
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    license
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    quality
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    maintenance
    A stdio MCP server for safely reading, analyzing, validating, and transforming CSV/TSV files, with sandboxed file system access and configurable parsing options.
    14

  • test-files-mcp

    Zulelee
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    Generates test files locally (images, PDFs, CSVs, corrupted files, etc.) from natural language prompts, with configurable sizes and safety limits.
    10
    MIT

  • files-mcp-ts

    LiviuBirjega
    F
    license
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    quality
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    maintenance
    A lightweight MCP server for basic file operations, enabling reading, writing, and listing files securely via the Model Context Protocol.
    3
    1

  • x-use

    ihuzaifashoukat
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    Multi-account X (Twitter) automation that drives a real Chrome session with your own cookies, so no X API key is needed. 32 tools for posting, replies, search, engagement, and media, with draft approval on by default.
    33
    156
    MIT

  • shell-use

    kyuheon-kr
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    maintenance
    Enables agents to interact with CLI applications like vim, htop, and gdb by sending key inputs and capturing terminal output through tmux sessions.
    6
    MIT

  • Context Mode

    mksglu
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    quality
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    maintenance
    An MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programming languages and authenticated CLIs.
    11
    19,534
    20,067
    Elastic 2.0

  • mem-context

    turbyho
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    maintenance
    Multi-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor scoring, and an LLM-driven consolidation pipeline.
    10
    MIT

  • Context Mode

    Everflow-Utilities
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    quality
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    maintenance
    Context Mode is an MCP server that reduces context window waste by sandboxing data-heavy tools, tracking session state in SQLite, and promoting code-based analysis over raw data reads, achieving up to 98% context savings.
    11
    19,534
    Elastic 2.0

  • eph-context

    matias-denatale
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    quality
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    maintenance
    Provides official INDEC register designs and methodological rules to AI models, enabling accurate EPH data analysis code (R/Python) without hallucinations.
    6
    1

  • pdf-context

    mematcha
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    license
    A
    quality
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    maintenance
    A local-first MCP server that ingests PDFs, extracts structure, and provides semantic search and sequential navigation tools for AI clients to query and learn from documents.
    10
    MIT

  • Codebase Context

    PatrickSys
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    license
    A
    quality
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    maintenance
    Provides AI assistants with real-time visibility into your codebase's internal libraries, team patterns, naming conventions, and usage frequencies to generate code that matches your team's actual practices.
    11
    433
    58
    Elastic 2.0

  • pg-context

    mewsyy
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    A
    quality
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    maintenance
    MCP server providing deep PostgreSQL context to AI assistants, including schema DDL, index health, foreign key associations, query execution plans, and performance statistics via read-only tools.
    12
    MIT

  • mcp-context-memory

    maschmann
    F
    license
    A
    quality
    C
    maintenance
    A local semantic memory and code-indexer that uses AST parsing for structural understanding and persists architectural decisions to help AI assistants bypass context window limits.
    3

  • lean-computer-use-mcp

    Kvxw1105
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    license
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    quality
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    maintenance
    Enables low-cost agent models to control Windows applications through a compact, state-safe proxy over Open Computer Use, reducing model-visible context by up to 99.8% with support for record/replay and reusable UI component memory.
    5
    MIT