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Alternatives to mcp-csv-database

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    Related Servers

    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables natural language data analysis on uploaded CSV files by converting them to SQLite and exposing read-only database tools via MCP. Integrates with Ollama LLM to translate user questions into safe SQL queries.
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    • A
      license
      A
      quality
      Not graded
      maintenance
      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.
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    • A
      license
      A
      quality
      C
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      Enables AI assistants to analyze CSV files by providing statistical analysis and structural summaries via MCP tools.
      2
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to run SQL analytics directly on CSV files in place via MCP, avoiding imports and token-heavy data pasting. It provides read-only querying, schema inspection, and file listing while keeping data local.
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    • F
      license
      Not graded
      quality
      D
      maintenance
      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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    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI models to interact with local CSV and Parquet data through MCP tools, providing summarization and analysis capabilities.
      1
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    TDQS

    B3.4/5.0

    Scored across 14 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, but there is some overlap among info tools (get_table_info, get_database_schema, get_data_summary) that could cause confusion if an agent doesn't read descriptions carefully.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (e.g., load_csv_folder, find_duplicates, get_column_stats), making it easy to predict functionality from the name.

    Tool Count5/5

    14 tools cover the core operations of a CSV database server (loading, querying, analysis, management, export) without being excessive or sparse.

    Completeness4/5

    The tool surface covers loading, querying, analysis, schema inspection, indexing, backup, and export. Missing dedicated tools for dropping tables or bulk data modifications, but these can be handled via execute_sql_query.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues