CSV MCP Server
Related Servers
Alternatives to CSV MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseCqualityBmaintenanceA stdio MCP server for safely reading, analyzing, validating, and transforming CSV/TSV files, with sandboxed file system access and configurable parsing options.14-
- AlicenseBqualityDmaintenanceComprehensive CSV processing MCP server with 40+ operations for data manipulation, analysis, and validation. Features auto-save, undo/redo, and handles GB+ files3925MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol server for exploring and analyzing CSV files, providing tools for inspection, sampling, schema inference, statistics, filtering, and more.121 npmMIT
- AlicenseAqualityCmaintenanceEnables validating CSV structure, checking simple schemas, converting between CSV and JSON, sampling rows, and finding duplicate keys on local files. All processing stays local, so no user data is ever uploaded.6MIT
- FlicenseNot gradedqualityDmaintenanceEnables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.3-
- AlicenseAqualityCmaintenanceEnables AI assistants to analyze CSV files by providing statistical analysis and structural summaries via MCP tools.2MIT
TDQS
Scored across 15 tools
Most tools have distinct purposes focused on different CSV operations like creation, reading, filtering, and updating. However, create_csv and create_csv_at_path have overlapping functionality that could cause confusion, as both create CSV files with only a minor path specification difference. The other tools are clearly differentiated by their specific actions on CSV data.
All tools follow a consistent snake_case naming convention with clear verb_noun patterns. The naming is predictable throughout, using verbs like create, read, update, delete, filter, sort, and validate paired with appropriate nouns like csv, data, row, or statistics. There are no deviations in naming style across the toolset.
With 15 tools, this server provides comprehensive coverage for CSV operations without being overwhelming. The count is well-suited for the domain, offering a complete set of operations including file management, data manipulation, analysis, and validation. Each tool serves a distinct purpose that contributes to the overall CSV processing capability.
The toolset provides complete coverage for CSV operations including full CRUD lifecycle (create, read, update, delete), data manipulation (filter, sort, group), analysis (statistics, validation), and file management (list, info, path info). There are no obvious gaps in functionality for working with CSV files, and the tools support both basic operations and advanced data processing workflows.