CSV Tools AI MCP

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/csoai-org-csv-tools-ai-mcp

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools

4 read · 0 write · 0 deleteRead-only

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Runs as

Python package

Tools (4)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• convert_to_json

  Convert CSV content to JSON array of objects. Args: content: CSV string content has_header: Whether the first row is a header max_rows: Maximum rows to convert (default 500) Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured analysis or classification of inputs a…

• detect_delimiter

  Auto-detect the delimiter used in a CSV/DSV file. Args: content: CSV/DSV string content to analyze Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standards. When NOT to use: Not suitable for …

• parse_csv

  Parse CSV content and return structured data with statistics. Args: content: CSV string content has_header: Whether the first row is a header (default True) max_rows: Maximum rows to return (default 100) Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured analysis or …

• validate_headers

  Validate that CSV headers match expected column names. Args: content: CSV string content expected_headers: List of expected header names Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standard…

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Weekly downloads

63

Last commit

Sep 4, 2026 (1 month ago)

Last release

Jun 30, 2026 (4 months ago)

Last package publish

Jun 13, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name

io.github.CSOAI-ORG/csv-tools-ai-mcp

Version

1.0.10

Auth

No auth

Packages

pypi csv-tools-ai-mcp

License

MIT

Repository

github.com/CSOAI-ORG/csv-tools-ai-mcp

First seen

Oct 24, 2026

Last checked

Oct 25, 2026

Source

Official MCP Registrygithub-graphql