Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@@mcpx-digital/csv-tools validate ./data/users.csv and require columns id,email with email type"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP server for local CSV validation and conversion.
Validate CSV structure, check simple schemas, convert CSV↔JSON, sample rows, and find duplicate keys — all on local files.
Privacy: Never uploads user data anywhere. All processing is local.
npx -y @mcpx-digital/csv-toolsRelated MCP server: csv-mcp-server
mcp.json example{
"mcpServers": {
"csv-tools": {
"command": "npx",
"args": ["-y", "@mcpx-digital/csv-tools"]
}
}
}Local clone:
{
"mcpServers": {
"csv-tools": {
"command": "node",
"args": ["/absolute/path/to/csv-tools-mcp/index.js"]
}
}
}Tool | What it does |
| Headers, column counts, duplicate headers |
| Required columns + basic types |
| CSV → JSON records |
| JSON → CSV (optional write to disk) |
| First N rows |
| Duplicate groups by key columns |
“Validate ./data/users.csv”
“Require columns id,email and check email types”
“Convert export.csv to JSON and show 5 sample rows”
“Find duplicate email values in users.csv”
git clone https://github.com/TheoryofShadows/csv-tools-mcp.git
cd csv-tools-mcp
npm install
npm testMIT
Convert a local CSV file to JSON records (returned in tool result). Local files only — never uploads user data anywhere.
Inputs: filePath (required), delimiter.
Find duplicate rows by one or more key columns. Local files only — never uploads user data anywhere.
Inputs: filePath (required), keyColumns (required), delimiter.
Convert JSON records (or a local JSON array file) to CSV; optionally write to outputPath. Local files only — never uploads user data anywhere.
Inputs: headers, records, jsonPath, outputPath.
Return the first N data rows from a CSV (default 5, max 100). Local files only — never uploads user data anywhere.
Inputs: filePath (required), n, delimiter.
Check required columns and simple column types (string|number|integer|boolean|email|url). Local files only — never uploads user data anywhere.
Inputs: filePath (required), delimiter, columnTypes, requiredColumns.
Validate CSV structure (headers, consistent column counts, duplicate headers). Local files only — never uploads user data anywhere.
Inputs: filePath (required), delimiter.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Scored across 6 tools
Most tools target distinct operations (convert, sample, find duplicates, validate, schema check). However, validate_csv and schema_check overlap somewhat since both assess CSV structure/quality, though they focus on different aspects (structure vs. column requirements/types). The descriptions help distinguish them.
Five tools follow snake_case with clear verb_noun or noun patterns (json_to_csv, csv_to_json, validate_csv, sample_rows, find_duplicate_keys), but schema_check lacks a verb and uses a different construction, introducing minor inconsistency.
Six tools is well-scoped for a CSV utility server. Each tool covers a distinct common CSV task (conversion, sampling, duplication detection, validation, schema checking), earning its place without redundancy.
The surface covers key CSV operations: conversion both ways, sampling, duplicate detection, validation, and schema checking. Minor gaps include a dedicated CSV writing/transformation tool (e.g., filter columns, sort) or a dedicated row/column manipulation tool, but core workflows are well supported.
Validate and clean CSV before import. Find duplicates, missing values and invalid dates with row-level reports. Apply only the cleanup you request; files are not retained. Run view_csv_demo free without a key. Custom CSV: EUR 9 for 100 operations, valid 90 days, no subscription. Setup: https://check.orvel.dev/docs/
Profile, clean and validate CSV/Excel data: schemas, dates, numbers, duplicates. Never guesses.
Convert and clean tables: CSV, JSON, dedupe, stats. Free.
Inspect, filter, sort and edit CSV text with four free tools. No account or API key required.
