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Papaparse Mcp Server
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Pricing

$5.00 / 1,000 results

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Papaparse Mcp Server

Papaparse Mcp Server

Under maintenance

Cloud CSV processing with Papa Parse

Pricing

$5.00 / 1,000 results

Rating

0.0

(0)

Developer

Mohammed Rahil

Mohammed Rahil

Maintained by Community

Actor stats

0

Bookmarked

3

Total users

2

Monthly active users

7 days ago

Last modified

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πŸ“Š Papa Parse MCP Server

Cloud-hosted CSV processing service powered by Papa Parse. Parse, validate, and convert CSV data via simple API calls.

πŸš€ Features

  • βœ… Parse CSV - Convert CSV to JSON with intelligent type detection
  • βœ… Unparse JSON - Convert JSON arrays to CSV format
  • βœ… Validate CSV - Check CSV structure, find errors, detect issues
  • βœ… URL Support - Fetch and process CSV files from URLs
  • βœ… Smart Parsing - Auto-detects delimiters, handles quotes, trims whitespace
  • βœ… Error Handling - Detailed error reporting with line numbers

πŸ“– Use Cases

  • Data Import/Export - Convert between CSV and JSON formats
  • Data Validation - Validate CSV files before processing
  • ETL Workflows - Integrate into n8n, Zapier, Make.com
  • AI Agents - Enable Claude/GPT to process CSV data
  • Batch Processing - Handle large CSV files in the cloud

🎯 Quick Start

Operation 1: Parse CSV

Input:

{
"operation": "parse",
"csvData": "name,age,city\nJohn,30,NYC\nJane,25,LA",
"options": {
"header": true,
"dynamicTyping": true
}
}

Output:

{
"success": true,
"operation": "parse",
"data": [
{"name": "John", "age": 30, "city": "NYC"},
{"name": "Jane", "age": 25, "city": "LA"}
],
"rowCount": 2,
"columnCount": 3
}

Operation 2: Parse from URL

Input:

{
"operation": "parse",
"csvData": "https://example.com/data.csv"
}

Operation 3: Convert JSON to CSV

Input:

{
"operation": "unparse",
"jsonData": [
{"product": "Laptop", "price": 999, "stock": 50},
{"product": "Mouse", "price": 29, "stock": 200}
]
}

Output:

{
"success": true,
"operation": "unparse",
"csv": "product,price,stock\nLaptop,999,50\nMouse,29,200",
"rowCount": 2
}

Operation 4: Validate CSV

Input:

{
"operation": "validate",
"csvData": "name,age,city\nJohn,30,NYC\n,25,LA\nBob,invalid,Chicago"
}

Output:

{
"success": true,
"operation": "validate",
"isValid": false,
"validations": {
"hasData": true,
"hasHeaders": true,
"hasErrors": false,
"isConsistent": true,
"emptyFields": {
"name": [1]
},
"duplicateHeaders": []
}
}

βš™οΈ Configuration Options

All standard Papa Parse options are supported:

OptionTypeDefaultDescription
headerbooleantrueFirst row contains headers
dynamicTypingbooleantrueAuto-convert numbers/booleans
skipEmptyLinesbooleantrueSkip blank lines
delimiterstring""Auto-detect delimiter
newlinestring""Auto-detect line breaks
quoteCharstring"Quote character
escapeCharstring"Escape character
commentsstring/booleanfalseComment character
trimHeadersbooleantrueRemove whitespace from headers

πŸ”Œ Integration Examples

Using with n8n

  1. Add HTTP Request node
  2. Set URL: https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs
  3. Method: POST
  4. Body: Your input JSON
  5. Headers: Authorization: Bearer YOUR_API_TOKEN

Using with Zapier

  1. Add Webhooks by Zapier action
  2. Choose POST
  3. URL: https://api.apify.com/v2/acts/YOUR_ACTOR_ID/run-sync-get-dataset-items
  4. Add your input as JSON

Using with Python

import requests
response = requests.post(
'https://api.apify.com/v2/acts/YOUR_ACTOR_ID/run-sync-get-dataset-items',
json={
'operation': 'parse',
'csvData': 'name,age\nJohn,30\nJane,25'
},
params={'token': 'YOUR_API_TOKEN'}
)
data = response.json()
print(data)

Using with JavaScript

const response = await fetch(
'https://api.apify.com/v2/acts/YOUR_ACTOR_ID/run-sync-get-dataset-items?token=YOUR_TOKEN',
{
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
operation: 'parse',
csvData: 'name,age\nJohn,30\nJane,25'
})
}
);
const data = await response.json();
console.log(data);

πŸ› Error Handling

The actor provides detailed error information:

{
"success": true,
"errors": [
{
"type": "Quotes",
"code": "MissingQuotes",
"message": "Quoted field unterminated",
"row": 5
}
]
}

πŸ“Š Performance

  • Handles files up to 100MB
  • Processes ~10,000 rows/second
  • Automatic chunking for large files
  • Memory-efficient streaming

πŸ”’ Security

  • No data is stored permanently
  • All processing happens in isolated containers
  • Supports HTTPS-only CSV URLs
  • API token authentication required

πŸ’‘ Tips

  1. Large Files: Use URL input instead of pasting large CSV content
  2. Custom Delimiters: Set delimiter: ";" for semicolon-separated values
  3. Headers: Set header: false if your CSV has no header row
  4. Type Conversion: Disable dynamicTyping to keep all fields as strings
  5. Validation: Always validate before parsing production data

πŸ“ Changelog

v1.0.0 (2024)

  • Initial release
  • Parse, unparse, validate operations
  • URL fetching support
  • Comprehensive error reporting

πŸ†˜ Support

πŸ“„ License

MIT License - Use freely in commercial projects


Built with ❀️ using Papa Parse and Apify