{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_2596dsk2scyr","handle":"csv-mcp-server","url":"https://wellknown.network/agents/csv-mcp-server","links":{"self":"https://wellknown.network/agents/csv-mcp-server/record.json","html":"https://wellknown.network/agents/csv-mcp-server","markdown":"https://wellknown.network/agents/csv-mcp-server/record.md","api":"https://wellknown.network/api/v1/agents/csv-mcp-server","status":"https://wellknown.network/api/v1/agents/csv-mcp-server/status","claim":"https://wellknown.network/agents/csv-mcp-server/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/csv-mcp-server/claim.json","badge":"https://wellknown.network/agents/csv-mcp-server/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/csv-mcp-server/history","tools":"https://wellknown.network/api/v1/agents/csv-mcp-server/tools"},"ard":{"identifier":"urn:air::server:csv-mcp-server","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"csv-mcp-server","summary":"MCP server for comprehensive CSV file operations with pandas-based tools","description":"# CSV Editor - AI-Powered CSV Processing via MCP\n\n[![Python](https://img.shields.io/badge/Python-3.8%2B-blue)](https://www.python.org/)\n[![MCP](https://img.shields.io/badge/MCP-Compatible-green)](https://modelcontextprotocol.io/)\n[![License](https://img.shields.io/badge/License-MIT-yellow)](LICENSE)\n[![FastMCP](https://img.shields.io/badge/Built%20with-FastMCP-purple)](https://github.com/jlowin/fastmcp)\n[![Pandas](https://img.shields.io/badge/Powered%20by-Pandas-150458)](https://pandas.pydata.org/)\n\n**Transform how AI assistants work with CSV data.** CSV Editor is a high-performance MCP server that gives Claude, ChatGPT, and other AI assistants powerful data manipulation capabilities through simple commands.\n\n## 🎯 Why CSV Editor?\n\n### The Problem\nAI assistants struggle with complex data operations - they can read files but lack tools for filtering, transforming, analyzing, and validating CSV data efficiently.\n\n### The Solution  \nCSV Editor bridges this gap by providing AI assistants with 40+ specialized tools for CSV operations, turning them into powerful data analysts that can:\n- Clean messy datasets in seconds\n- Perform complex statistical analysis\n- Validate data quality automatically\n- Transform data with natural language commands\n- Track all changes with undo/redo capabilities\n\n### Key Differentiators\n| Feature | CSV Editor | Traditional Tools |\n|---------|-----------|------------------|\n| **AI Integration** | Native MCP protocol | Manual operations |\n| **Auto-Save** | Automatic with strategies | Manual save required |\n| **History Tracking** | Full undo/redo with snapshots | Limited or none |\n| **Session Management** | Multi-user isolated sessions | Single user |\n| **Data Validation** | Built-in quality scoring | Separate tools needed |\n| **Performance** | Handles GB+ files with chunking | Memory limitations |\n\n## ⚡ Quick Demo\n\n```python\n# Your AI assistant can now do this:\n\"Load the sales data and remove duplicates\"\n\"Filter for Q4 2024 transactions over $10,…","publisher":null,"homepage":"https://github.com/santoshray02/csv-editor#readme","repository":"https://github.com/santoshray02/csv-editor/blob/main/CHANGELOG.md","version":"1.0.0","license":"MIT","protocols":["mcp"],"tags":["csv","data-analysis","data-manipulation","data-profiling","data-quality","data-validation","fastmcp","mcp","model-context-protocol","outlier-detection","pandas"],"pricing":null,"endpoints":[{"url":"pypi:csv-mcp-server","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"documents.spreadsheets","name":"Spreadsheets","confidence":1,"provenance":"declared"},{"slug":"dev.filesystem","name":"Filesystem","confidence":0.802,"provenance":"derived"}],"categories":["dev","documents"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; 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