quick data mcp
pipStandardThe Quick Data MCP server provides AI agents with tools to analyze JSON and CSV data. It exposes functions for data parsing, filtering, and aggregation. The server connects to local files and integrates with Claude Code for agentic data analytics. Developers use it to automate data processing tasks and generate insights from structured datasets.
144290Updated 8 months ago
Overview
The Quick Data MCP server provides AI agents with tools to analyze JSON and CSV data. It exposes functions for data parsing, filtering, and aggregation. The server connects to local files and integrates with Claude Code for agentic data analytics. Developers use it to automate data processing tasks and generate insights from structured datasets.
Installation
1Install the package
pip
pip install quick-data-mcp2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"disler-quick-data-mcp-github": {
"command": "uvx",
"args": [
"pip install quick-data-mcp"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from quick data mcp?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in quick data mcp?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in quick data mcp"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in quick data mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with quick data mcp
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