Borrowing it
Nothing to install: this file belongs to marlonluo2018/pandas-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/marlonluo2018/pandas-mcp-server/main/CLAUDE.mdgit clone --depth 1 https://github.com/marlonluo2018/pandas-mcp-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/marlonluo2018/pandas-mcp-server/claude-md)<a href="https://agentmods.dev/instructions/marlonluo2018/pandas-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/marlonluo2018/pandas-mcp-server/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/marlonluo2018/pandas-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/marlonluo2018/pandas-mcp-server/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01046 | $0.01046 |
| Opus 5 | $0.00523 | $0.00523 |
| Sonnet 5 | $0.00209 | $0.00209 |
| Haiku 4.5 | $0.00105 | $0.00105 |
Grade A, and why
pandas-mcp-server CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- Automated-Data-Analysis-Tool CLAUDE.md — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
This is a Pandas-MCP Server - a Model Context Protocol (MCP) server that enables LLMs to execute pandas code through a standardized workflow for data analysis and visualization. The server provides three main tools: file metadata extraction, secure pandas code execution, and interactive chart generation.
Development Commands
Installation and Setup
# Install dependencies
pip install -r requirements.txt
# Test CLI interface
python cli.py
# Test MCP server
python server.py
Testing
# Test metadata extraction
python test_metadata.py
# Test pandas code execution
python test_execution.py
# Test chart generation
python test_generate_barchart.py
python test_generate_pyecharts.py
# Run all tests with pytest
pytest
CLI Interface
# Interactive mode (recommended for testing)
python cli.py
# Command-line mode
python cli.py metadata data.xlsx
python cli.py execute analysis.py
python cli.py chart data.json --type bar --title "Sales Analysis"
Architecture Overview
Core Components
-
Server Layer (
server.py)- FastMCP integration for MCP protocol
- Three exposed tools:
read_metadata_tool,run_pandas_code_tool,generate_chartjs_tool - Unified logging system with rotation
- Memory monitoring with psutil
-
Metadata Processing (
core/metadata.py)- File validation and encoding detection
- Memory-optimized processing (100-row samples)
- Comprehensive statistical analysis
- Automatic dtype optimization (float64→float32, object→category)
-
Code Execution (
core/execution.py)- Security filtering with BLACKLIST patterns
- Sandboxed execution environment
- Result formatting and memory optimization
- Comprehensive error handling
-
Chart Generation (
core/visualization.py+core/chart_generators/)- Template-based HTML generation using Chart.js
- Three chart types: bar, line, pie
- Interactive controls and responsive design
- Automatic file naming and organization
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 145 lines · 1,046 tokens per session scan A d829cc6c821c
pandas-mcp-server CLAUDE.md is an instructions file published in the GitHub repository marlonluo2018/pandas-mcp-server (45 stars, last pushed 8mo ago), licensed MIT. It adds 1,046 tokens to every session, about $0.0052 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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