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Thonny MCP connects your AI assistant to a clean, isolated Python environment where you maintain complete control.\n\n> *\"Your data stays yours. Your AI acts as a collaborative partner, not a service provider.\"*\n\n---\n\n## 🎯 Who Is This For?\n\n- **Data Analysts** working with sensitive business data\n- **Scientists** handling confidential research data  \n- **Researchers** with privacy constraints (HIPAA, GDPR, etc.)\n- **Students** learning data science with AI guidance\n- **Anyone** who wants AI assistance without cloud dependencies\n\n> **⚠️ Windows Only:** This tool is specifically designed for Windows users. Linux and macOS already have Python available in the terminal, so this MCP isn't needed there. If you're on Linux/macOS, just use your system Python directly!\n\n---\n\n## 🔒 Privacy-First Design\n\n| Traditional Cloud Tools | Thonny MCP |\n|------------------------|------------|\n| ❌ Data uploaded to AI company servers | ✅ **Data never leaves your computer** |\n| ❌ Queries logged and analyzed | ✅ **Your analysis is private** |\n| ❌ Internet connection required | ✅ **Works completely offline** |\n| ❌ Trust required | ✅ **You control everything** |\n\n**Your AI becomes your coding friend and analysis partner - not a data processor.**\n\n---\n\n## ✨ Why Thonny MCP?\n\n**For Data Analysts:**\n- 📊 Load CSVs, Excel files, databases - all locally\n- 📈 Generate charts and visualizations on your machine\n- 🔍 Explore data with pandas, numpy, scipy\n- 📉 Run statistical analysis without cloud exposure\n\n**For Scientists:**\n- 🧬 Process sensitive research data securely\n- 📚 Use specialized libraries (biopython, astropy, etc.)\n- 🔬 Reproducible analysis with version-controlled code\n- 📝 Generate reports while maintaining data confidentiality\n\n**For Everyone:**\n- ✅ **No Python setup headaches** - Thonny just works\n- ✅ **Isolated environment** …","publisher":null,"homepage":"https://github.com/Snowiness4394/thonny-mcp#readme","repository":"https://github.com/Snowiness4394/thonny-mcp#readme","version":"0.1.4","license":"MIT","protocols":["mcp"],"tags":["ai-agents","data-analysis","mcp","model-context-protocol","python","thonny","windows"],"pricing":null,"endpoints":[{"url":"pypi:thonny-mcp","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":"analytics.reporting","name":"Reporting & Dashboards","confidence":1,"provenance":"derived"},{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.882,"provenance":"derived"},{"slug":"documents.spreadsheets","name":"Spreadsheets","confidence":0.733,"provenance":"derived"}],"categories":["analytics","dev","documents"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"thonny-mcp","registry":"pypi","observedAt":"2026-10-29T00:27:00.093Z","publishedAt":"2026-07-23T10:43:20.118552Z","latestVersion":"0.1.4"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"thonny-mcp","url":"https://pypi.org/project/thonny-mcp/","firstSeenAt":"2026-09-10T14:22:19.136Z","fetchedAt":"2026-10-29T00:25:16.783Z","normalizedAt":"2026-10-29T00:25:16.783Z"}]},"firstSeenAt":"2026-09-10T14:22:19.136Z","updatedAt":"2026-10-29T00:27:00.093Z"}