Model Context Protocol server for EPRI's OpenDSS power system simulator - enabling AI-powered distribution system analysis
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"opendss-mcp-server","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# OpenDSS MCP Server <div align="center"> **Conversational Power System Analysis with AI** *Reduce distribution planning studies from weeks to minutes through natural language interaction* [](https://www.python.org/downloads/) [](LICENSE) [](tests/) [](tests/) [](https://www.epri.com/OpenDSS) [](https://modelcontextprotocol.io/) [Features](#features) • [Installation](docs/INSTALLATION.md) • [Quick Start](#quick-start) • [Documentation](#documentation) • [Examples](#examples) • [Contributing](#contributing) </div> --- ## Overview The **OpenDSS MCP Server** is a Model Context Protocol (MCP) server that connects Claude AI with EPRI's OpenDSS power system simulator. It enables distribution planning engineers, utilities, and researchers to perform sophisticated power system analysis through **conversational natural language** instead of complex scripting. ### The Problem Traditional distribution system analysis requires: - ⏱️ **2-3 weeks** per study - 💻 Complex Python/DSS scripting - 📊 Manual data processing - 🎨 Custom visualization code - 📝 Extensive documentation ### The Solution With OpenDSS MCP Server: - ⚡ **30 minutes** per study (100x faster) - 💬 Natural language commands via Claude - 🤖 Automatic analysis and insights - 📈 Professional visualizations generated automatically - 📋 Instant report generation **Example:** ``` You: "Load IEEE13 feeder, optimize 2MW solar placement, and show voltage improvements" Claude: ✓ Loaded IEEE13 (13 buses) ✓ Optimized solar placement → Bus 675 ✓ Loss reduction: 32.4% ✓ Voltage violations fixed: 3 …
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.