NEM Explorer
About
Query Australia's electricity market (NEM/AEMO): prices, generation, FCAS, interconnectors, bids.
Details
- Author
- brensch
- Categories
- Finance
Jump to
Setup
Install NEM Explorer in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/brensch/scadaminer-ai-toolkit
Follow the installation instructions in the repository README, then restart your MCP client.
Connect Claude toSCADA Miner— an AI-ready data warehouse for Australia's National Electricity Market (NEM). Ask natural-language questions about AEMO dispatch data: spot prices, generation output, FCAS markets, interconnector flows, constraints, bids, and more. Claude turns them into safe, read-only SQL against the warehouse and answers with numbers and charts.
The toolkit is a thin wrapper around the SCADA Miner remote MCP server (https://chat.scadaminer.com/mcp). The server does the work; this repo just makes it easy to add.
Pick the path that matches how you use Claude.
Adds the connectorplusNEM-specific slash commands and a pre-prompted NEM analyst subagent.
/plugin marketplace add brensch/scadaminer-ai-toolkit /plugin install scadaminer@scadaminer
Claude Code — connector only (one-liner)
Just the MCP connection, no extra commands:
claude mcp add --transport http scadaminer https://chat.scadaminer.com/mcp
Claude.ai / Claude Desktop — custom connector
Seedocs/connectors.mdfor screenshots-level detail and Team/Enterprise notes.
Slash commands(mirror the server's real workflow):
Subagent:nem-analyst— a focused agent that follows the SCADA Miner capability-first workflow (resolve entities → prefer a validated capability → fall back to hand-written SQL → chart → cite numbers).
Skills live inskills/and can be used with the SCADA Miner MCP server in any Skills-capable Claude surface.
This repo contributes only configuration and prompts — no code runs locally.
- App:https://chat.scadaminer.com
- MCP endpoint:https://chat.scadaminer.com/mcp
- Issues / requests:https://github.com/brensch/scadaminer-ai-toolkit/issues
Bridge Town is an MCP-native, git-versioned financial modeling platform for FP&A teams and finance leaders. AI agents use Bridge Town tools to create projects, write Python model files, run models in isolated cloud sandboxes, query data, write outputs to Google Sheets, create dashboards, branch scenarios, and collaborate with teammates.
The Capital.com MCP Server lets your AI assistant talk to your trading account directly. Market data, position checks, trade previews – all in plain language, without leaving your AI tool.
Coinrule Agentic Trading MCP enables investors to create, backtest, execute, and manage trading agents through natural language across stocks, crypto and ETFs
Invest with Claude and other AI assistants
Australian Consumer Data Right Product Data
Remote MCP server for historical crypto & prediction-market data: search ~500K instruments, live market stats (OHLC, turnover, spreads, depth, slippage) and tick-data purchase. Keyless for catalog & stats; optional OAuth for account tools. Endpoint: https://cryptostruct.com/mcp
Cross-border debt collection from your AI assistant: check cases, get pricing, submit new cases.
Read-only MCP server for your Evibe investment portfolio + live market data (holdings, performance, dividends, benchmarks, screeners). Works with Claude & ChatGPT.
Financial and quantitative modeling engine for AI agents. Typed, named, deterministic.
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
