MCP server for Claude Desktop: natural-language market research and strategy backtesting with the AlgoChains library.
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# AlgoChains Library MCP Ask market-research and trading-strategy questions in plain English, and let Claude pull data with [AlgoChains](https://algochains.ai), backtest strategies, and return **interactive charts inline** — built for [Claude Desktop](https://claude.ai/download) via the [Model Context Protocol](https://modelcontextprotocol.io). No coding required: describe the strategy, get a full backtest dashboard back in the chat. ## Install (easiest — one click) 1. Get your API key at [https://algochains.ai](https://algochains.ai). 2. Download the extension: [**algochains-library-mcp.mcpb**](https://algochains.ai/mcp/algochains-library-mcp.mcpb). 3. Double-click the downloaded file (or in Claude Desktop: **Settings → Extensions → Install extension…** and pick it). Claude Desktop shows an install dialog — paste your API key into the **AlgoChains API Key** field and confirm. 4. Fully quit Claude Desktop (**Cmd+Q** on macOS / quit from the system tray on Windows — closing the window is not enough) and reopen it. The first launch downloads the Python environment (a few hundred MB) — it can take several minutes and Claude Desktop may report the server disconnected once; it recovers on the next launch. The AlgoChains tools then appear under the tools icon in the chat box. ## Example asks Research: > *"Pick a heavily traded crypto coin and show me when it actually trades — busiest hours of > the day in 30-minute bins over the last 3 months. Shade the London, China, and Brazil market > opens so I can see what each one does to volume compared to NYSE."* Build & backtest: > *"Backtest an opening range breakout on SPY for me, the range is the first 10 minutes of > the New York session, give it a loose 2.5% trailing stop, and get me out by noon ET no > matter what. Run it over the past 2 months."* Forecast: > *"Where could Intel be trading 10 days from now? Give me the SDE forecast."* Forecast, anchored in the past (the dashboard overlays what the price …
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