{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_rb38pxwr86uy","handle":"algochains-library-mcp","url":"https://wellknown.network/agents/algochains-library-mcp","links":{"self":"https://wellknown.network/agents/algochains-library-mcp/record.json","html":"https://wellknown.network/agents/algochains-library-mcp","markdown":"https://wellknown.network/agents/algochains-library-mcp/record.md","api":"https://wellknown.network/api/v1/agents/algochains-library-mcp","status":"https://wellknown.network/api/v1/agents/algochains-library-mcp/status","claim":"https://wellknown.network/agents/algochains-library-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/algochains-library-mcp/claim.json","badge":"https://wellknown.network/agents/algochains-library-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/algochains-library-mcp/history","tools":"https://wellknown.network/api/v1/agents/algochains-library-mcp/tools"},"ard":{"identifier":"urn:air::server:algochains-library-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"algochains-library-mcp","summary":"MCP server for Claude Desktop: natural-language market research and strategy backtesting with the AlgoChains library.","description":"# AlgoChains Library MCP\n\nAsk market-research and trading-strategy questions in plain English, and let Claude pull\ndata with [AlgoChains](https://algochains.ai), backtest strategies, and return **interactive\ncharts inline** — built for [Claude Desktop](https://claude.ai/download) via the\n[Model Context Protocol](https://modelcontextprotocol.io).\n\nNo coding required: describe the strategy, get a full backtest dashboard back in the chat.\n\n## Install (easiest — one click)\n\n1. Get your API key at [https://algochains.ai](https://algochains.ai).\n2. Download the extension: [**algochains-library-mcp.mcpb**](https://algochains.ai/mcp/algochains-library-mcp.mcpb).\n3. Double-click the downloaded file (or in Claude Desktop: **Settings → Extensions → Install\n   extension…** and pick it). Claude Desktop shows an install dialog — paste your API key\n   into the **AlgoChains API Key** field and confirm.\n4. Fully quit Claude Desktop (**Cmd+Q** on macOS / quit from the system tray on Windows —\n   closing the window is not enough) and reopen it.\n\nThe first launch downloads the Python environment (a few hundred MB) — it can take several\nminutes and Claude Desktop may report the server disconnected once; it recovers on the next\nlaunch. The AlgoChains tools then appear under the tools icon in the chat box.\n\n## Example asks\n\nResearch:\n> *\"Pick a heavily traded crypto coin and show me when it actually trades — busiest hours of\n> the day in 30-minute bins over the last 3 months. Shade the London, China, and Brazil market\n> opens so I can see what each one does to volume compared to NYSE.\"*\n\nBuild & backtest:\n> *\"Backtest an opening range breakout on SPY for me, the range is the first 10 minutes of\n> the New York session, give it a loose 2.5% trailing stop, and get me out by noon ET no\n> matter what. Run it over the past 2 months.\"*\n\nForecast:\n> *\"Where could Intel be trading 10 days from now? Give me the SDE forecast.\"*\n\nForecast, anchored in the past (the dashboard overlays what the price …","publisher":null,"homepage":"https://algochains.ai/docs/mcp","repository":null,"version":"0.2.0","license":null,"protocols":["mcp"],"tags":["algochains","backtesting","claude","mcp","trading"],"pricing":null,"endpoints":[{"url":"pypi:algochains-library-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"analytics.reporting","name":"Reporting & Dashboards","confidence":1,"provenance":"derived"},{"slug":"finance.markets","name":"Markets & Trading","confidence":1,"provenance":"declared"}],"categories":["analytics","finance"],"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":"algochains-library-mcp","registry":"pypi","observedAt":"2026-11-02T21:29:24.223Z","publishedAt":"2026-08-06T21:43:26.281226Z","latestVersion":"0.2.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"algochains-library-mcp","url":"https://pypi.org/project/algochains-library-mcp/","firstSeenAt":"2026-09-09T08:22:08.643Z","fetchedAt":"2026-11-02T21:27:56.298Z","normalizedAt":"2026-11-02T21:27:56.298Z"}]},"firstSeenAt":"2026-09-09T08:22:08.643Z","updatedAt":"2026-11-02T21:29:24.223Z"}