This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Topics
Summary
AI summaryAdd Runtime Error status for backtests.
Full changelog
What's Changed
- Identify source of API calls to support multiple agents by @DerekMelchin in https://github.com/QuantConnect/mcp-server/pull/23
- Code generated by update_models.py by @DerekMelchin in https://github.com/QuantConnect/mcp-server/pull/24
- Add Runtime Error status for backtests by @DerekMelchin in https://github.com/QuantConnect/mcp-server/pull/25
- Add Tool to Fetch Latest Server Version by @DerekMelchin in https://github.com/QuantConnect/mcp-server/pull/26
- Fix test suite by @DerekMelchin in https://github.com/QuantConnect/mcp-server/pull/27
- Fix live trading tests by @DerekMelchin in https://github.com/QuantConnect/mcp-server/pull/28
- Fix ReadLiveOrders tool and tests by @DerekMelchin in https://github.com/QuantConnect/mcp-server/pull/30
- Add project/collaboration/lock/acquire tool by @DerekMelchin in https://github.com/QuantConnect/mcp-server/pull/31
- Fix live trading tests by @DerekMelchin in https://github.com/QuantConnect/mcp-server/pull/32
- Improve LLM understanding of lock feature by @DerekMelchin in https://github.com/QuantConnect/mcp-server/pull/33
- Add support for Metadata series in Strategy Equity live chart by @DerekMelchin in https://github.com/QuantConnect/mcp-server/pull/34
Full Changelog: https://github.com/QuantConnect/mcp-server/compare/0.0.6...0.0.7
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About QuantConnect/mcp-server
A Dockerized Python MCP server that bridges your local AI (e.g., Claude Desktop, etc) with the QuantConnect API—empowering you to create projects, backtest strategies, manage collaborators, and deploy live-trading workflows directly via natural-language prompts.
Related context
Beta — feedback welcome: [email protected]