QuantConnect
QuantConnect MCP server that provides AI assistants with comprehensive access to the QuantConnect algorithmic trading platform through 40+ tools covering the complete development lifecycle. Built with Python using FastMCP and the QuantConnect API, it enables project management, file operations, compilation, backtesting, optimization, live trading deployment, and AI-powered code assistance including PEP8 conversion and error enhancement. The implementation includes robust testing with both Python and C# algorithm examples, Docker deployment support, and integration with organization workspaces for local file access. Designed for quantitative developers and AI agents building, testing, and deploying trading algorithms, it streamlines the entire workflow from initial algorithm development through live trading deployment without requiring direct API knowledge.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/quantconnect/mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve QuantConnect from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.