Cool framework — zero-code agent creation is a great direction.
I built Chart Library, an API + MCP server that could be a useful built-in tool for financial use cases. It searches 24M historical chart patterns and returns what happened next — pattern matches, forward returns, market regime context.
One call: `GET https://chartlibrary.io/api/v1/intelligence/NVDA\`
MCP: `pip install chartlibrary-mcp` (19 tools)
Free: 200 calls/day
Could be a nice example tool for the finance vertical — any agent built with AutoAgent that touches stocks could use this for historically-grounded analysis.
Cool framework — zero-code agent creation is a great direction.
I built Chart Library, an API + MCP server that could be a useful built-in tool for financial use cases. It searches 24M historical chart patterns and returns what happened next — pattern matches, forward returns, market regime context.
One call: `GET https://chartlibrary.io/api/v1/intelligence/NVDA\`
MCP: `pip install chartlibrary-mcp` (19 tools)
Free: 200 calls/day
Could be a nice example tool for the finance vertical — any agent built with AutoAgent that touches stocks could use this for historically-grounded analysis.