Enables autonomous agents to orchestrate HubX mobile AI tools for vision diagnostics, voice transcription, photorealistic image generation, and spatial design through a native MCP interface.
Enables deterministic reconstruction of complex tables from OCR bounding-box payloads, recovering multi-column layouts, merged headers, and grid hierarchies. It also supports formula consistency auditing and sensitive PII redaction for document processing pipelines.
Enables AI agents and MCP clients to deterministically score creator short-video hooks for 3-second retention and scroll-stop effectiveness, returning structured JSON telemetry. It runs as a zero-dependency Python MCP server for seamless integration with Claude Desktop, Cursor, and Windsurf.
Enables extraction of numeric data points from visual bar, line, and scatter charts by calibrating coordinates and recovering structured tabular datasets from document payloads. Returns validated matrices and audit telemetry to MCP-compliant clients such as Claude Desktop and Cursor.
Enables AI agents and MCP-compliant clients to extract visual data from charts and graphs into structured markdown tables using deterministic, zero-dependency Python.
Enables multimodal OCR-based extraction of table grids and merged cells into Markdown with deterministic, zero-dependency execution through MCP for AI agents.
Enables autonomous shortform video editing by tracking speakers and dynamically reframing 16:9 footage into 9:16, with smart bounding box coordination for CapCut and MCP-compatible agent workflows.
Enables MCP-compatible clients to score the retention quality of the first three seconds of shortform video hooks using deterministic, zero-dependency Python tooling.
Enables edge LiDAR/depth point cloud processing into 2.5D occupancy grids for robotics safety and control, with native MCP integration for telemetry and actuator supervision.