"Git LFS" matching MCP servers:

Enables external agents to inspect and interact with a local single-project workbench via MCP, providing read-only tools for state, audit, resume, readiness, comparison, impact preview, and repair candidates, while proposals are saved for manual confirmation in the workbench.

Enables Applied AI Product Managers to scope financial-services and retail-banking AI engagements by searching proven use-case patterns, estimating ROI, flagging regulatory compliance considerations, and turning workshop notes into structured problem statements.

A single source of truth for a product's state, roadmap, and deferred work, read and written equally by you and your AI agent via web dashboard and MCP.

Integrates AI assistants with product management tools like Linear and Slack, providing specialized agents for discovery, strategy, prioritization, roadmap planning, and metrics definition via the Model Context Protocol.