"Spine" matching MCP servers:

Provides local-first repository architecture analysis with file-level proof, enabling agents to map codebases, locate implementations, trace call paths, and assess change impact with deterministic evidence.

Enables AI assistants to search books, manage reading lists, and access book collections and bookshelf data from SPINES via the Model Context Protocol.

Product management over a shared product spine — link customer feedback and insights to features, tasks, sprints and releases, then read closed-loop analytics (customer 360, funnels, retention, NRR) on the same records. Local stdio server via npx @aioproductoscom/mcp; also a 38-tool hosted remote (OAuth 2.1).

A local MCP server that lets any LLM agent manage Pine AI tasks — negotiate bills, cancel subscriptions, resolve disputes, and make phone calls on your behalf.

Enables autonomous robotic systems to generate and smooth trajectories with continuous position, velocity, and acceleration boundary constraints, analytic jerk minimization, spatial intelligence, and tactile control through MCP tools.

Enables users to identify unused columns in Amazon QuickSight SPICE datasets, remove them after confirmation, list and manage snapshots, and roll back changes to reduce storage costs and speed up refreshes.