"Linear" matching MCP servers:

Enables agents to keep Linear tickets current by treating the description as the ticket's state and comments as its log, with validated section patches, reconciled drift reporting, whole-ticket reads, typed comments, and a hash-checked claim-then-Done gate. Enforces these rules server-side so they hold across any client, including hands-off labels and refusal of stale or unverified writes.

An MCP server that enables Claude to train a linear regression model by simply uploading a CSV file, handling the entire ML pipeline from data preprocessing to model evaluation.

A server that enables AI assistants to interact with Linear's project management tools through the Model Context Protocol, supporting features like searching, creating, and updating issues, adding comments, and retrieving user profiles and team information.

Enables AI agents to pack trucks and shipping containers by generating validated 3D load plans with metrics like LDM, linear feet, and pallet positions through the Hansatic packing API.

Tracks meeting commitments, verifies completion via Slack/email/Linear, and sends escalating nudges with manager escalation when deadlines slip.

A sophisticated MCP server that provides a multi-dimensional, adaptive reasoning framework for AI assistants, replacing linear reasoning with a graph-based architecture for more nuanced cognitive processes.

Provides a suite of deterministic math tools powered by SymPy to handle algebra, calculus, linear algebra, and statistics via the Model Context Protocol. It enables smaller language models to delegate complex computations to a verified symbolic backend for accurate and reliable results.

Transforms unstructured natural language operational problems into rigorously formulated, validated, and solved Mixed-Integer Linear Programming (MILP) models via an autonomous multi-agent graph, bringing closed-loop Operations Research capabilities to LLM assistants and MCP clients.