"linear" matching MCP servers:

A symbolic mathematics MCP server supporting calculus, linear algebra, number theory, statistics, and unit conversion via natural language.

Enables reliable engineering and scientific computation through tools for exact arithmetic, unit-aware formulas, calculus, linear algebra, statistics, uncertainty propagation, and physical constants, all executed safely in reproducible subprocesses.

A Model Context Protocol server providing mathematical and scientific computing capabilities via NumPy, pandas, SciPy, and Matplotlib, with 19 tools for linear algebra, statistics, numerical methods, data processing, and plotting.

A lightweight MCP server for linear-static structural analysis of bridges and building frames, providing tools to build 3D beam/truss models, analyze with built-in or CalculiX solvers, and export to FreeCAD.

A universal mathematics MCP server that gives LLM clients full access to SageMath for symbolic calculus, number theory, linear algebra, and more, with persistent state across tool calls.

Provides econometric modeling capabilities through R, enabling AI assistants to perform sophisticated analyses including linear regression, panel data models, instrumental variables regression, and diagnostic tests.

Enables mathematical and scientific computations including linear algebra operations (matrices, eigenvalues, decompositions), vector calculus (gradients, curl, divergence), and visualization of vector fields and functions.

Enables solving linear programming (LP) and mixed-integer linear programming (MILP) optimization problems through natural language, with built-in simplex and branch-and-cut solvers plus infeasibility diagnostics. Includes optional OR-Tools fallback for larger problems and supports parsing optimization problems from natural language descriptions.

Provides linear programming (LP), mixed-integer programming (MIP), and quadratic programming (QP) optimization capabilities using the HiGHS solver, enabling AI assistants to solve complex optimization problems like production planning, logistics, and portfolio optimization.

Enables AI applications to solve optimization problems including linear programming, mixed-integer programming, and quadratic programming using the Gurobi solver installed on the local device.

Provides a local, agent-maintained product context layer over MCP, serving structured strategy, competitor, customer feedback, and feature inventory data to any AI tool such as Claude, Cursor, or ChatGPT, with local data storage, bring-your-own-LLM support, and weekly evidence-based roadmap reviews that can sync suggestions to Jira or Linear.