HiGHS MCP Server
Rank #13000glama/wspringer/highs-mcp
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.
HiGHS MCP Server is a Model Context Protocol (MCP) server published by wspringer. It ranks #13000 of 58,832 servers tracked on MCP Toplist, and its repository has 16 GitHub stars. HiGHS MCP Server is listed on Glama, and ships as a single rolling release with no explicit version metadata. It was first listed on Jan 11, 2026.
Ranks ahead of 45,832 of 58,832 servers on MCP Toplist.
Use HiGHS MCP Server
HiGHS MCP Server doesn’t publish a machine-readable install config. Follow the setup instructions in its repository ↗, or open one of its registry listings above.
Listed on 1 registry
wspringer
Other servers by wspringer
View all wspringer servers →Not versioned
This server is published through a registry that does not expose explicit version metadata, and no GitHub release tags were found on the linked repository. The listing tracks a single rolling release.
Frequently asked questions
- What is HiGHS MCP Server?
- 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.
- Who maintains HiGHS MCP Server?
- HiGHS MCP Server is maintained by wspringer, which publishes 2 MCP servers (2 total versions) tracked on MCP Toplist.
- Is HiGHS MCP Server an official MCP server?
- HiGHS MCP Server is not on the Official MCP Registry. It is listed on Glama.
- How many versions does HiGHS MCP Server have?
- HiGHS MCP Server ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for HiGHS MCP Server?
- The source code for HiGHS MCP Server is hosted at github.com/wspringer/highs-mcp.