pybme-mcp
Rank #54879glama/wiesnerfriedman/pybme-mcp
Enables LLM agents to perform Bayesian Maximum Entropy geostatistical analysis through natural language rather than code, supporting spatial, network, and physics-informed uncertainty modeling.
pybme-mcp is a Model Context Protocol (MCP) server published by wiesnerfriedman. It ranks #54879 of 58,900 servers tracked on MCP Toplist, and its repository has 1 GitHub stars. pybme-mcp is listed on Glama, and ships as a single rolling release with no explicit version metadata. It was first listed on Apr 14, 2026.
Ranks ahead of 4,021 of 58,900 servers on MCP Toplist.
Use pybme-mcp
pybme-mcp 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
wiesnerfriedman
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 pybme-mcp?
- Enables LLM agents to perform Bayesian Maximum Entropy geostatistical analysis through natural language rather than code, supporting spatial, network, and physics-informed uncertainty modeling.
- Who maintains pybme-mcp?
- pybme-mcp is maintained by wiesnerfriedman, which publishes 1 MCP server (0 total versions) tracked on MCP Toplist.
- Is pybme-mcp an official MCP server?
- pybme-mcp is not on the Official MCP Registry. It is listed on Glama.
- How many versions does pybme-mcp have?
- pybme-mcp ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for pybme-mcp?
- The source code for pybme-mcp is hosted at github.com/wiesnerfriedman/pybme-mcp.