About Pybme MCP
Pybme MCP is an MCP server published by corinne-wf-home in the AI category: model Context Protocol (MCP) server that wraps pyBME, enabling LLM agents to perform BME analysis through natural language rather than code.
The repository has 1 stars and 0 forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/corinne-wf-home/pybme-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (7)
compare_operator_approachesCompare Euclidean vs graph vs physics-informed operators
Parameters not published.
design_next_observation_or_scenarioRank candidate sensor placements by variance reduction
Parameters not published.
explain_uncertainty_driversIdentify what drives uncertainty at specific locations
Parameters not published.
fit_uncertainty_modelFit spatial or network covariance models with cross-validation
Parameters not published.
ingest_external_scenario_evidenceImport hard/soft observations and network topology
Parameters not published.
inspect_modeling_contextDetect problem type and recommend model families
Parameters not published.
run_uncertainty_updateRun BME prediction at estimation targets
Parameters not published.
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