Method

Ax / BoTorch Bayesian optimisation

Meta Adaptive Experimentation · v1.0.0

provenance_verified author_implementation paid_per_execution published

What it does

Adaptive experimentation and Bayesian optimisation with Ax and BoTorch for scientific parameter search.

When to use it

Adaptive experimentation and Bayesian optimisation with Ax and BoTorch for scientific parameter search.

Implementation provenance

This MCP is labelled author_implementation. Tools bind to author repository code.

Paper(s)

No papers linked.

Code: https://github.com/facebook/Ax

Licence: See upstream repository

Available MCP tools

`run`

Invoke Ax / BoTorch Bayesian optimisation (catalog entry — wire author MCP or Paper2MCP for full tools)

Provenance: author_provided · bo_torch_ax:run

{
  "properties": {
    "problem": {
      "type": "string"
    }
  },
  "type": "object"
}

Example invocation

curl -s -X POST http://127.0.0.1:8765/api/v1/methods/bo_torch_ax/execute \
  -H 'Content-Type: application/json' \
  -d '{"tool_name":"run","arguments":{}}'

Validation evidence

provenance_verified: claimed — Upstream repository linked and catalogued. Not execution-verified until MCP tools pass tests.

Price · usage · pay

Current version: bo_torch_ax@1.0.0

Price: $0.1000 / execution

Executions: 0 · Creator earnings: $0.00

Citation

Meta Adaptive Experimentation. Ax / BoTorch Bayesian optimisation (v1.0.0). LemmaMCP method `bo_torch_ax`. Implementation: author_implementation. Verification: provenance_verified.