Optuna
This MCP server provides automated optimization and analysis capabilities using Optuna, a hyperparameter optimization framework. Built by Preferred Networks, it offers tools for creating and managing optimization studies with various samplers (TPE, NSGA-II, Random, GP), suggesting parameter values through ask/tell interfaces, and generating comprehensive visualizations including optimization history, Pareto fronts, parameter importance plots, and contour maps. The implementation supports both single and multi-objective optimization with persistent storage options, includes an integrated Optuna Dashboard for interactive analysis, and enables AI assistants to automatically tune hyperparameters for machine learning models, optimize input/output parameters for other MCP tools, or conduct systematic parameter searches across any optimization problem space.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/optuna/optuna-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Optuna from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.