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Inspect Pakunoda project state, review scores, and trigger hyperparameter searches.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Pakunoda-MCP" yet — see the docs or source repo.
Connect to Pakunoda-MCP, list the candidates and their scores in the current project, sort them from highest to lowest, and summarize the key differences among the top five candidates.
A ranked candidate list with scores and a brief summary of the differences among the top five candidates.
Use Pakunoda-MCP to start a hyperparameter search based on the current best candidate configuration, and explain the parameter ranges, job status, and how to retrieve the results.
Confirmation that the search job has started, including parameter ranges, status, and how to check the results later.
Using Pakunoda-MCP, provide an overview of the current project state, including available resources, tools, prompt templates, and the key details of the most recent experiment.
A project state summary covering available capabilities and the most important details of the latest experiment.
Query an AI project portfolio, search by tech, and get project details.
Connect to the mcp API via MCP to extend AI tool capabilities.
Build, debug, and manage software tasks with natural language across LLMs.
Search Pawn packages, inspect repositories, and view ecosystem statistics.
Give MCP-compatible AI clients real context for Pinoox PHP HMVC projects.
Run LLM evaluations, experiments, and custom evaluators through a standardized MCP interface.