$ loading_
Safely let your AI run code, query databases, use LMs, and commit to GitHub.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.nikhilgogulwar/universalbench" MCP server from askskill:
Run: claude mcp add --transport http 'io-github-nikhilgogulwar-universalbench' 'https://universalbench-mcp.penantiaglobal.workers.dev/u/{api_key}'Use UniversalBench to run this Python script, read sales.csv, aggregate revenue by month, and return the result table with a brief conclusion.
Returns the execution result, a monthly summary table, and a brief explanation of sales trends.
Use UniversalBench to connect to the test database, query the top 10 products by order volume in the last 30 days, and write a short business analysis summary.
Returns the query results along with a readable summary of business insights.
Use UniversalBench to add a health check API to the existing Node.js project, run basic tests, commit the changes to the GitHub repository, and provide the commit note.
Returns a summary of changes, test results, commit status, and the related commit message.
No documentation provided
Check the source repo for usage and examples.
Access public GitHub code and docs for AI-powered development research.
Manage GitHub projects, issues, milestones, labels, and repository stats efficiently.
Compare LLM benchmarks, pricing, and recommendations for better model selection.
Generate, search, and maintain codebase documentation for faster team development.
Connect AI to GitHub to manage repos, issues, PRs, and workflows.
Query multiple AI models for code reviews, debates, and diverse perspectives.