"author:ketankshukla" matching MCP servers:

Enables agents to perform semantic search, text comparison, clustering, and zero-shot classification locally without API costs, allowing repeated in-loop use.

An MCP server demonstrating sampling, where the server asks the host to run model calls, with a spend gate that estimates costs and refuses over-budget calls.

A playful, educational MCP server with tools like dice rolling, a cookie jar, and secret codes, built to teach the Model Context Protocol to beginners.

Enables FinOps teams to investigate cloud-spend anomalies, draft and approve savings actions, and simulate execution safely without affecting real cloud accounts.

MCP server that enables an agent to spawn sub-agents (a crew) via a local tool, allowing delegation of large tasks to parallel workers with a human approval gate and efficient token usage.