MCP Starter Template
Launch an MCP server quickly with sane defaults.
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Public preview stays open. Full steps, assets, and repo access live behind Vault when available.
What you get
- Server scaffolding
- Auth and rate limit hooks
- Deployment recipe
Plus step-by-step usage and direct repo access.
A deep, command-level teardown of claudeagentsdk (#005): an open-source agent workspace built around the Anthropic Agent SDK, with a FastAPI backend, a Vite/React frontend, and an optional Vercel Sandbox runner for async, reproducible runs.
I built trustmrr-cli — a TypeScript CLI giving AI agents access to verified revenue data for 4,900+ startups. Here's the architecture, the API workarounds, and why agent-native CLI tools are the missing layer.
The useful agent CLI comparison is not a winner ranking. It is a control-surface audit: what the tool can see, edit, execute, delegate, extend, report, and recover from before an operator trusts it.
A coding-agent control plane is the operator layer for skills, MCP servers, config, sessions, memory, routing, and safety gates around agent work.
A practical map of Starkslab's AI developer tools: x-scheduler, minimal-agent-framework, datafast-cli, trustmrr-cli, and the proof boundaries around each.
A practical map of the production stack behind AI agents: runtime, tools, memory, workflows, observability, evals, guardrails, deployment gates, and control-plane boundaries.
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