Cruvero - AI Agent Ecosystem Platform
A production-grade, Temporal-native AI agent orchestration platform in Go: durable multi-agent workflows, governance, MCP integration, and an operational UI.
MCP
8 posts tagged “mcp”
MCP (Model Context Protocol) turns AI systems into tool-using systems. In production, that means treating tool calls as untrusted inputs, enforcing budgets, and instrumenting everything.
Start here:
PinnedGo + AI in Production
MCP Servers in Production: Hardening, Backpressure, and Observability (Go)
A production-first guide to running Model Context Protocol servers safely: threat modeling, input validation, budgets, rate limits, and telemetry, implemented with Go patterns.
Production Systems
Agent Observability That Doesn't Lie
Tracing decisions, tool calls, cost, and side effects across an agent system - without turning logs into a data leak.
Production Systems
Evals for Tool-Using Agents: Regression Tests Beyond Prompts
If your eval can't fail when a tool breaks, it's not an eval. Here's how to test tool selection, arguments, side effects, and safety - without flaky 'vibe checks.'
Production Systems
From Stdio to Enterprise: The MCP Gateway Pattern
When MCP outgrows local stdio servers, you need a gateway: auth, tenancy, quotas, routing, audit, and safe tool contracts - without killing developer velocity.
Production Systems
Tool Discovery at Scale: Solving the Million Tool Problem
Once you have dozens (or hundreds) of tools, 'just include all schemas' stops working. Here's a production-first playbook for tool discovery, ranking, and safe invocation.
Production Systems
The Real Security Model for Agents
Prompt injection is real - but it's not just an LLM problem. Secure agents by securing tools, secrets, egress, and outputs with a zero-trust contract.
Go MCP Server Ecosystem
Production-grade MCP servers in Go that expose iCloud, Todoist, and Notion as safe, typed tools for LLM agents.
No posts match your search.