Product updates, implementation guides, and ideas for shipping Model Context Protocol servers faster.
Large language model (LLM) integrations become materially more useful when a model can discover and call tools: a ticketing API, a knowledge base, a payment workflow, a database...
Autonomous assistants are no longer selected on model quality alone. A useful assistant must decide when to call a tool, retrieve the right business context, respect permissions,...
Enterprise AI integration is moving beyond the question of whether a model can call a tool. The harder question is whether thousands of users, agents, workflows, and services can...
Connected language systems need more than a model endpoint. They need a reliable way to receive requests, retrieve trusted context, call external tools, enforce access rules, and return predictable responses without adding unnecessary infrastructure.