Production-Ready MCP Servers at Scale with Claude & Daytona

Coherence, a company focused on integrating intelligent chat interfaces into applications, addresses the challenge of scalable API integration by automating the generation of production-ready Model Context Protocol (MCP) servers using Anthropic's Claude Code and Daytona sandboxes. MCP, an open standard by Anthropic, enables AI agents to interact safely and systematically with external systems, but manually creating MCP servers for each customer is inefficient. To tackle this, Coherence employs Claude Code, a command-line tool for code generation, within secure, ephemeral Daytona environments to automate the process. The company leverages prompt engineering, iterative code generation, and rigorous testing to ensure each MCP server's quality, while caching, parallel generation, and resource management optimize performance. By automating these processes, Coherence enables AI agents to access APIs quickly and securely, marking a significant advancement in AI-driven software development.

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