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Developer Builds MCP Proxy to Fix Zero-Adoption Problem With Four AI DevTools

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A software developer built four internal AI tools — an incident commander, CI failure diagnoser, code governance checker, and DORA metrics dashboard — but achieved only around 20% adoption due to the friction of learning separate CLIs. Recognising that engineers rarely leave their code editor to use standalone tools, the developer identified distribution, not functionality, as the core problem. To address this, they created MCPlex, a stateless HTTP proxy that exposes any REST API as an MCP tool, allowing AI coding agents like Claude Code and Cursor to discover and call the tools automatically on startup. Engineers can now query the tools in plain English through their AI agent without ever learning a CLI or visiting a dashboard. MCPlex is open-source under the MIT licence and available on PyPI as mcplex-backplane.

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Developer Builds MCP Proxy to Fix Zero-Adoption Problem With Four AI DevTools · ShortSingh