PromptOT Adds MCP Server to Let AI Coding Tools Manage Production Prompts

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PromptOT, a prompt management platform for production LLM applications, has integrated a Model Context Protocol (MCP) server to allow AI coding assistants like Claude, Cursor, and Codex to interact directly with prompt workspaces. Previously, developers had to leave their AI tools and manually update prompts through a separate dashboard, creating a disruptive context switch. The new MCP server exposes 23 structured tools across five areas, enabling assistants to list, create, update, version, and publish prompts without unrestricted database access. Using the standardized MCP protocol means PromptOT needs only one integration instead of separate custom builds for each AI client. The update allows teams to manage prompt blocks, runtime variables, versioning, and rollbacks entirely from within their preferred AI-assisted development environment.

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