Turn existing APIs, internal systems, and data sources into a secure capability layer for Claude, ChatGPT, and AI Agents.
We build Model Context Protocol (MCP) servers so your existing backend APIs, internal systems, and data sources can be discovered and called safely by Claude, Cursor, and compatible AI Agents. This lets enterprises bring AI into existing workflows without rebuilding core systems, with production-ready deployment on GCP (Cloud Run).
Typically NT$80K–250K per project, depending on endpoint count and complexity
If you are evaluating this service, these research notes and case-study entry points can help you assess scope, risks, and rollout options.
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