MCP Integration Services

Service overview

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).

Recommended tech

• •MCP spec implementation (Node.js / Python), REST or GraphQL wrapping
• •GCP: Cloud Run, Cloud Build, Artifact Registry
• •OpenAPI / structured outputs, auth (API key, OAuth), rate limiting
• •Validation with Claude API, Cursor, and agent platforms
• •Unit and integration tests, documentation and examples

Expected outcomes

• •MCP endpoints discoverable by Claude and agent platforms
• •GCP deployment and ops setup
• •API docs and usage examples
• •Unit and integration test reports

Price range

Typically NT$80K–250K per project, depending on endpoint count and complexity

Engagement process

1. Discovery and API audit
2. Interface and MCP design sign-off
3. Quote and timeline
4. Development and testing
5. Handover and documentation

Further reading and proof points

If you are evaluating this service, these research notes and case-study entry points can help you assess scope, risks, and rollout options.