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Breaks barriers between diverse AI models and tools to enable true cross-platform collaboration — transforming AI from isolated systems to a connected ecosystem.
AI systems that rely only on internal model logic without external tools remain isolated thinkers — intelligent but actionless — creating performance bottlenecks that limit real business outcomes.
Function Call once allowed AI to access external APIs, but each connection demands heavy coding and maintenance, making cross-platform integration costly and inefficient to scale.
MCP replaces rigid API bindings with a unified protocol layer, enabling seamless interoperability across tools and platforms, while simplifying AI development and accelerating deployment.
Comprehensive lifecycle MCP services that simplify Agent development and accelerate intelligent application delivery.
Access 100+ built-in services across domains like productivity, data, and daily operations — all ready for seamless integration.
Low-Cost Service Hosting
The AI gateway enables fast API conversion and hosting, reducing integration complexity and custom development costs.
Visual debugging tools let developers simulate calls, inspect parameters, and resolve protocol issues in real time.
Build and deploy MCP-based agents in under five minutes — from idea to application with minimal technical effort.
Leverage the MCP protocol to reuse tools across models and systems, ensuring interoperability without redundant coding.
Chain multiple services, set flexible conditions, and adapt workflows dynamically to handle evolving business logic.
Fragmented AI Toolchains Enterprises rely on diverse AI tools, APIs, and platforms that lack a common protocol, leading to data silos and inconsistent interoperability.
High Integration Complexity Function call–based mechanisms depend on hardcoded API bindings, making tool invocation inflexible, costly, and hard to scale.
Limited Cross-Model Collaboration Most AI systems operate in isolation, unable to share real-time context or coordinate actions across models or environments.
Governance and Security Risks Without unified controls, managing multi-model permissions and sensitive data flows becomes error-prone and noncompliant.
Preloaded with 100+ MCP services covering diverse industries and scenarios, the platform offers a secure, privatized hosting environment. Enterprises can onboard their in-house MCP services for unified management and sharing, quickly building AI applications without extra integrations or tool sourcing.
Through the Defore iPaaS platform, enterprises can easily register existing APIs from systems like CRM or ERP as MCP services. These can be hosted with minimal cost, reused in AI development, and integrated across workflows to reduce development complexity and technical barriers.
A complete logging framework records full service call traces, including parameters, protocol exchanges, and responses. It supports quick debugging, operational analysis, and anomaly tracing, providing reliable insights for continuous optimization and stable system performance.
A short subtitle to highlight the value of your services.
Automated meeting minutes generation
Cross-system data collaboration
Multi-channel customer engagement
Smart product recommendation
AI-generated multimedia content
Academic and knowledge organization
Predictive equipment maintenance
Intelligent supply chain scheduling
Policy consulting and citizen support
Emergency response management
AI-assisted clinical diagnosis
Patient tracking&follow-up management
