SnapLogic and the Model Context Protocol (MCP)

Integrate data and tools for new AI initiatives

SnapLogic integrates AI, data, apps, and microservices into one platform, accelerating AI use cases and streamlining development with the innovative Model Context Protocol (MCP).

How it works:

• Standardized AI integration: MCP standardizes AI system interaction with external tools and data, improving LLM understanding
• Accelerated AI deployment: deploy MCP at scale to enhance connectivity beyond traditional APIs and CLIs
• Flexible client/server modes: supports both MCP client (integrating external MCP Servers into AI Agents) and server (converting existing SnapLogic integrations into MCP Servers) modes
• Robust governance and observability: access control (bearer tokens, OAuth roadmap) and full visibility into pipelines and AI agents
• Enterprise-grade agility: create, publish, and leverage internal and external services using APIs, MCP, pipelines, data services, and app integrations

Get the full SnapLogic MCP data sheet and learn how to empower your agile business in the AI era.