SnapLogic, which these days bills itself as the Agentic Integration Company, has announced expanded support for the Model Context Protocol (MCP), building on their initial announcement in July 2025. MCP is an open standard that enables large language models (LLMs) and AI agents to dynamically discover, access, and interact with enterprise tools and services. SnapLogic provides everything you need to connect data, apps, APIs, and AI. With this update, SnapLogic is evolving from early adoption of MCP toward enterprise-ready deployment, enabling organizations to securely govern, monitor, and orchestrate MCP-powered agentic systems at scale. SnapLogic’s support of the MCP now enables secure MCP servers, governance, and orchestration, advancing SnapLogic’s vision of the agentic enterprise
“Enterprises need real-world solutions, not magic tricks,” said Dayle Hall, CMO at SnapLogic. “The same principle applies today. Today we’re entering an era of agents. A time when AI isn’t bolted on to legacy systems but embedded at the very core of how your business runs. At SnapLogic, this vision comes to life through agentic integration.”
Hall emphasized that SnapLogic is expanding support for Model Context Protocol, bringing secure, governed, enterprise-ready AI agent connectivity to scale.
“With new capabilities, enterprises can now deploy MCP servers directly in SnapLogic with enterprise-grade security, monitor and govern agentic systems with full observability, and safely operationalize AI-native architectures beyond simple automation,” Hall said. “We’re helping organizations move from exploration to execution, unlocking the true power of agentic AI.”
MCP support in SnapLogic allows pipelines and APIs managed through SnapLogic APIM 3.0 to function as MCP servers, ready to be discovered and consumed by AI agents. Enterprises can now deploy and manage these MCP servers directly within SnapLogic, apply authentication controls, and gain visibility into activity through built-in observability. These enhancements ensure enterprises can operationalize agentic AI safely, flexibly, and with full governance.
“When we first announced MCP support in July, we saw immediate interest from enterprises eager to explore agentic architectures,” said Jeremiah Stone, CTO of SnapLogic, who is responsible for product and technology strategy and for guiding the development and future direction of the SnapLogic platform. “Today, by extending MCP with secure server capabilities and governance, we’re giving organizations the confidence to operationalize AI-native systems at scale. By combining open standards like MCP with SnapLogic’s low-code environment and policy controls, we’re enabling enterprises to move beyond simple automation to systems that can truly understand, decide, and act.”
Stone explained a core problem with AI.
“Enterprises eager to adopt AI often overlook a fundamental truth: AI thrives on modern, loosely coupled environments with normalized integration infrastructure and falters in fragmented, rigidly operated legacy environments,” he said. “Decades-old heterogeneous integration tooling landscapes, point-to-point connections, and data fragmentation silently undermine and doom even the most promising AI initiatives. Modernizing and normalizing the enterprise integration layer is not just a matter of operational hygiene; it is a strategic imperative.”
Key advances in SnapLogic’s MCP support include: enterprise-grade security. Current authentication is through bearer tokens, with OAuth support coming, to ensure secure access control; governance and observability, where enterprises can track MCP server activity, monitor requests, and manage compliance under their own domain; SnapLogic agents can now both consume and expose MCP interfaces, providing flexibility across multi-vendor environments; and because of the open and flexible design, any SnapLogic pipeline with a defined input and output can function as an MCP tool, accelerating development without requiring a central catalogue..
By extending MCP within the SnapLogic platform, enterprises can rapidly compose intelligent, responsive, and governed AI architectures. Teams can expose data and workflows to AI agents, securely orchestrate systems across vendors, and build a new class of AI-powered experiences.
This announcement marks the next step in SnapLogic’s ongoing leadership in AI integration — from its first AI features in 2017 with IRIS, to generative AI capabilities like SnapGPT Copilot and AgentCreator, to today’s expansion of MCP. SnapLogic continues to deliver on its mission to integrate everything, create anything, and now empower enterprises to embrace agentic AI at scale.