SnapLogic Expands Support for Model Context Protocol, Advancing SnapLogic’s Vision of the ‘Agentic Enterprise’

SnapLogic, the Agentic Integration Company, is expanding support for the Model Context Protocol (MCP), building on its initial announcement in July 2025—evolving from early adoption of MCP toward enterprise-ready deployment, enabling organizations to securely govern, monitor, and orchestrate MCP-powered agentic systems at scale

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.

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, according to the company.

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, said SnapLogic.

“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. “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.”

Key advances in SnapLogic’s MCP support include:

• Enterprise-grade security – Current authentication via bearer tokens, with OAuth support coming, ensures secure access control.
• Governance and observability – Enterprises can track MCP server activity, monitor requests, and manage compliance under their own domain.
• Dual capabilities – SnapLogic agents can now both consume and expose MCP interfaces, providing flexibility across multi-vendor environments.
• 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 catalog.

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, the company said.

For more information about this news, visit www.snaplogic.com.