SnapLogic, the Agentic Integration Company, today announced expanded support for the Model Context Protocol (MCP), building on its 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. 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 expands MCP support for secure, governed AI agent deployment.
MCP enables LLMs and agents to interact with enterprise tools dynamically.
SnapLogic APIM 3.0 pipelines and APIs now function as MCP servers.
Features enterprise-grade security, observability, and dual agent capabilities.
Supports any pipeline as MCP tool without central catalog.
Recognized as Representative Provider in 2025 Gartner Innovation Insight: MCP Gateways.
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. “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. 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.
SnapLogic has also been recognized as a Representative Provider in the 2025 Gartner® Innovation Insight: MCP Gateways.
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Gartner, Innovation Insight: MCP Gateways, 2025, Kieth Guttridge, Andrew Humpherys, Gary Olliffe, Aaron Lord, 2 September 2025
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This expanded MCP support positions SnapLogic as a key enabler for secure, scalable agentic AI, allowing enterprises to harness open standards for innovative, governed workflows.
SnapLogic is the Agentic Integration Company, integrating AI, data, applications, and microservices into one powerful platform that transforms how enterprises connect, automate, and scale. Unlike legacy integration tools, SnapLogic is built for the AI era and trusted by global leaders, including AstraZeneca, Adobe, Verizon, and Sony. With its industry-leading platform, SnapLogic empowers every team across the enterprise to securely build faster, smarter, AI-connected workflows – all through natural language and intuitive low-code design.
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