SnapLogic launches MCP Builder for AI agent integration

SnapLogic has launched MCP Builder, a product designed to help organisations turn existing integration pipelines into tools for AI agents.

The release comes as companies try to move AI projects beyond the pilot stage. Gartner estimates that 50% of AI projects are abandoned after proof of concept.

MCP Builder is generally available and built into SnapLogic's MCP Server workflow. SnapLogic describes MCP, or Model Context Protocol, as an emerging standard for linking AI agents to business systems, data sources and internal processes.

The product uses templates to generate MCP servers from existing integrations, OpenAPI specifications and API management services. This allows businesses to expose workflows and systems to AI agents without rebuilding those processes from scratch or manually writing MCP implementations.

For companies experimenting with AI agents, the challenge often lies less in the underlying model than in giving those systems controlled access to internal applications and information. Across the software market, vendors are trying to position their platforms as the connective layer between large language models and enterprise systems.

SnapLogic is targeting that gap by focusing on assets customers already use. Rather than asking organisations to design new interfaces for agents, it says MCP Builder can convert deterministic pipelines into governed MCP tools in a single step.

Governance focus

The broader platform includes identity propagation, monitoring and lifecycle controls intended to manage how AI agents interact with downstream systems. According to SnapLogic, it also includes more than 1,000 connectors to enterprise applications and services.

Those features reflect a wider market concern about how agentic AI systems will be supervised once deployed in production. Businesses in regulated sectors, in particular, have sought ways to track what agents do, limit their access rights and maintain audit trails when automated actions affect internal records or customer data.

SnapLogic says its platform includes Trusted Agent Identity to carry user identity and permissions across connected systems, as well as an AI Gateway to monitor and control MCP traffic at scale. It also points to its existing pipeline architecture as a way to keep automated processes auditable and predictable.

The emphasis on deterministic execution is notable because many companies remain cautious about allowing generative AI systems to trigger business actions without clear guardrails. In practice, many AI initiatives have stalled when organisations struggle to connect models to operational systems in ways that satisfy security, compliance and reliability requirements.

Market pressure

The launch also highlights how software suppliers are adapting to demand for practical AI deployment tools rather than standalone models. Over the past year, attention has shifted from experimenting with chatbots and copilots to the mechanics of turning those systems into software agents that can retrieve data, trigger workflows and complete tasks across multiple business applications.

That shift has increased interest in standards such as MCP, which are intended to make those connections more consistent. At the same time, the market remains fragmented, with many businesses still relying on a patchwork of APIs, integrations and custom code to connect AI services to enterprise software.

SnapLogic's approach builds on its existing position in integration software, where it already connects applications, data sources and services for large organisations. The company lists customers including AstraZeneca, Adobe, Verizon and Sony.

Jeremiah Stone, Chief Technology Officer at SnapLogic, said the issue for many businesses is not access to AI models but implementation. "Enterprises don't have a shortage of AI models or agents. They have a shortage of execution," Stone said.

He added: "The challenge is connecting agents to trusted data, systems, and business processes while ensuring secure, scalable operations. MCP Builder helps organisations build on the integrations and processes they already trust, eliminating complexity and accelerating the path to business value."