A Practical View Of Model Context Protocol In SaaS
Model Context Protocol (MCP) is beginning to shape how AI assistants connect with SaaS products. But the signals of how the SaaS market is adopting MCP are scattered across launch posts, documentation and open source repositories. It can be difficult to see what is experimental, what is in production and where competitors are actually investing.
Since its launch in 2024, MCP has moved from experiment to expectation in the space of a year, faster than most SaaS teams anticipated. For product and engineering leaders, MCP is becoming a set of concrete decisions about which use cases to support, which data and actions to expose, how to align AI features with existing security and compliance expectations, and where this work should sit on the roadmap.
This 24-page report consolidates public information from hundreds of SaaS companies to show how MCP is being adopted in practice. It maps adoption across verticals and company sizes, highlights common technical patterns, and provides a playbook that helps teams design MCP surfaces that are useful for AI assistants and safe for production use.
In the report you will find
- Overview of MCP for SaaS teams
- Adoption across SaaS verticals
- Vertical trends in MCP adoption
- Adoption patterns by company size
- Hosted vs local MCP patterns
- Authentication models in use
- Implementation guidance for SaaS teams
- Recommendations for an MCP roadmap
Turn MCP Adoption into a Product Advantage
MCP offers a standardized way for AI assistants to talk to SaaS platforms. As more vendors explore MCP servers and tools, for many product teams the question is shifting to how it fits into product, platform and security plans.
By grounding those discussions in observable adoption data and concrete examples, this report supports more focused internal planning, clearer customer conversations and a more credible long-term position on MCP within your product.
