RecordPoint unveils MCP Server for governed AI data

RecordPoint has launched a Model Context Protocol (MCP) Server that it says gives organisations a standard way for external AI agents and platforms to access governed data in its system.

The product serves as an interface between RecordPoint's governed records and AI software such as copilots, agents, and custom large language model applications. RecordPoint positions the release as a response to security and compliance concerns that can arise when businesses connect AI tools to internal information sources.

Many companies are adopting AI tools but still face questions about what data those tools can access and how that access is controlled. In regulated environments, compliance and risk teams often require auditability and consistent permissioning across repositories. RecordPoint argues that fragmented approaches and one-off connections can lead to inconsistent controls.

MCP is an emerging approach for linking AI systems to external tools and data sources through a common interface. RecordPoint's server is designed to connect its governance platform to that ecosystem.

Joseph Pearce, RecordPoint's Head of Product, said the launch is about faster access to governed information without custom work or expanded access rights.

"If you're building AI agents, deploying AI platforms, or scaling AI adoption across the enterprise, the RecordPoint MCP Server gives you the governed data connectivity you need without the security and compliance headaches," said Joseph Pearce, Head of Product, RecordPoint.

Standard access

RecordPoint says the server allows AI systems to discover and use governed resources through a consistent mechanism, removing the need for bespoke integrations that connect each AI tool to each data source.

Custom integrations remain common in corporate AI deployments. Teams often wire up access to specific collaboration services, document stores, or line-of-business systems. That approach can create multiple pathways into sensitive data and increase the burden on audit and compliance teams, which must track how information is accessed and processed.

RecordPoint says its MCP Server provides permissioned, auditable access to governed records and can expose governed data without leaking sensitive content. The company did not publish technical implementation details, customer names, or pricing as part of the announcement.

Pearce also pointed to the state of corporate repositories and the time it can take to clean up legacy information estates.

"You don't have to wait 18 months to clean up your SharePoint, Google Drive, or file shares. You can safely expose them today," said Pearce.

Governance focus

RecordPoint operates in the data governance and records management market, where organisations manage retention, classification, access controls, and audit requirements. In recent years, vendors in the category have faced pressure to show how their tools fit with AI deployments, particularly where AI is used to search, summarise, draft, or make recommendations based on internal documents.

In its announcement, RecordPoint outlined enterprise risks when AI tools draw on corporate data, including limited visibility into what AI systems can access, inconsistent integration methods, and security concerns when connections require elevated permissions. It also said a lack of standardisation slows broader adoption.

RecordPoint says its MCP Server links governed enterprise data with AI environments so AI systems can work with trusted information. It also says a standard interface reduces the spread of one-off access paths that must be documented and justified in audits.

"Most governance vendors are still figuring out how to bolt AI onto their existing architectures. But every bespoke AI integration becomes another pathway auditors will ask you to explain," said Pearce.

Product scope

RecordPoint listed three core areas for the MCP Server: exposing governed data without leaking sensitive content, permissioned and auditable AI access, and integration with AI agents or platforms.

The company said its platform was built with a focus on data governance across "modern data estates". It positioned the new server as a way for regulated organisations to move from pilot projects to production AI use while keeping controls in place.

"This MCP Server is a standard interface for AI systems to tap into to receive compliant, governed data, regardless of where you are on your governance journey," said Pearce.