RecordPoint unveils MCP Server to govern enterprise AI

RecordPoint has launched an integration for Model Context Protocol (MCP) servers, which it says provides a standard way to connect external AI agents and platforms to governed data stored in RecordPoint.

RecordPoint positions the MCP Server as a security and compliance layer between AI tools and corporate information stores. It says the integration lets copilots, agents and custom large language model applications access governed records without bespoke connectors or elevated permissions.

Model Context Protocol is an emerging approach for connecting AI applications to tools and data sources through a standard interface. RecordPoint's move brings its governance platform into that ecosystem as organisations try to scale AI deployments beyond pilots and departmental trials.

Governance gap

As organisations roll out AI tools, they often face a trade-off between productivity gains and control over how systems interact with sensitive information. Many enterprises want to use internal documents, policies and records as context for AI-assisted workflows, but access and audit requirements can complicate those plans.

RecordPoint argues that compliance teams often lack visibility into what AI systems can reach once connected. It also says today's integrations can be proprietary or inconsistent, creating multiple access paths that become difficult to govern over time.

Joseph Pearce, Head of Product at RecordPoint, said the MCP Server is intended to reduce friction between AI adoption and control requirements.

"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.

Pearce also pointed to the state of content repositories and collaboration platforms in large organisations.

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

Standard interface

RecordPoint says the MCP Server exposes governed data from its platform to external AI systems through a standardised method, reducing fragmentation that can arise when teams connect individual AI tools to different data sources using custom integrations.

The integration is aimed at governed records rather than raw data access. RecordPoint says it provides permissioned, auditable access for AI systems and reduces the risk of sensitive content leaking outside defined controls.

The company is pitching the server to regulated industries and public sector organisations, where audit trails, access controls and retention obligations often shape technology choices. In those environments, AI programmes can stall when information governance teams cannot validate what data an AI system used or what actions it took.

RecordPoint says its platform is designed to manage data across a modern "data estate" rather than a single repository type. It argues this allows it to act as a governing layer across collaboration tools and file stores, then expose approved information to AI systems through MCP.

Pearce said the growth of bespoke AI connections creates new audit questions.

"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," he said.

What it includes

RecordPoint highlighted three areas it associates with the MCP Server: governed data exposure "without leaking sensitive content", permissioned and auditable AI access, and integration with AI agents or platforms that support MCP.

Enterprises increasingly run multiple AI tools at once, including vendor copilots embedded in productivity suites, third-party agent platforms, and in-house applications built on large language model services. A standard interface can reduce the number of one-off connections security teams must assess, provided controls are implemented consistently.

RecordPoint did not disclose customer names, pricing, or technical details on how the server enforces policy across different underlying repositories. It also did not specify which AI vendors it has tested, beyond saying any MCP-compatible AI system can connect.

Pearce said the MCP Server supports organisations at different levels of governance maturity.

"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," he said.

Founded in 2009, RecordPoint sells information governance software to regulated enterprises and government agencies. The company expects interest in the MCP Server to track continued investment in AI agents and copilots across large organisations.