New Model Context Protocol (MCP) capabilities enable finance and audit teams to explore MindBridge analyses, investigate risk, and access explainable insights directly within their AI workflows.
AI is changing how finance and audit professionals work. Increasingly, teams are turning to AI assistants, such as Claude, Cursor, and Microsoft Copilot, for efficiency. But while these tools are becoming part of everyday workflows, accessing trusted financial data and risk intelligence still requires moving between applications, or manually exporting information.
At MindBridge, we believe financial oversight needs to evolve alongside the systems and workflows it governs. That’s why we have introduced MindBridge MCP, a new capability that connects MindBridge’s AI-powered financial intelligence directly to supported AI assistants, including Claude, Microsoft Copilot, and Cursor.
Now available as part of MindBridge’s most recent release, MCP makes it easier for finance and audit professionals to access and investigate financial risk without leaving the AI environments where they’re already working.
Bringing financial intelligence into the flow of work
Traditionally, investigating a financial risk question involves several steps: opening MindBridge, locating the relevant analysis, reviewing the results, and potentially exporting data for further investigation.
MCP simplifies that process. Through a secure connection to a customer’s MindBridge environment, authorized users can ask questions in natural language and retrieve insights from completed MindBridge analyses directly within their AI assistant.
For example, an auditor could ask:
“Show me high-risk transactions over $100,000 from my 2025 year-end general ledger analysis and explain which control points contributed to their risk scores.”
Rather than manually navigating tables and exporting results, the user can work through the investigation conversationally, using the analysis already performed by MindBridge. This brings together two complementary capabilities: MindBridge’s independent, explainable financial risk analysis and the conversational experience of modern AI assistants.
The result is a more accessible way to investigate financial activity and understand potential risks.
See how MindBridge MCP can support manual journal entry controls testing by bringing financial risk analysis into AI-assisted investigation workflows.
From risk identification to deeper investigation
MindBridge MCP is designed to help practitioners move from identifying an analysis to exploring its findings. The initial release supports four core capabilities:
- Finding relevant analyses. Discover completed MindBridge analyses available to the user, including searching by keyword.
- Understanding risk results. Explore the structure of an analysis, including available fields, risk scores, and control points.
- Investigating why transactions were flagged. Access information about the control points contributing to transaction risk scores, helping users interpret findings.
- The query of financial data. Retrieve specific results, such as high-risk transactions above a defined monetary threshold, without manually exporting data.
These capabilities make MindBridge intelligence more accessible to those who want to investigate risk through natural language, in the environments where they are already working, while retaining the depth and explainability of the underlying analysis.
See how AI assistants can use MindBridge analysis results alongside supporting invoice documentation to investigate potential discrepancies in accounts payable.
Built with governance and security in mind
As AI becomes more deeply integrated into financial operations, accessibility must go hand in hand with governance. MindBridge MCP is designed around that principle. Each user connects individually through authentication and consent, and access remains governed by their existing MindBridge permissions. An AI assistant can only retrieve information that the authenticated user is authorized to access.
The initial release is also read-only. Users can find analyses, explore risk information, and query results, but cannot create, modify, or take action on MindBridge records through MCP.
Organizations retain control over adoption. MCP is disabled by default and must be explicitly enabled by a tenant administrator, who must also acknowledge a risk disclosure before activation.
This approach allows organizations to introduce AI-connected workflows deliberately, with clear controls over access and use.
A foundation for the future of autonomous financial oversight
The introduction of MCP represents more than a new way to access analysis results. It’s another step toward MindBridge’s vision for Autonomous Financial Oversight (AFO). As financial processes become increasingly automated and AI-driven, independent oversight cannot remain confined to a single application or periodic review process. Financial intelligence needs to be accessible within the workflows where people and AI systems are operating, investigating, and making decisions.
By making MindBridge analysis available through an open integration protocol, MCP establishes a foundation for customers and partners to embed explainable risk intelligence more directly into their existing processes.
Get started with MindBridge MCP
MindBridge MCP is now generally available to customers as part of the 26.10 release. Tenant administrators can enable the capability through the MCP tab in the MindBridge Admin interface.
To learn more about configuration, supported assistants, and available capabilities, visit the MindBridge Developer Portal.