The Devolens MCP Server allows AI agents to securely interact with your Devolens account.

Rather than simply answering questions based on documentation, AI assistants can retrieve licensing information, analyze operational data, and perform approved licensing operations using live account data. Every interaction is governed by the permissions you choose, allowing AI to assist with licensing workflows while remaining under your control.

If you're looking for an introduction to AI-assisted licensing and how Skills and MCP work together, read our announcement introducing Devolens MCP and Skills.

Related Resources

• Introducing Devolens MCP and Skills
• Documentation on the MCP server

AI-Assisted Licensing Operations

The MCP Server allows AI assistants to work with your licensing environment using the same APIs that power the Devolens platform.

Depending on the permissions granted, AI agents can retrieve usage analytics, investigate customer issues, review licensing activity, manage license keys, and work with customer information.

This makes it possible to perform many operational tasks using natural language while continuing to manage permissions centrally through Devolens.

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Supporting Analytics and Reporting

Many licensing questions begin with understanding what is happening across your products.

Through the MCP Server, AI agents can analyze the usage data behind the Devolens dashboards and answer questions such as:

• Which products generated the most activity?
• Which license keys show unusually high usage?
• Which trial users appear ready to convert?
• Which customers may benefit from a different licensing model?
• Are there unusual activation patterns worth investigating?

Rather than manually navigating dashboards and reports, teams can explore licensing activity through conversational workflows.

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Supporting Customer Operations

The MCP Server can also assist with customer support and operational licensing tasks.

For example, when investigating a support request, an AI agent can retrieve customer information, associated licenses, activation history, and recent licensing activity to help identify the likely cause of a problem.

Organizations can also allow AI agents to perform operational actions such as creating, extending, or managing license keys, depending on the permissions granted.

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Security and Privacy by Design

Enterprise organizations need to control exactly what AI agents can access.

For that reason, MCP access is disabled by default. Organizations explicitly choose whether to enable the feature and what permissions each AI client should receive.

The Devolens MCP Server supports:

• OAuth-based authorization
• Permission-based access controls
• Function-level permissions
• Access revocation
• Audit logging
• Data minimization

Permissions can be limited to read-only analytics, customer management, license management, or other specific operational capabilities. This allows organizations to grant only the access required for a particular workflow.

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Supporting GDPR and Enterprise Compliance

Not every AI workflow requires access to customer information.

By limiting permissions, organizations can significantly reduce, and in some cases eliminate, the personal data available to AI models. Workflows focused on aggregated licensing analytics, for example, can operate without exposing customer names or other identifying information.

For deployments using access tokens, additional data masking features make it possible to exclude selected fields from API responses before information is shared with an AI client.

This privacy-first approach supports data minimization principles under GDPR and other privacy regulations while allowing organizations to benefit from AI-assisted licensing workflows.

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Flexible AI Integration

The Devolens MCP Server follows the open Model Context Protocol (MCP), making it compatible with a growing ecosystem of AI assistants and development tools.

Whether your team uses ChatGPT, Claude, Codex, Cursor, or another MCP-compatible client, the same permission model and licensing capabilities remain available through a standardized interface.

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Implementation

The Devolens MCP server documentation includes guides and examples for:

• Connecting AI clients using OAuth
• Authenticating with access tokens
• Configuring MCP permissions
• Managing connected applications
• Querying licensing analytics
• Managing customers and license keys
• Applying data minimization and security controls