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Delinea Released an MCP Server to Put Guardrails Around AI Agents Credential Access

Delinea released McP context protocol (MCP) This allowed access to the accreditation data stored in the Delinea Secret server and the Delinea platform. The server applies identity and political rules to each call, with the aim of keeping long -term secrets of the agent memory while maintaining full scrutiny

What’s new for me?

Gaytap Project DelineaXPM/delinea-mcp (Licensed by MIT) displays the surface of the MCP tool restricted to retrieving accreditation and account data, and supports the registration of the OATH 2.0 dynamic customer for all MCP specifications, and provides the transfer of both Stdio and HTTP/SSE. Repo includes Docker and an example of an editor/integration of the agent

How to work?

The server displays the MCP tools whose agent to Secret Server and (optionally) Delinea: Secret and Folder RetrieVAVAI/Search, Inbox/Access-aquest assistants, user official/session, and reporting; The secrets themselves are still acceptable and are not presented to the agent. The composition separates secrets to environmental variables (for example, DELINEA_PASSWORD) And not the nate in config.jsonWith domain controls (enabled_toolsT types of organisms), TLS CERTS, and the optional registration key before participation.

Explain to me why exactly concern me

Institutions are wire agents quickly to operational systems through MCP. Modern accidents-such as McP Exfiltting-is the need for registration controls, TLS, and the surfaces of the specifically less tool tool, and the context of tracked identity in each call. Delinea server claims to implement these controls in the PAM alignment style (verification of an audit + audit policy), which reduces the extension of accreditation data and simplifying the cancellation.

summary

Delinea licensed MCP server gives institutions a standard and auditable way to access AI-distinctive codes, policy assessment, restricted tools-to reduce secret exposure during integration with Secret Server and Delinea platform. It is now available JaytabWith the initial coverage and technical details that confirm OAUTH2, STDIO/http (SSE), and speaking operations.


Michal Susttter is a data science specialist with a master’s degree in Data Science from the University of Badova. With a solid foundation in statistical analysis, automatic learning, and data engineering, Michal is superior to converting complex data groups into implementable visions.

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2025-09-30 10:03:00

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