The Krista MCP Server gives IT a single, governed control point for every AI tool invocation in the enterprise. Any MCP-enabled AI client connects to Krista. Tools are scoped to each user's role. Every action is logged. Your security policies apply to every tool call, every session, every time.
Employees are installing MCP servers from the open ecosystem onto personal and company machines. Public AI clients connect to email, CRM, and enterprise file systems. The model does not just read that data. It acts on it. IT has no visibility into what is installed, who is using it, or what it has done. Your SOC starts logging events it cannot explain.
The risk compounds quickly. A model can send email in a loop, query a database in rapid succession, or execute a destructive operation with nothing to stop it. When something goes wrong, there is no audit trail, no rate limiting, and no record of what happened.
Krista governs the entire attack surface with a single deployment. She becomes the MCP server for the enterprise. IT approves tools, assigns roles, and reviews every invocation in one place. Shadow MCP becomes governed MCP. The AI clients employees already use keep working. The exposure stops.
One deployment gives IT role-based access, rate limiting, and a complete audit trail across every AI client and tool.
IT deploys the Krista MCP Server once. Employees connect their AI client of choice to Krista instead of installing unvetted servers on personal machines. Every tool call runs through role-based access, rate limiting, and an immutable audit trail. The AI clients employees already use keep working.
Krista exposes extensions, conversations, and approved third-party tools as MCP tools scoped to each user's role. As the enterprise adds new capabilities or onboards new AI clients, governance scales automatically. Policy is set once in Krista and applied everywhere.
Krista logs every tool invocation by user, tool, timestamp, and action. Security and compliance teams have a complete record of AI-driven activity across the workforce. When a model acts on an enterprise system, there is always a trail.
Krista monitors the rate at which connected AI clients invoke tools. If a model starts invoking tools in a loop, she detects the pattern and throttles it. She can stop it entirely before back-end systems take damage. No manual intervention required.
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No. Most MCP servers are small, unvetted code packages with no governance. The Krista MCP Server adds role-based access, a circuit breaker, audit logging, and IT-managed deployment on top of Krista’s enterprise-grade integrations. It is the governed alternative to the Shadow MCP problem.
Any MCP-compatible client.
Yes. IT can install any approved third-party MCP server into Krista. Once installed, its tools are governed by the same role-based access, circuit breaking, and audit trail as Krista’s native tools. The customer is responsible for vetting third-party servers before installation.
Tools are assigned to Krista roles. A user’s AI client sees only the tools their role allows. A tool with no roles assigned is inactive. This uses Krista’s existing role model — no separate MCP-specific configuration layer.
Shadow MCP refers to employee-installed, ungoverned MCP servers running on personal or company machines. These connect public AI clients to enterprise systems without IT visibility. The Krista MCP Server gives IT a governed alternative — one central server with approved tools, instead of dozens of unmanaged servers on employee devices.
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