AI clients and MCP management

Roll out AI clients and MCP servers with an AI gateway and access you control.

Teams are eager to put AI tools to work and connect them to the systems they already use. For IT, the challenge is making that possible without creating a growing collection of unmanaged accounts, unknown MCP servers and untracked spending.

With Tines, you can bring requests, approvals and access into one process, giving teams the tools they need while maintaining visibility and control.

How it works

  1. Requests are captured

    Requests for AI clients and MCP servers are collected through a portal or Slack.

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Featured build

MCP gateway with OAuth, IdP groups RBAC, and SIEM logging

An MCP Gateway that sits between AI clients (like Claude Code) and enterprise MCP servers, enforcing OAuth authentication, role-based access control via IdP groups, and comprehensive audit logging. The gateway filters available tools based on user group membership, proxies requests to upstream MCP servers, and sends all interactions to a SIEM. IT teams can manage tool allowlists, user agent restrictions, and access policies through an admin panel.

Examples

We’ve assembled a gallery of real-world, ready-to-use apps, agents, and automation templates. Start from a template or from a prompt, using natural language and your own expertise.

Explore the gallery
  1. AI tool request and approval portal

    Employees request an AI client or MCP server; owners and security approve; access is provisioned.

  2. Approved MCP server catalog

    Which servers exist, who owns them, what they can reach and who can use them.

  3. AI gateway with usage and spend by team

    Route model traffic through one place, with limits per team.

  4. Finance & ITAI spend tracking dashboard across Cursor, Claude, OpenAI, and AWS Bedrock
  5. Security & ITLLM provider risk monitoring dashboard
  6. Shadow AI detection

    Finds unapproved AI tools from SSO, expense and network data, and opens a review.

Related use cases

Sign up today to get started or schedule time with our team to learn more.