Govern AI Agents through MCP

Expose your infrastructure to AI agents through MCP servers brokered by Adaptive. Every agent authenticates with OAuth, gets only the access its user is allowed, and every tool call is logged for review.

Coding agents and AI assistants now open database sessions, run kubectl and query production on behalf of engineers. Most teams wire them up with long-lived credentials pasted into config files, giving the agent broader access than the person driving it and leaving no record of what it actually did. As agents multiply across tools like Claude Code, Cursor and internal copilots, security teams lose track of which agent touched which system, with whose authority.

Shared secrets

Agents are commonly configured with static database passwords and API keys copied into local config

No audit trail

Actions taken by an agent are rarely attributable to the human who invoked it

One governed MCP gateway for every agent and every resource

Adaptive exposes your databases, servers and clusters as MCP servers. Agents connect through the same broker your engineers use, authorize with OAuth as the person running them, and inherit that person's roles, masking rules and just-in-time grants. Nothing is handed to the agent that the user could not do themselves, and every call is recorded.

MCP Servers Exposed through Adaptive

Turn any endpoint registered in Adaptive into an MCP server with no agent-side credentials to manage. Point Claude Code, Cursor or any MCP client at Adaptive and it discovers only the resources the user is authorized for.

OAuth-Authorized MCP Access

Agents sign in through your identity provider with OAuth and act as the user who launched them. Role-based access, data masking and time-bound grants apply to agent traffic exactly as they do to people.

Agent Skills Generated per Endpoint

Adaptive generates skills for each endpoint describing how to connect and what the agent may do there, so agents use resources correctly without hand-written prompts or wrapper scripts.

MCP Access Logs and Review

Every tool call, query and command an agent issues is logged against the user and the agent that made it. Review MCP activity alongside human sessions and revoke access straight from the audit trail.

Govern AI Agents through MCP

No Network Changes Required

Cloud or On-Premises Deployment

Enterprise-Grade Security