Stay in control while rolling out AI across your organization
Enterprise-grade AI governance, out of the box
Integrations
Connect AI to local & remote servers, safely
Claude
Cursor
ChatGPT
GitHub Copilot
Windsurf
VSCode
Salesforce
GitHub
Slack
Atlassian
Google Drive
HubSpot
Notion
Asana
Linear
Postgres
Snowflake
AWS
Azure
Datadog
83% of organizations plan to deploy agentic AI into their business functions, but only 31% feel fully equipped to secure those systems.
How MCP Manager works
Watch how to make and connect an MCP gateway with our platform.
Overview
MCP GATEWAY 101
MCP without gateway
The Model Context Protocol (MCP) is the open standard that defines how AI agents connect to external tools and data sources.
While powerful, teams must control the tools agents use and secure the data agents access. That’s exactly what MCP gateways do.
MCP with gateway
An MCP gateway sits between your AI clients and your MCP servers, giving IT a single control plane for every agent connection in your organization. Without a gateway, companies have no central visibility, no consistent access policies, and no audit trail for AI’s access to data.
Frequently asked questions
An MCP server exposes a specific tool or data source (e.g., your Salesforce instance or your GitHub repos). An MCP gateway is a central layer between your MCP servers and your clients (e.g., Claude), handling authentication, logging, and policy enforcement. Think of MCP servers as the tools, and the gateway as the control plane for all of them.
If more than one person in your organization is using AI agents that connect to external tools via MCP, then yes. Without a gateway, you have no central visibility into what agents are accessing, no way to enforce consistent access policies across teams, and no audit trail if something goes wrong. The governance gap is manageable when AI usage is limited to a few developers. It becomes a serious liability as adoption scales.
MCP Manager works with any MCP-compatible AI client, including Claude (desktop and work), Cursor, GitHub Copilot, ChatGPT, Windsurf, and Claude Code.
MCP Manager works with any spec-compliant MCP server, including popular third-party servers like Salesforce, GitHub, Slack, Atlassian, Google Drive, HubSpot, and Snowflake, as well as internally built servers. It supports both remote (HTTP/SSE) and local (STDIO) server configurations.
MCP Manager includes runtime PII detection powered by Microsoft Presidio, which classifies and redacts sensitive entities, names, financial data, credentials, and other regulated information, before they pass through to downstream systems. You can also define custom regex-based policies or connect your existing DLP tools via webhook.
MCP server connections use OAuth enforcement to ensure every connection is authenticated and attributable to a specific user or agent. In addition, MCP Manager supports SSO, integrating with your existing identity provider including Okta, Microsoft Entra ID, and Google Workspace.
Most teams complete their first gateway setup in under an hour.
MCP Manager monitors for tool definition changes, including tool name changes, new tools being added, and modifications to existing tool descriptions. When a change is detected, you can configure alerts, require re-approval before the updated server is accessible, or block connections automatically. This protects against MCP rug pull attacks, where a server you have already approved silently changes behavior.
MCP Manager is operated by Usercentrics, which holds SOC 2 Type II certification. Full security documentation is available in our Trust Center.