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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.
Choose your pricing plan
7-day free trial with access to key features. No credit card required.
- Remote MCP server support Govern and secure popular remote MCP servers from companies like Atlassian and GitHub
- MCP threat prevention Stop attacks like MCP rug pulls, data exfiltration, and prompt injection
- Tool provisioning Limit what tools you allow people and AI agents in your org to access
- 14 day log retention Get forensic audit logs of how data and tools flow between AI and MCP. You can also download logs as a CSV file.
- Usage charts & alerts Gain insight into how teams are using MCP at your org. Token costs, tool calls, and more.
- Remote MCP server support Govern and secure popular remote MCP servers from companies like Atlassian and GitHub
- Regex-based rules engine for PII Detect and block PII that follows predictable patterns (e.g. social security numbers)
- Internal MCP registry Stop shadow AI by providing your org with a list of approved MCP servers they can use
- 30 day log retention Get forensic audit logs of how data and tools flow between AI and MCP. You can also download logs as a CSV file.
- Everything available in Core
- Remote MCP server support Govern and secure popular remote MCP servers from companies like Atlassian and GitHub
- Microsoft Presidio rules engine for PII Select what entities you want to detect and block using open-source PII detection
- Custom roles Provide granular privileges and access to admins and team members
- 90 day log retention Get forensic audit logs of how data and tools flow between AI and MCP. You can also download logs as a CSV file.
- Everything available in Plus
- Remote & local MCP server support Govern and secure both remote MCP and local servers, which run on employees' workstations
- Custom integrated rules engines Create your own rules engines or integrate frontier guardrail systems like Amazon Bedrock Guardrails
- Google Workspace MCP (hosted) Roll out Google's MCP server across your organization
- Custom DPA Get custom terms and DPAs. Best for regulated industries.
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.