Identity is easy to skip
Many early MCP deployments are launched before enterprise identity, lifecycle, and access reviews are fully mapped to agent tool use.
AI agent governance
ChatGPT, Claude, Copilot Studio, and your own agents can now call enterprise tools over MCP. Datawiza Agent Gateway puts your identity provider in front of every MCP server so every tool call is authenticated, authorized, rate-limited, and logged, without changing your MCP servers.











Category overview
The Model Context Protocol gives AI agents and assistants a standard way to call tools: query a database, file a ticket, retrieve a document, or update a record. An MCP gateway is a reverse proxy purpose-built for that traffic. It sits between MCP clients and MCP servers, then enforces who may connect, which tools each identity may see and call, how fast they can call them, and what audit trail is recorded. The need is practical. MCP servers are being stood up quickly, especially when teams expose them so cloud-based assistants like ChatGPT, Claude, or Copilot Studio can reach enterprise tools. Without a gateway, an MCP server URL can become a broad path to whatever the tools behind it can do.
Many early MCP deployments are launched before enterprise identity, lifecycle, and access reviews are fully mapped to agent tool use.
One MCP server can expose harmless read tools next to write, export, admin, or production actions that need much tighter control.
Security teams need to know which person, agent, tool, action, policy, and downstream system were involved in each request.
What the gateway enforces
Datawiza Agent Gateway is the identity-native way to run an MCP gateway. It puts enterprise identity and policy in front of MCP servers without requiring changes to the MCP server code.
Users and agents sign in through your IdP before any request reaches the MCP server. Access can use Microsoft Entra ID, Okta, or another OIDC-compliant provider.
Filter which tools each identity can discover with tools/list and enforce which tools or actions it can invoke with tools/call.
Apply per-user and per-agent limits, then attribute usage to real identities for cost control, abuse detection, and operational review.
Keep upstream secrets in the gateway so agents and users never hold the keys to the systems behind your MCP tools.
Record every connection and tool call with authenticated identity, target MCP server, requested tool, policy decision, and outcome.
Front existing MCP servers as a reverse proxy. The MCP server code and standard MCP clients stay intact.
Architecture
Agents and MCP clients connect to the Datawiza gateway endpoint instead of reaching MCP servers directly. The gateway validates identity context, evaluates tool policy, brokers credentials when needed, rate-limits usage, and forwards only approved MCP requests.
Step 1
Authenticates with Entra ID, Okta, or another IdP and receives a signed access token.
Step 2
Validates issuer, audience, signature, expiry, scopes, and claims, then checks MCP server, tool, and action policy.
Step 3
Receive only approved MCP requests. Denied, approved, and approval-routed decisions are logged.
Identity providers
Deployment options
Token validation: trust the IdP token only after Datawiza verifies it.
Tool policy: allow or deny by agent, claim, MCP server, tool, action, and environment.
Audit: record who or what called the tool, which policy matched, and the outcome.
Identity-native control
Most gateway approaches can answer whether a request has a token or key. Enterprise security teams need a stronger answer: which person or agent did this, under whose authority, and what policy allowed it? Agent Gateway binds MCP access to enterprise identity, so lifecycle controls, group changes, disabled accounts, and agent identities matter at the gateway layer.
Use Entra ID, Okta, or another OIDC-compliant provider as the source of identity for MCP access decisions.
Evaluate user, group, agent, delegated context, server, tool, action, and environment before forwarding a request.
Disable a user, revoke an agent credential, or change a group in the IdP and MCP access follows the same lifecycle.
Deployment
Agent Gateway runs as a lightweight containerized reverse proxy in your cloud, DMZ, or data center, managed from a central console. Point the MCP server public hostname at the gateway, connect your IdP, define tool policies, and reuse the same deployment model for REST API traffic from agents.
Deploy close to your MCP servers in cloud, hybrid, DMZ, or private-network environments.
Configure identity, tool policy, rate limits, credential handling, and audit export centrally.
Use the same Agent Gateway control layer for MCP servers, LLM APIs, internal APIs, SaaS APIs, and enterprise tools.
Workflow
The deployment pattern is deliberately simple: put the gateway in the path, connect identity, define policy, then expand from one MCP server to more agent workflows.
Use cases
Require sign-in and tool-level policy before cloud-based assistants can reach an enterprise MCP endpoint.
Protect MCP servers for databases, documents, tickets, ERP workflows, code repositories, and internal APIs.
Allow read-only tools broadly while restricting write, export, delete, production, or admin actions to approved identities.
Attribute usage to real users and agents, throttle high-volume calls, and send decision logs to security tooling.
Comparison
Open-source or DIY MCP gateway
Usually starts with API keys, custom middleware, or platform-owned proxy code that each team must maintain
Datawiza Agent Gateway as an MCP gateway
Open-source or DIY MCP gateway
Often stops at server, endpoint, or connection-level allow lists unless the team builds tool filtering itself
Datawiza Agent Gateway as an MCP gateway
Open-source or DIY MCP gateway
Rate limits and attribution may require custom logs, custom dashboards, and per-client configuration
Datawiza Agent Gateway as an MCP gateway
Open-source or DIY MCP gateway
Downstream API keys, OAuth tokens, and service credentials can spread into clients, config files, or server code
Datawiza Agent Gateway as an MCP gateway
Open-source or DIY MCP gateway
Support and incident response depend on the internal platform team that assembled the gateway layer
Datawiza Agent Gateway as an MCP gateway
Ecosystem
Agent Gateway is designed for the way enterprises actually adopt MCP: cloud-based assistants, local MCP clients, custom agents, internal MCP servers, SaaS MCP servers, and REST APIs that sit beside MCP workflows.
ChatGPT, Claude, Copilot Studio, IDE agents, desktop MCP clients, custom copilots, and workflow agents.
Internal MCP servers that expose databases, files, ticketing systems, ERP APIs, developer tools, or custom enterprise workflows.
SaaS and vendor-hosted MCP servers where teams need central identity, credential, policy, and audit controls.
LLM APIs, REST APIs, internal services, and enterprise applications that agents call outside the MCP path.
Why Datawiza
Access is evaluated before MCP requests reach sensitive tools, not after a tool has already run.
Policy is based on enterprise identity, group membership, agent identity, delegated context, tool, action, and environment.
Downstream secrets stay behind the gateway instead of spreading into assistant configs, agent runtimes, or MCP server code.
The same platform governs MCP and API traffic, because agent access rarely stops at one protocol.
Next step
Bring one MCP endpoint and the identities that should use it. We can show how Datawiza Agent Gateway puts your IdP, tool policy, rate limits, credential protection, and audit in front of it.
Setup guides
Protect remote MCP servers with Datawiza Agent Gateway and Microsoft Entra ID before cloud-based assistants or MCP clients can list or call tools.
FAQ
An MCP gateway is a reverse proxy purpose-built for Model Context Protocol traffic. It sits between MCP clients such as ChatGPT, Claude, desktop agents, IDE agents, or custom agents and MCP servers, then enforces authentication, tool-level authorization, rate limits, credential protection, and audit.
MCP includes an OAuth-based authorization specification, but authentication is not automatic in every MCP deployment. Many teams still need an enterprise enforcement point that connects MCP access to their IdP, lifecycle controls, tool policies, and audit systems.
Yes. For remote MCP servers, Datawiza Agent Gateway can require sign-in through Microsoft Entra ID or another identity provider before ChatGPT users can list or call tools. The linked setup guides show the pattern for ChatGPT and Claude.
No. MCP gateway is a core use case of Datawiza Agent Gateway, which governs both MCP traffic and REST API calls from AI agents under one identity-native policy layer.
No. Datawiza Agent Gateway fronts existing MCP servers as a reverse proxy. The MCP server code and standard MCP clients stay intact while the gateway enforces identity, policy, rate limits, credential protection, and audit.
Agent Gateway can govern MCP servers and plain REST API traffic from agents. That matters because real agent workflows often call MCP tools, LLM APIs, internal APIs, SaaS APIs, and enterprise applications in the same workflow.
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