Datawiza

AI agent governance

MCP Gateway for Enterprise AI Agents

Datawiza MCP Gateway sits between agents and MCP servers to validate identity, enforce server, tool, and action policies, protect credentials, and log every decision before tools run.

Datawiza Agent Gateway governing MCP server and tool access
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MCP security

What is an MCP gateway?

An MCP gateway is an inline control point between MCP clients, AI agents, and MCP servers. Instead of letting every agent connect directly to sensitive tools, the gateway centralizes token validation, authorization, credential handling, and audit.

Direct MCP access expands risk

MCP clients and agents can reach databases, ticketing systems, code repositories, SaaS apps, and internal workflows with fewer controls than normal enterprise apps.

Tool permissions need policy

One MCP server may expose read, write, export, and admin-like tools. Access decisions need to happen at the server, tool, action, and user-group level.

Credentials need protection

API keys, OAuth tokens, and local config files are hard to govern once agent experiments spread across teams and desktops.

Built on Agent Gateway

What Datawiza MCP Gateway provides

Datawiza MCP Gateway is a focused solution built on Datawiza Agent Gateway for governing Model Context Protocol traffic. It adds identity-aware policy, credential brokering, approvals, and audit in front of MCP servers.

Centralized MCP control point

Route MCP access through one gateway instead of expecting every MCP server to implement enterprise-grade governance.

Identity-aware MCP access

Validate enterprise IdP tokens and evaluate the user, group, agent, target server, tool, action, and environment.

Tool- and action-level guardrails

Restrict which tools and actions agents can use, apply deny-by-default controls, and constrain high-risk parameters.

Automatic token brokering

Handle token exchange, OAuth token retrieval, and API key injection so agents do not hold downstream credentials.

Guardrails and approvals

Require stronger controls for high-risk MCP actions, strip sensitive data where appropriate, or route actions for human approval.

Audit and visibility

Every MCP access attempt records user identity, agent, server, tool, action, policy, and outcome for export to Sentinel, Splunk, or any SIEM.

Architecture

A gateway between agents and MCP servers

Agents authenticate with your enterprise IdP, then send MCP traffic through Datawiza before tool calls reach internal or SaaS MCP servers.

Step 1

Agent or MCP client

Authenticates with Entra ID, Okta, or another IdP and receives a signed access token.

Step 2

Datawiza MCP Gateway

Validates issuer, audience, signature, expiry, scopes, and claims, then checks MCP server, tool, and action policy.

Step 3

MCP servers and tools

Receive only approved MCP requests. Denied, approved, and approval-routed decisions are logged.

Identity providers

Entra IDOktaPingAWS IAMOAuth / OIDC

Deployment options

Azure / AWS / Google CloudOn-premises / private networkDatawiza-hosted service

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.

Internal MCP

Secure internal MCP servers without rebuilding them

This is the fastest path to value for many enterprises. Put MCP Gateway in front of internal servers to add centralized governance without changing the servers themselves.

Secure internal MCP servers

Keep the MCP server on the internal network behind the gateway and avoid code changes to the server.

Authenticate every request

Authenticate every MCP request with Entra ID, Okta, AWS, or another enterprise identity provider.

Apply policy and log activity

Apply tool-level and action-level access policies and log every request, policy decision, and outcome.

SaaS MCP

Govern SaaS-hosted MCP access without scattering credentials

MCP clients and desktop tools often connect directly to SaaS-hosted MCP servers using locally stored credentials or OAuth tokens. MCP Gateway centralizes how those credentials are handled.

Reduce local credential sprawl

Remove direct token handling from laptops and local config files.

Manage token lifecycle

Centralize token refresh, rotation, revocation, and downstream identity presentation.

Keep one audit trail

Apply policy before a SaaS MCP action is allowed and maintain one unified audit trail.

Workflow

How MCP Gateway works

Route MCP traffic through the Datawiza gateway instead of letting agents connect directly to MCP servers.

  1. 1Route MCP traffic through DatawizaPoint the MCP client or agent workflow at the Datawiza gateway endpoint instead of the direct MCP server URL.
  2. 2Validate identity and contextValidate the enterprise IdP access token and evaluate the user, group, agent, target MCP server, requested tool, action, and environment.
  3. 3Enforce tool and action policyAllow, deny, constrain, or route for approval based on centralized policy. Deny by default and allow only what is explicitly permitted.
  4. 4Broker credentials and log decisionsForward approved MCP requests with the right downstream credential or scope, and record each approved, denied, or approval-routed decision.

Use cases

Common MCP Gateway use cases

Secure internal MCP servers

Govern agent access to internal MCP endpoints that expose enterprise tools, APIs, databases, and workflows.

Control SaaS-hosted MCP access

Apply centralized policy and credential governance to external MCP servers like Salesforce, Databricks, and ZoomInfo.

Restrict tool usage

Allow only approved MCP tools for approved workflows, teams, or environments.

Protect sensitive actions

Require stronger controls for destructive writes, bulk data exports, configuration changes, or access to PII.

Build an audit trail

Give security teams a unified log of MCP server access, tool usage, credential brokering events, policy decisions, and outcomes.

Comparison

MCP Gateway vs. direct MCP connectivity

Area
Direct MCP connectivity
With Datawiza MCP Gateway
Control
Each MCP server handles trust on its own
One gateway policy plane for MCP access
Authorization
Server-specific checks or no authorization layer
Identity-aware authorization on every MCP request
Permissions
Broad server-level or token-level access
Least-privilege tool and action-level policy
Token handling
OAuth tokens and API keys spread across clients
Tokens validated and credentials brokered by the gateway
Visibility
Logs split across clients, servers, and tools
Unified audit trail for every MCP decision

Ecosystem

Works with your MCP ecosystem

SaaS-hosted MCP servers

Salesforce, Databricks, Snowflake, ServiceNow, HubSpot, Jira, GitHub, Slack, Google Workspace, Notion, Linear.

Internal MCP servers

PostgreSQL, MySQL, MongoDB, REST APIs, HR systems, inventory APIs, data warehouses, internal wikis, custom tools.

MCP clients and agents

Claude Desktop, Claude Code, Cursor, Windsurf, VS Code + Copilot, and custom agents.

Identity providers

Microsoft Entra ID, Okta, Ping Identity, AWS IAM, and other OAuth or OIDC identity providers.

Why Datawiza

Why Datawiza

No-code deployment

Secure MCP access by routing traffic through the gateway. No changes to your MCP servers or agents.

Identity-first enforcement

Carry real user identity into every MCP policy decision, not just API keys.

Credential brokering built in

Handle federated token exchange, OAuth lifecycle management, and vaulted secrets without exposing credentials to agents.

Built on Agent Gateway

Expand from MCP governance to REST APIs, SaaS connectors, and A2A protocols without replacing the platform.

Related tutorial

Add Entra ID authentication to Claude MCP servers

Follow the step-by-step guide for protecting an MCP server with Datawiza Agent Gateway and Microsoft Entra ID before Claude or another MCP client reaches sensitive tools.

Read the tutorial

FAQ

Frequently Asked Questions

What is an MCP gateway?

An MCP gateway is an inline control point between MCP clients or AI agents and MCP servers. It centralizes identity validation, authorization, credential handling, and audit before agents can invoke tools.

How is MCP Gateway different from direct MCP connectivity?

Direct MCP connectivity lets agents connect to MCP servers one by one, often with local tokens or server-specific permissions. Datawiza MCP Gateway puts one policy and audit layer in front of those connections.

Is MCP Gateway the same as an API gateway?

Traditional API gateways focus on API traffic. MCP Gateway is designed for agent-mediated tool access, where policy needs to understand the user, group, agent, MCP server, tool, action, credential, and outcome.

Do we need to change our MCP servers?

No. In common deployments, you route MCP traffic through Datawiza by pointing the MCP client or agent to the gateway endpoint. Datawiza then enforces policy before forwarding approved requests.

How does Datawiza work with Entra ID or Okta for MCP?

Agents can authenticate with Microsoft Entra ID, Okta, Ping, AWS IAM, or another OAuth/OIDC IdP, then present signed access tokens to Datawiza for validation and policy enforcement.

Can Datawiza secure internal and SaaS-hosted MCP servers?

Yes. Datawiza MCP Gateway can sit in front of internal MCP servers that expose enterprise systems and SaaS-hosted MCP servers where credential governance, policy, and audit are important.

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