MCP Gateway

The MCP gateway between your agents and your systems

Give your teams thousands of MCPs they can install in one click, bundled by role, access controlled and logged to the individual tool.

Controlling a connector from the MCP store: your org's registry, the approved catalog behind it, and a connector's tools being switched off one at a time

Trusted by

Centrally manage approved MCPs

Today each AI client holds its own credentials to each system, and nobody can see or change that from one place. Put the gateway in between and every client reaches the same approved servers, with permissions set per tool and one place to switch a server off.

Users
AI clientsAI clientsAI clients
AI clients
MCP Gateway
Gmail

OAuth Credentials

Limited permissions
Figma

API Credentials

Keys securely managed
Atlassian

Open Source MCPs

Runs in a sandbox

Approve once, govern everywhere

Approve what can run, enforce that it runs through the gateway, and decide tool by tool what agents can touch.

Every MCP server your team has reviewed, listed in one internal catalog and deployable in one click. The approved path is also the easiest one, so nobody routes around it.

Playwright
Context7
Chrome DevTools
GitHub
Supabase
Zapier
Notion
Stripe
Grafana
HubSpot
Linear
Figma
Terraform
Brave Search
dbt Cloud
Asana
Sentry
Webflow
Snowflake
Netlify
BigQuery
PagerDuty
Vercel
Datadog
Monday.com
Slack
Salesforce
+10,000more

Group servers into one endpoint per role: a data bundle for analysts, a dev bundle for engineers. Someone new connects once and gets everything their team uses.

Every server exposes its tools individually. Switch a destructive tool off and the gateway blocks it for every client, whatever the model asks for.

How it works

A governed catalog for every AI tool

Approve a server once and it is in the catalog for Claude, ChatGPT, Copilot, Cursor, and any other MCP client. People install it in one click from whichever tool they use, and get the same approved version with the same permissions in every one.

Your own servers become first-class

The most useful MCP servers are often open source or built in-house, and they come with no real auth: an API key in an env var, or a credential shared by everyone. Host them on the gateway and they sit behind your SSO like everything else, with the same login and the same access policy.

Change AI tools without redoing the setup

Governance lives in the gateway, not in any one client. A team can move from one AI tool to another, or run several side by side, and the access policy, credentials, and audit trail stay exactly where they are.

Install instructions with tabs for Claude Code, Claude.ai, Cursor, VSCode, Codex, and ChatGPT

Every call is audit logged

Every client connects through the same endpoint, so every call is logged at the gateway with the user, the tool, the server it reached, and what the guardrail did with the request. Export the log to your SIEM or stream it via OTLP to any collector you already run.

Clicking the busiest day in the gateway activity chart, the log filtered to that day, and one entry opened to show the person, the tool, the connector, and the guardrail scan

The Enterprise AI Stack

AI Agents
Mint
MCP Gateway
SSO & OAuth brokerConnector catalogHosted runtimesRole bundlesTool-level controls
Agent Monitoring
Audit logSession tracesSIEM exportOTLP streaming
Agent Identities
Non-human identitiesDelegated accessService accountsCredential rotation
Guardrails
Secret & PII scanningInjection screeningDestructive-call blocksDLP integrations
Coworker Agents
Slack & Teams agentsMemoryGoverned tool access
LLM Gateway
Open & closed modelsGoverned model accessUsage metering
Your systems
Matthias Wagner

“We had an increasing amount of MCP servers: people using Claude Code, Cursor, ChatGPT, and it's cumbersome. We needed an MCP gateway that hosts our MCPs and manages credentials somewhere so people can easily hook this up to whatever AI tools they use! Love what MintMCP has built.”

Flux

Matthias Wagner

Founder & CEO, Flux AI

Ready to govern your agent stack?

Coursera put 2,000 employees on governed AI through one gateway, without slowing developers down.

Frequently asked questions

One endpoint that every AI client connects through. The gateway connects those clients to the MCP servers you have approved, decides who reaches which tools inside them, and writes every call to the log.

They paste one URL, and that URL is the whole configuration: the servers in their bundle, the permissions on each one, and the auth behind it. Someone moving from Cursor to Claude Code pastes the same URL again and keeps the same access.

No. The gateway holds the credentials and completes OAuth on their behalf, so an agent gets a scoped connection and there is no secret to copy into a config file. Rotating a key or cutting off someone who left is one change in one place.

Yes, including the STDIO servers written to run on a laptop. The gateway hosts them, wraps them in SSO and OAuth, and lists them in your catalog next to the thousands of connectors already in the registry, so an internal tool installs the same way a vendor's does.

Managed in the US or the EU, with VPC and self-hosted deployments available on request. MintMCP is SOC 2 Type II audited, and the current report, subprocessors, and security posture are at trust.mintmcp.com.

Customers have deployed Mint in as little as a day, and going org-wide usually takes two to three weeks. Connecting your identity provider and approving a first set of servers is the fast part; deciding who should reach which tools is what takes the time.