Moonfire
Put AI to work across your company, safely
Every agent gets approved MCP tools and skills, tied to the person behind it. One MCP gateway, governed by role and recorded call by call.
“I saw MCP early from inside the working group at GitHub. It’s become the standard for how agents connect to tools, and every enterprise now needs to govern that access. Metorial is a year ahead in building that layer.”
Thomas DohmkeFormer GitHub CEO, Entire CEO
The problem
AI reaches company tools faster
than anyone can govern it
Agents are already reaching real apps through personal tokens and local servers. Here's what changes when every call goes through Metorial.
02
API keys in config files
Personal tokens get copied between teammates and never expire. Are MCP servers secure?
Connect, govern, and see
every agent call.
One governed layer between every AI client and the tools it reaches. How the MCP gateway works
Connect, govern, and see
every agent call.
One governed layer between every AI client and the tools it reaches. How the MCP gateway works
How every tool call stays secure
Four checks on every call, from any agent in any client.
- 1
Sign in with your identity provider
People sign in with SAML SSO, and SCIM keeps accounts and groups in step, so leavers lose access when they leave. - 2
Policy decides what is allowed
Access policies grant tools by person and group, down to single tools and read-only sets. - 3
Protoguard screens the call
Protoguard checks every request for prompt injection and watches providers for unexpected schema changes. - 4
One sign-in for the tools, skills, and agents each person is allowed to use.
Portals
One place to connect your team
People sign in, find the integrations and skills they’re allowed to use, and connect their agent with one link. You control who gets access to what.
Skills
Share how your team gets work done
Write a skill once and share it with the people who need it. Instructions and tools stay together, so agents follow your team’s approach.
Agents
Put your tools to work in any agent
Connect the agent your team already uses to approved tools and shared skills. Metorial handles access while people keep working in a familiar interface.
What customers say about Metorial
Frequently asked questions
The questions teams ask most before rolling Metorial out.
What is Metorial?
Metorial is an open-source MCP and skills gateway. It connects AI agents and assistants to the tools and data your company uses, behind one sign-in, with access control and an audit log. See how the MCP gateway works.What is an MCP gateway?
An MCP gateway sits between AI clients like Claude, ChatGPT and Cursor and the MCP servers that connect them to company apps. It handles routing, sign-in, access rules and logging in one place, so each team does not solve them again.Which AI clients does Metorial work with?
Any MCP-compatible client, including Claude, ChatGPT, Cursor and Codex. Each person pastes one Magic MCP URL and gets the same approved tools, so switching client does not mean setting access up again.Can we self-host Metorial?
Yes. Metorial is open core on GitHub and runs self-hosted or on-prem, or you can use Metorial Cloud. See how it works.How does access control work with our identity provider?
People sign in with the SSO you already run, and SCIM keeps accounts in step. Admins grant tools by role, and access control applies everywhere at once, across every client and agent.Is Metorial secure and compliant?
Every tool call runs on a real person's identity and is recorded. Metorial is SOC 2 Type II and GDPR compliant, with EU and US regions, and checks each call for prompt injection. See security.How much does Metorial cost?
There is a free Dev plan, a fixed-price Scale plan, and custom Enterprise pricing. See pricing for the current plans.Can we add our own MCP servers?
Yes. Alongside the catalog, you can connect your own internal servers and remote MCP servers from other vendors, behind the same access rules and audit log.