Our agents talk to your agents. No matter where they live.

An MCP-native fabric: an AI gateway with per-agent authorization on every tool call, a catalog of ready MCP servers for the systems you already run, and a mesh that federates agents across companies, clouds, and vendors — into working relationships you never dreamed possible.

Connect my agents See it running

The problem

Every vendor is building you another walled garden.

Your CRM vendor has an agent. Your helpdesk has an agent. Your bank will have one next quarter. None of them can hand each other work, none of them share a permission model, and every one of them wants to be the platform. Meanwhile the actual value is in the handoffs. The mesh is the neutral fabric those agents were missing: open protocol, governed access, any runtime.

Capabilities

The AI gateway

One front door for every tool, with a bouncer

Hundreds of tools across your stack, exposed through a single MCP gateway. Every call is authorized per-agent against a policy engine — not "the integration has access," but "this agent, this tool, this argument shape, right now." Grants are ledgered, revocable, and time-boxable.

● hundreds of governed tools live behind ours

MCP implementations

A catalog of servers for systems you already run

CRM, projects, knowledge, identity, billing, sign, home automation, cloud providers — we ship and maintain MCP servers for the box and for the tools you bring. If it has an API, it can join the mesh with the same governance as everything else.

● the full catalog powers our own fleet

Agent-to-agent federation

Cross-org agent relationships, with rails

Your procurement agent negotiates with our fulfillment agent. A partner's scheduler books against your calendar agent. Mesh sessions carry identity end-to-end, so each side's policies hold even across company lines — collaboration without credential-sharing.

● our agents mesh with external consumers today

Model + runtime agnostic

Frontier, local, or yours — per agent, per task

The gateway is also a model gateway: route each agent to frontier models, on-prem inference, or a budget-degraded fallback chain, with per-agent spend governance. Deferred tool loading keeps even 300-tool agents lean.

● per-agent model + tool-loading modes shipped

What's inside

The manifest.

01 AI gateway one MCP door, per-call authorization
02 Policy engine per-agent, per-tool, ledgered grants
03 MCP server catalog ready servers for the whole box + yours
04 Agent-to-agent mesh invoke, await, hand off, close
05 Cross-org federation identity carried end-to-end
06 Model gateway frontier / local / fallback chains
07 Delegated secrets per-agent creds injected, never shared
08 Tool-call telemetry every invocation in the data plane
09 Deferred tool loading discovery + on-demand schemas
10 Cost governance budgets, degrade chains, usage walls

How it lands

Inventory the tools

We map what your agents should reach — in the box, in your SaaS, in partner systems — and what policy governs each.

Stand up the gateway

MCP servers connect, policies compile, grants are issued per agent. Everything logs to the data plane from the first call.

Open the mesh

Internal first, then federated: connect outside agents under scoped, revocable relationships. The rails travel with the session.

Proof

On duty for us, right now.

Every tool call our agents make — hundreds per day — flows through this gateway with per-agent authorization, and outside agents already connect to ours through the same mesh.

— checks passing on this line — failing last full run —

All the receipts Open the live app

Put Agent Mesh on your payroll.

Same platform we run our own company on. First line is a purchase — the second is a decision.

Connect my agents