Universal Connectivity

One endpoint. Every AI service.One gateway for APIs, MCP, LLMs, and Agents

Point your existing SDK at Fabric Gateway and reach 1,200+ LLM models, internal and external MCP servers, your own APIs, A2A agents, and gRPC services through a single control plane.

One gateway in front of every upstreamAgentsAppsSDKsFabric GatewayOne endpointAuth · Policy · LoggingLLMs1,200+ modelsMCP serversInternal and externalInternal APIsInside your perimeterA2A agentsAgent to agentgRPC servicesTyped RPC
Every route, whether an LLM, an MCP server, or an internal API, passes through the same gateway and shares the same auth, logging, and governance.
1
endpoint, many upstream connections
1,200+
LLM models reachable
5
upstream types, one policy layer
1 line
to change in your code: the base URL
Switching takes one line
- client = OpenAI(base_url="https://api.openai.com/v1")
+ client = OpenAI(base_url="https://api.fabricgateway.ai/v1")

The problem

Teams end up wiring a different client, auth flow, and retry policy for every provider and every internal service an agent needs to reach. Each new integration is a new surface to secure and maintain.

How it works

Fabric sits in front of every upstream your agents talk to. You change a base URL, not your code. From that point on, every route (external LLM, internal API, or MCP server) shares the same auth, logging, and governance layer.

What you get

Drop-in compatible

Existing SDK calls work unchanged.

Fallback and routing

Automatic fallback and routing across providers.

Inside your perimeter

Reach private APIs that a SaaS-only gateway can't see.

One policy layer

The same policies across LLMs, MCP, and internal APIs, nothing bolted on per service.

Bring every AI interaction under control

Connect your first model, MCP server or internal API and apply consistent governance from one gateway.

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