Fabric Gateway

Blazing fast AI-native agent gateway

LLMs, MCP servers, agents, and internal APIs, routed, governed, and observed through a single endpoint deployed inside your own cloud.

Fabric Gateway is an AI native gateway built for agents, LLMs, MCP servers, and the systems they interact with.

The enterprise AI adoption problem

As AI adoption grows, every organization runs into the same operational challenges. Fabric solves them natively.

Fragmented AI Access

Every team builds its own integrations with LLMs, MCP servers, and internal APIs. Different authentication, routing, and operational practices create inconsistent AI stacks with no shared control.

Fabric

A single AI native gateway connects every LLM provider, MCP server, and internal API. Authentication, routing, governance, and observability are enforced consistently across every AI request.

Provider Reliability

AI providers experience outages, latency spikes, and rate limits. When one provider degrades, every application depending on it feels the impact.

Fabric

Built in fallback chains, circuit breakers, health aware routing, and weighted traffic distribution keep requests flowing automatically. No application changes required.

Uncontrolled AI Spend

AI costs grow quickly, but most organizations lack real time visibility into who is consuming tokens, which LLMs are driving spend, and where budgets are being exceeded.

Fabric

Every token is metered in real time across teams, users, LLMs, and routes. Set budgets, enforce limits, and receive alerts before costs become overruns.

Inconsistent AI Policies

Every application implements its own guardrails, LLM allowlists, and tool permissions. Policies drift over time, making governance difficult and increasing operational risk.

Fabric

Define AI policies once and enforce them consistently across every agent, LLM, MCP server, and API. Control access based on identity, team, environment, or any custom rule.

Missing Governance & Audit

Security and compliance teams need to know who accessed which LLMs, what tools were used, which policies were applied, and why requests were allowed or denied.

Fabric

Every AI request produces an immutable audit trail capturing identity, routing decisions, policy evaluation, and authorization outcomes. Logs remain in your cloud and are exportable on demand.

One gateway for every agent, every LLM, and every AI request

Deploy it inside your cloud today.

How Fabric Gateway works

Postman Fabric Gateway architecture: a Postman-cloud control plane syncs over mTLS to a data plane in your cloud, which connects your stack (apps, agents, CLIs, developers) to providers (LLMs, MCP registry, REST/gRPC APIs, agents) and enforces auto-failover, rate limits, observability, secret isolation, guardrails, and cloud-native deployment.

Fabric is built for all APIs

1,000+ LLMs, one endpoint

Integrate with any LLM provider: OpenAI, Anthropic, Google Gemini, Azure, AWS Bedrock, Cohere, Mistral, Meta Llama, DeepSeek, and hundreds more.

One OpenAI-compatible Fabric endpoint reaches a wall of 1,000+ models: Claude, GPT-4o, Gemini, Llama, Mistral, DeepSeek, and hundreds more.

MCPs, internal and external

Integrate to any external MCP server. Register your internal ones in minutes. Fabric governs both the same way.

Terminal showing a request to the Fabric merged MCP tools/list endpoint returning namespaced tools from linear, github, stripe, and a private MCP server.

Internal APIs, agent-ready

Fabric exposes your internal APIs as governed routes: registered from Postman collections, OpenAPI / AsyncAPI specs, or your Private API Network, and they're immediately reachable by any agent through the same control plane as every LLM and MCP server.

Internal APIs registered from Postman collections, OpenAPI, AsyncAPI, or the Private API Network pass through Fabric's policy layer (auth, RBAC, and credential brokering) to become a governed, agent-ready route inside your VPC.

Ready to control your AI traffic?

Get early access while we onboard launch customers.