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A blazing fast AI Gateway with integrated guardrails. Route to 1,600+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.

MCP Servers12k estrellas1.1k forksTypeScriptMITActualizado 18d ago
Nota editorial

Portkey AI Gateway is an open-source TypeScript routing layer that sits between applications and over 250 LLM providers, exposing a single OpenAI-compatible API endpoint so developers can swap models without rewriting client code. It supports automatic retries, fallbacks, and load balancing across providers to reduce downtime, and includes more than 50 configurable guardrails for content safety and compliance. The gateway runs locally via a single npx command, weighs 122kb, and adds under one millisecond of latency. Its MCP Gateway feature adds enterprise-grade authentication and observability specifically for MCP server management, making it relevant to teams building Claude-powered agents through the Model Context Protocol. It also integrates with LangChain, LlamaIndex, and Autogen. The project claims to process over 10 billion tokens daily, which gives a sense of its production scale. Platform engineers, AI product teams, and developers who need provider redundancy or policy enforcement across multiple models are the primary beneficiaries.

ClaudeWave Trust Score
100/100
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Passed
  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Healthy fork ratio
  • Clear description
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  • Mature repo (>1y old)
Last scanned: 6/11/2026
Install in Claude Code / Claude Desktop
Method: NPX · @portkey-ai/gateway
Claude Code CLI
claude mcp add gateway -- npx -y @portkey-ai/gateway
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "gateway": {
      "command": "npx",
      "args": ["-y", "@portkey-ai/gateway"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Casos de uso

Resumen de MCP Servers


<p align="right">
   <strong>English</strong> | <a href="./.github/README.cn.md">中文</a> | <a href="./.github/README.jp.md">日本語</a>
</p>

> [!IMPORTANT]
> :rocket: Gateway 2.0 (Pre-Release) Portkey's core enterprise gateway is merging into open-source with our 2.0 release. You can try the pre-release branch [here](https://github.com/portkey-ai/gateway/tree/2.0.0).
> Read more about what's next for Portkey in our [**Series A announcement**](https://portkey.wiki/rohit-a).


<div align="center">

🆕 **[Portkey Models](https://github.com/Portkey-AI/models)** - Open-source LLM pricing for 2,300+ models across 40+ providers. [Explore →](https://portkey.ai/models)


# AI Gateway
#### Route to 250+ LLMs with 1 fast & friendly API

<img src="https://cfassets.portkey.ai/sdk.gif" width="550px" alt="Portkey AI Gateway Demo showing LLM routing capabilities" style="margin-left:-35px">

[Docs](https://portkey.wiki/gh-1) | [Enterprise](https://portkey.wiki/gh-2) | [Hosted Gateway](https://portkey.wiki/gh-3) | [Changelog](https://portkey.wiki/gh-4) | [API Reference](https://portkey.wiki/gh-5)


[![License](https://img.shields.io/github/license/Ileriayo/markdown-badges)](./LICENSE)
[![Discord](https://img.shields.io/discord/1143393887742861333)](https://portkey.wiki/gh-6)
[![Twitter](https://img.shields.io/twitter/url/https/twitter/follow/portkeyai?style=social&label=Follow%20%40PortkeyAI)](https://portkey.wiki/gh-7)
[![npm version](https://badge.fury.io/js/%40portkey-ai%2Fgateway.svg)](https://portkey.wiki/gh-8)
[![Better Stack Badge](https://uptime.betterstack.com/status-badges/v1/monitor/q94g.svg)](https://portkey.wiki/gh-9)

<a href="https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/stacks/quickcreate?stackName=portkey-gateway&templateURL=https://portkey-gateway-ec2-quicklaunch.s3.us-east-1.amazonaws.com/portkey-gateway-ec2-quicklaunch.template.yaml"><img src="https://img.shields.io/badge/Deploy_to_EC2-232F3E?style=for-the-badge&logo=amazonwebservices&logoColor=white" alt="Deploy to AWS EC2" width="105"/></a> [![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/Portkey-AI/gateway)
</div>

<br/>

The [**AI Gateway**](https://portkey.wiki/gh-10) is designed for fast, reliable & secure routing to 1600+ language, vision, audio, and image models. It is a lightweight, open-source, and enterprise-ready solution that allows you to integrate with any language model in under 2 minutes.

- [x] **Blazing fast** (<1ms latency) with a tiny footprint (122kb)
- [x] **Battle tested**, with over 10B tokens processed everyday
- [x] **Enterprise-ready** with enhanced security, scale, and custom deployments

<br>

#### What can you do with the AI Gateway?
- Integrate with any LLM in under 2 minutes - [Quickstart](#quickstart-2-mins)
- Prevent downtimes through **[automatic retries](https://portkey.wiki/gh-11)** and **[fallbacks](https://portkey.wiki/gh-12)**
- Scale AI apps with **[load balancing](https://portkey.wiki/gh-13)** and **[conditional routing](https://portkey.wiki/gh-14)**
- Protect your AI deployments with **[guardrails](https://portkey.wiki/gh-15)**
- Go beyond text with **[multi-modal capabilities](https://portkey.wiki/gh-16)**
- Explore **[agentic workflow](https://portkey.wiki/gh-17)** integrations
- Manage MCP servers with enterprise auth & observability using **[MCP Gateway](https://portkey.ai/docs/product/mcp-gateway)**

<br><br>

> [!TIP]
> Starring this repo helps more developers discover the AI Gateway 🙏🏻
>
> ![star-2](https://github.com/user-attachments/assets/53597dce-6333-4ecc-a154-eb05532954e4)
> 
<br>


<br>

## Quickstart (2 mins)

### 1. Setup your AI Gateway

```bash
# Run the gateway locally (needs Node.js and npm)
npx @portkey-ai/gateway
```
> The Gateway is running on `http://localhost:8787/v1`
> 
> The Gateway Console is running on `http://localhost:8787/public/`

<sup>
Deployment guides:
&nbsp; <a href="https://portkey.wiki/gh-18"><img height="12" width="12" src="https://cfassets.portkey.ai/logo/dew-color.svg" /> Portkey Cloud (Recommended)</a>
&nbsp; <a href="./docs/installation-deployments.md#docker"><img height="12" width="12" src="https://cdn.simpleicons.org/docker/3776AB" /> Docker</a>
&nbsp; <a href="./docs/installation-deployments.md#nodejs-server"><img height="12" width="12" src="https://cdn.simpleicons.org/node.js/3776AB" /> Node.js</a>
&nbsp; <a href="./docs/installation-deployments.md#cloudflare-workers"><img height="12" width="12" src="https://cdn.simpleicons.org/cloudflare/3776AB" /> Cloudflare</a>
&nbsp; <a href="./docs/installation-deployments.md#replit"><img height="12" width="12" src="https://cdn.simpleicons.org/replit/3776AB" /> Replit</a>
&nbsp; <a href="./docs/installation-deployments.md"> Others...</a>

</sup>

### 2. Make your first request

<!-- <details open>
<summary>Python Example</summary> -->
```python
# pip install -qU portkey-ai

from portkey_ai import Portkey

# OpenAI compatible client
client = Portkey(
    provider="openai", # or 'anthropic', 'bedrock', 'groq', etc
    Authorization="sk-***" # the provider API key
)

# Make a request through your AI Gateway
client.chat.completions.create(
    messages=[{"role": "user", "content": "What's the weather like?"}],
    model="gpt-4o-mini"
)
```



<sup>Supported Libraries:
&nbsp; [<img height="12" width="12" src="https://cdn.simpleicons.org/javascript/3776AB" /> JS](https://portkey.wiki/gh-19)
&nbsp; [<img height="12" width="12" src="https://cdn.simpleicons.org/python/3776AB" /> Python](https://portkey.wiki/gh-20)
&nbsp; [<img height="12" width="12" src="https://cdn.simpleicons.org/gnubash/3776AB" /> REST](https://portkey.sh/gh-84)
&nbsp; [<img height="12" width="12" src="https://cdn.simpleicons.org/openai/3776AB" /> OpenAI SDKs](https://portkey.wiki/gh-21)
&nbsp; [<img height="12" width="12" src="https://cdn.simpleicons.org/langchain/3776AB" /> Langchain](https://portkey.wiki/gh-22)
&nbsp; [LlamaIndex](https://portkey.wiki/gh-23)
&nbsp; [Autogen](https://portkey.wiki/gh-24)
&nbsp; [CrewAI](https://portkey.wiki/gh-25)
&nbsp; [More..](https://portkey.wiki/gh-26)
</sup>

On the Gateway Console (`http://localhost:8787/public/`) you can see all of your local logs in one place.

<img src="https://github.com/user-attachments/assets/362bc916-0fc9-43f1-a39e-4bd71aac4a3a" width="400" />


### 3. Routing & Guardrails
`Configs` in the LLM gateway allow you to create routing rules, add reliability and setup guardrails.
```python
config = {
  "retry": {"attempts": 5},

  "output_guardrails": [{
    "default.contains": {"operator": "none", "words": ["Apple"]},
    "deny": True
  }]
}

# Attach the config to the client
client = client.with_options(config=config)

client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Reply randomly with Apple or Bat"}]
)

# This would always response with "Bat" as the guardrail denies all replies containing "Apple". The retry config would retry 5 times before giving up.
```
<div align="center">
<img src="https://portkey.ai/blog/content/images/size/w1600/2024/11/image-15.png" width=600 title="Request flow through Portkey's AI gateway with retries and guardrails" alt="Request flow through Portkey's AI gateway with retries and guardrails"/>
</div>

You can do a lot more stuff with configs in your AI gateway. [Jump to examples  →](https://portkey.wiki/gh-27)

<br/>

### Enterprise Version (Private deployments)

<sup>

[<img height="12" width="12" src="https://cfassets.portkey.ai/amazon-logo.svg" /> AWS](https://portkey.wiki/gh-28)
&nbsp; [<img height="12" width="12" src="https://cfassets.portkey.ai/azure-logo.svg" /> Azure](https://portkey.wiki/gh-29)
&nbsp; [<img height="12" width="12" src="https://cdn.simpleicons.org/googlecloud/3776AB" /> GCP](https://portkey.wiki/gh-30)
&nbsp; [<img height="12" width="12" src="https://cdn.simpleicons.org/redhatopenshift/3776AB" /> OpenShift](https://portkey.wiki/gh-31)
&nbsp; [<img height="12" width="12" src="https://cdn.simpleicons.org/kubernetes/3776AB" /> Kubernetes](https://portkey.wiki/gh-85)

</sup>

The LLM Gateway's [enterprise version](https://portkey.wiki/gh-86) offers advanced capabilities for **org management**, **governance**, **security** and [more](https://portkey.wiki/gh-87) out of the box. [View Feature Comparison →](https://portkey.wiki/gh-32)

The enterprise deployment architecture for supported platforms is available here - [**Enterprise Private Cloud Deployments**](https://portkey.ai/docs/self-hosting/hybrid-deployments/architecture)

<a href="https://portkey.sh/demo-13"><img src="https://portkey.ai/blog/content/images/2024/08/Get-API-Key--5-.png" height=50 alt="Book an enterprise AI gateway demo" /></a><br/>

<br>

## MCP Gateway

[MCP Gateway](https://portkey.ai/docs/product/mcp-gateway) provides a centralized control plane for managing MCP (Model Context Protocol) servers across your organization.

- **Authentication** — Single auth layer at the gateway. Users authenticate once; your MCP servers receive verified requests
- **Access Control** — Control which teams and users can access which servers and tools. Revoke access instantly
- **Observability** — Every tool call logged with full context: who called what, parameters, response, latency
- **Identity Forwarding** — Forward user identity (email, team, roles) to MCP servers automatically

Works with Claude Desktop, Cursor, VS Code, and any MCP-compatible client. [Get started →](https://portkey.ai/docs/product/mcp-gateway/quickstart)

<br>

## Core Features
### Reliable Routing
- <a href="https://portkey.wiki/gh-37">**Fallbacks**</a>: Fallback to another provider or model on failed requests using the LLM gateway. You can specify the errors on which to trigger the fallback. Improves reliability of your application.
- <a href="https://portkey.wiki/gh-38">**Automatic Retries**</a>: Automatically retry failed requests up to 5 times. An exponential backoff strategy spaces out retry attempts to prevent network overload.
ai-gatewaygatewaygenerative-aihacktoberfestlangchainllmllm-gatewayllmopsllmsmcpmcp-clientmcp-gatewaymcp-serversmodel-routeropenai

Lo que la gente pregunta sobre gateway

¿Qué es Portkey-AI/gateway?

+

Portkey-AI/gateway es mcp servers para el ecosistema de Claude AI. A blazing fast AI Gateway with integrated guardrails. Route to 1,600+ LLMs, 50+ AI Guardrails with 1 fast & friendly API. Tiene 12k estrellas en GitHub y se actualizó por última vez 18d ago.

¿Cómo se instala gateway?

+

Puedes instalar gateway clonando el repositorio (https://github.com/Portkey-AI/gateway) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar Portkey-AI/gateway?

+

Nuestro agente de seguridad ha analizado Portkey-AI/gateway y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene Portkey-AI/gateway?

+

Portkey-AI/gateway es mantenido por Portkey-AI. La última actividad registrada en GitHub es de 18d ago, con 192 issues abiertos.

¿Hay alternativas a gateway?

+

Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.

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