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AISIX AI Gateway

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Self-hosted AI gateway that governs MCP servers, LLM traffic, and A2A agents behind one endpoint

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "aisix-ai-gateway": {
      "command": "npx",
      "args": [
        "-y",
        "aisix-ai-gateway"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

AISIX AI Gateway

The open-source, Rust-native AI gateway for LLMs and AI agents

One OpenAI-compatible API in front of every model. Route, govern, secure, cache, and observe all your LLM and AI-agent traffic from a single control point β€” shipped as one static binary with low per-request overhead. Run it in your infrastructure for free, forever.

Built by the original creators of Apache APISIX.

License: Apache 2.0 Built with Rust Docs Discord Website

Start free Β· Documentation Β· Quickstart Β· AISIX Cloud Β· Roadmap


AISIX AI Gateway architecture β€” one OpenAI- or Anthropic-compatible API in front of OpenAI, Anthropic, Gemini/Vertex, Bedrock, Azure OpenAI, and DeepSeek, with API key auth, rate and token limits, guardrails, caching, routing and failover, and observability in between

AISIX AI Gateway is a Rust-native gateway that puts a single, OpenAI-compatible API in front of every LLM provider β€” OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, DeepSeek, and any OpenAI-compatible endpoint. It gives platform teams one place to route, govern, secure, and observe LLM traffic, with first-class SSE streaming and low gateway overhead.

It runs as a single static binary β€” low cold-start, lock-free config reads, and hot configuration reloads with no restarts: declare resources in one resources.yaml and reload on SIGHUP, or point the gateway at etcd for a multi-replica cluster. Run the open-source gateway in your infrastructure, or connect it to AISIX Cloud for centralized management with team governance, budgets, audit, and a dashboard.

AISIX AI Gateway (this repo) is the open-source product. It runs without a control plane using declarative configuration or etcd. When connected to AISIX Cloud, the same gateway serves as the data plane. AISIX Cloud adds a commercial control plane, either hosted by API7 (Hybrid Cloud) or hosted by you in your infrastructure (On-Premises). In both options, the gateway runs in your environment and calls providers directly; live AI traffic does not pass through the control plane or API7. The proxy API is identical throughout. Talk to us about AISIX Cloud β†’

⚑ Quickstart

One container. No control plane, no database, no configuration store β€” the gateway reads every dynamic resource from one declarative resources.yaml.

yaml
# config.yaml
resources_file: /etc/aisix/resources.yaml
proxy:
  addr: "0.0.0.0:3000"
admin:
  enabled: false          # a declarative gateway needs no admin listener
observability:
  metrics:
    prometheus:
      enabled: true
      addr: "0.0.0.0:9090"
yaml
# resources.yaml
_format_version: "1"

provider_keys:
  - display_name: openai-main
    provider: openai
    api_key: ${OPENAI_API_KEY}        # interpolated from the environment

models:
  - display_name: my-model
    provider: openai
    model_name: gpt-4o-mini
    provider_key: openai-main

api_keys:
  - display_name: local-dev
    key_env: CALLER_API_KEY           # hashed at load; the plaintext is never stored
    allowed_models: ["my-model"]
server.ts
export OPENAI_API_KEY="YOUR_PROVIDER_KEY"
export CALLER_API_KEY="YOUR_CALLER_KEY"

docker run -d --name aisix \
  --platform linux/amd64 \
  -v "$(pwd)/config.yaml:/etc/aisix/config.yaml:ro" \
  -v "$(pwd)/resources.yaml:/etc/aisix/resources.yaml:ro" \
  -e OPENAI_API_KEY -e CALLER_API_KEY \
  -p 3000:3000 -p 127.0.0.1:9090:9090 \
  ghcr.io/api7/aisix:latest        # proxy β†’ :3000, metrics + status β†’ :9090
#                                  ^ the metrics/status listener is unauthenticated;
#                                    keep it on loopback or a private network

Then call the gateway exactly like OpenAI:

Terminal
curl http://localhost:3000/v1/chat/completions \
  -H "Authorization: Bearer $CALLER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"my-model","messages":[{"role":"user","content":"hello"}]}'

Edit resources.yaml and send SIGHUP (docker kill -s HUP aisix) to apply changes with no restart β€” an invalid file is rejected whole and the last good configuration keeps serving. Check a file before booting with aisix validate --resources resources.yaml.

Full walkthrough: the Gateway Quickstart Β· every field: the resources file reference. For a multi-replica cluster, point the gateway at etcd instead β€” resources_file and etcd are mutually exclusive.

✨ Why AISIX

  • One API, every model. Speak the OpenAI or Anthropic wire format in; the gateway translates to whichever provider each model points at. Point an OpenAI or Claude SDK at one base_url and switch models without changing code.
  • A real gateway, in Rust. Single static binary, low cold-start, lock-free config reads on the hot path, native streaming.
  • Open source, free forever. Apache-2.0 licensed and built to run in your infrastructure. Choose AISIX Cloud when you want centralized management through a control plane and dashboard.
  • Production controls built in. Routing & failover, rate limits, guardrails, caching, and observability ship in the box. (Budgets and spend caps are an AISIX Cloud feature β€” the gateway enforces the control plane's decisions.)

🧩 Features β€” available today

Covered by 183 end-to-end scenario files (496 cases) that run against real gateway processes.

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about AISIX AI Gateway

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "aisix-ai-gateway": { "command": "npx", "args": ["-y", "AISIX AI Gateway"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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