io.github.timmx7/styx-mcp-server

Official registry AI and agents

MCP server for Styx — intelligent AI routing across OpenAI, Anthropic, Google, and Mistral.

What can you do with io.github.timmx7/styx-mcp-server?

  • 🔌 MCP Native — Built-in MCP server. Connect Claude Code or Cursor in one command
  • 🔀 Universal Routing — One OpenAI-compatible endpoint for all providers
  • 🤖 styx:auto — Intelligent model routing: use "model": "styx:auto" and let Styx pick the right model based on request complexity
  • 🔑 BYOK — Bring your own API keys, encrypted at rest (Fernet/AES)
  • 📊 Dashboard — Track requests, costs, latency per project and model
  • 🔄 Fallbacks — Auto-failover between providers with circuit breakers
  • 💰 Billing — Built-in subscription and credit-based billing (Stripe)
  • 🧠 Semantic Cache — Similar questions return cached responses instantly

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package styx-mcp-server
Claude Code
claude mcp add styx-mcp-server -e 'STYX_API_KEY=<your styx_api_key>' -e 'STYX_TOKEN=<your styx_token>' -e 'STYX_API_URL=<STYX_API_URL>' -e 'STYX_PROXY_URL=<STYX_PROXY_URL>' -- npx -y styx-mcp-server@1.0.0
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "styx-mcp-server": {
            "command": "npx",
            "args": [
                "-y",
                "styx-mcp-server@1.0.0"
            ],
            "env": {
                "STYX_API_KEY": "<your styx_api_key>",
                "STYX_TOKEN": "<your styx_token>",
                "STYX_API_URL": "<STYX_API_URL>",
                "STYX_PROXY_URL": "<STYX_PROXY_URL>"
            }
        }
    }
}

Environment variables

  • STYX_API_KEY required secret Styx API key for routing AI requests through the gateway (required for styx_send_request)
  • STYX_TOKEN required secret Styx auth token for project and key management (required for management tools)
  • STYX_API_URL Styx backend API URL
  • STYX_PROXY_URL Styx proxy URL for AI request routing

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. ⚡ Styx
  2. What is Styx?
  3. Features
  4. Prerequisites
  5. Quick Start
  6. Supported Providers
  7. Architecture
  8. Project Structure
  9. Comparison
  10. Claude Code Plugin
  11. MCP Connector
  12. Examples
  13. Contributing
  14. License
  15. Links

⚡ Styx

The MCP-Native AI Gateway

Route requests to any AI provider through one universal endpoint.

Self-hosted. Open source. BYOK.


What is Styx?

Styx is an open-source AI gateway that sits between your app and AI providers. Send requests to OpenAI, Anthropic, Google, or Mistral — all through one OpenAI-compatible endpoint. Bring your own API keys, self-host on your infra, and get full visibility into every request.

The first AI gateway with native MCP (Model Context Protocol) support.

from openai import OpenAI

client = OpenAI(
    api_key="your-styx-api-key",
    base_url="http://localhost:8080/v1",  # ← Only change needed
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello from Styx"}],
)

Features

  • 🔌 MCP Native — Built-in MCP server. Connect Claude Code or Cursor in one command
  • 🔀 Universal Routing — One OpenAI-compatible endpoint for all providers
  • 🤖 styx:auto — Intelligent model routing: use "model": "styx:auto" and let Styx pick the right model based on request complexity
  • 🔑 BYOK — Bring your own API keys, encrypted at rest (Fernet/AES)
  • 📊 Dashboard — Track requests, costs, latency per project and model
  • 🔄 Fallbacks — Auto-failover between providers with circuit breakers
  • 💰 Billing — Built-in subscription and credit-based billing (Stripe)
  • 🧠 Semantic Cache — Similar questions return cached responses instantly
  • ⚡ Smart Routing — ML classifier routes to the optimal model for each request
  • 🐳 Self-Hosted — Docker Compose, 5-minute setup
  • 🔒 Secure — HMAC key hashing, Fernet encryption, rate limiting, TLS

Prerequisites

  • Docker Engine 24+ and Docker Compose v2
  • At least one AI provider API key (OpenAI, Anthropic, Google, or Mistral)
  • Supabase account (free tier) — only for production mode (not needed for dev mode)

Quick Start

git clone https://github.com/timmx7/styx.git
cd styx
./setup.sh                 # interactive wizard, generates .env
docker compose up -d --build   # first build: ~15-20 min; subsequent starts: ~60s

The wizard lets you choose between:

  • Dev mode — No Supabase needed, no authentication, instant start
  • Production mode — Full Supabase auth, account creation, API keys
Option B: Manual Setup
git clone https://github.com/timmx7/styx.git
cd styx
cp .env.example .env

Edit .env with:

  1. Set SKIP_AUTH=true for dev mode, or configure Supabase for production
  2. At least one AI provider key (e.g., OPENAI_API_KEY)
docker compose up -d --build   # first build: ~15-20 min; subsequent starts: ~60s
Access Points
Connect Claude Code
claude mcp add styx -- npx styx-mcp
Connect Cursor

Add to .cursor/mcp.json:

{
  "styx": {
    "command": "npx",
    "args": ["styx-mcp"],
    "env": { "STYX_API_KEY": "your-key" }
  }
}
Send your first request
curl -X POST http://localhost:8080/v1/chat/completions \
  -H "Authorization: Bearer YOUR_STYX_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [{"role": "user", "content": "Hello from Styx"}]
  }'

Dev mode: skip the Authorization header — requests are accepted without an API key.

Use with any OpenAI SDK
// Node.js / TypeScript
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "your-styx-key",
  baseURL: "http://localhost:8080/v1",
});
# Python
from openai import OpenAI

client = OpenAI(
    api_key="your-styx-key",
    base_url="http://localhost:8080/v1",
)

Supported Providers

ProviderModelsStatus
OpenAIgpt-4.1, gpt-4.1-mini, gpt-4o, gpt-4o-mini, o3, o4-mini✅
Anthropicclaude-sonnet-4, claude-3-5-sonnet, claude-3-5-haiku, claude-3-haiku✅
Googlegemini-2.5-pro, gemini-2.5-flash, gemini-2.5-flash-lite, gemini-2.0-flash✅
Mistralmistral-large, mistral-medium-3, mistral-small, codestral✅
Azure OpenAISame as OpenAI models, via Azure deployments✅

Auto-routing: Any model matching the provider prefixes above (gpt-*, claude-*, gemini-*, mistral-*, o3*, o4*) is routed automatically — even models released after your last config update.

Architecture

┌─────────┐     ┌──────────────┐     ┌───────────────┐
│  Client  │────▶│  Go Router   │────▶│  AI Provider  │
│  (app)   │◀────│  (port 8080) │◀────│  (OpenAI...)  │
└─────────┘     └──────┬───────┘     └───────────────┘
                       │
                ┌──────▼───────┐
                │ Python API   │
                │ (port 8000)  │
                │ Auth/Billing │
                └──────┬───────┘
                       │
          ┌────────────┼────────────┐
          │            │            │
    ┌─────▼──┐  ┌──────▼──┐  ┌─────▼──┐
    │Postgres│  │  Redis   │  │ Next.js│
    │  (DB)  │  │ (cache)  │  │ (UI)   │
    └────────┘  └─────────┘  └────────┘

Request flow:

Client request
    │
    ▼
Go Router (:8080) ──▶ Cache check ──▶ HIT? Return instantly
    │                                   MISS? Continue...
    ▼
Budget check ──▶ OVER LIMIT? Block + alert
    │              OK? Continue...
    ▼
Route to best provider (OpenAI / Anthropic / Google / Mistral)
    │
    ▼
Provider error? ──▶ Automatic fallback (circuit breaker)
    │
    ▼
Response to client + log to ClickHouse + update Redis counters

Project Structure

styx/
├── router/          # Go reverse proxy — the fast path (<10ms overhead)
├── backend/         # Python FastAPI — auth, billing, business logic
├── dashboard/       # Next.js + Tailwind — web dashboard
├── classifier/      # ML request classifier (complexity scoring)
├── cache-service/   # Semantic cache (Qdrant + sentence-transformers)
├── sdk/             # Python & Node.js client SDKs
├── packages/        # MCP server, gateway CLI
├── infra/           # Docker, Helm, K8s, k6 load tests, Prometheus
└── docker-compose.yml

Comparison

FeatureStyxOpenRouterLiteLLMPortkey
MCP Native✅❌❌❌
Self-Hosted✅❌✅❌
Open Source✅ Apache 2.0❌✅❌
Dashboard✅ Full❌Basic✅
BYOK✅ Encrypted❌✅✅
Semantic Cache✅❌❌❌
Smart Routing✅ ML❌❌✅
Circuit Breaker✅❌✅✅
One-Command Install✅N/A❌N/A

Claude Code Plugin

Install the Styx plugin directly in Claude Code:

/plugin install styx@claude-plugin-directory

Or browse: /plugin > Discover > styx

This gives you /styx:setup, /styx:status, and the @styx-ops agent for managing your gateway from Claude Code.

MCP Connector

Styx includes a native MCP server. Connect it to Claude, Cursor, or any MCP-compatible client.

Local (stdio — requires npx)

Claude Code:

claude mcp add styx -- npx styx-mcp

Cursor: Add to .cursor/mcp.json:

{
  "styx": {
    "command": "npx",
    "args": ["styx-mcp"],
    "env": { "STYX_API_KEY": "your-key" }
  }
}
Remote MCP Server

Connect to a hosted Styx instance without local installation:

Claude.ai / Claude Desktop: Settings > Connectors > Add custom connector > URL: https://mcp.styxhq.com/mcp

Claude Code:

claude mcp add --transport http styx https://mcp.styxhq.com/mcp

See docs/DEPLOY_MCP_REMOTE.md for self-hosting the remote MCP server.

Examples

Check gateway health

Prompt: "Check if my AI gateway is healthy and which providers are connected" → Styx checks all provider connections, returns status and latency per provider, flags any issues.

Analyze spending

Prompt: "How much have I spent on AI APIs this month?" → Styx aggregates usage across providers, returns cost breakdown by model, shows cache savings.

Create a scoped API key

Prompt: "Create an API key for the marketing team limited to 1000 requests/day" → Styx generates a rate-limited key, returns the key and its configuration.

Contributing

We welcome contributions! Please see CONTRIBUTING.md.

License

Apache 2.0 — see LICENSE for details.

Frequently asked questions

What is io.github.timmx7/styx-mcp-server?

MCP server for Styx — intelligent AI routing across OpenAI, Anthropic, Google, and Mistral.

How do I install io.github.timmx7/styx-mcp-server?

It runs on your machine. In Claude Code: claude mcp add styx-mcp-server -e 'STYX_API_KEY=<your styx_api_key>' -e 'STYX_TOKEN=<your styx_token>' -e 'STYX_API_URL=<STYX_API_URL>' -e 'STYX_PROXY_URL=<STYX_PROXY_URL>' -- npx -y styx-mcp-server@1.0.0. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.timmx7/styx-mcp-server need an API key?

Yes. It expects STYX_API_KEY, STYX_TOKEN, which you set in its configuration.

Is io.github.timmx7/styx-mcp-server open source?

Yes. Its code is on GitHub under the Apache-2.0 license.

Who maintains io.github.timmx7/styx-mcp-server?

It is published by timmx7. AI.tn lists it but does not maintain or endorse it.

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