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zaber-dev

Free-AI Gateway MCP Server

by zaber-dev

⚡ Free-AI Gateway

Enterprise-grade capability-routed AI Gateway monorepo aggregating free-tier AI APIs into reusable libraries, Model Context Protocol (MCP) servers, and OpenAI-compatible HTTP proxies.

License: MIT TypeScript Node.js Fastify Docker Learn Guide PRs Welcome

📚 New to Free-AI Gateway? Check out the comprehensive Architecture & Developer Guide (LEARN.md) for detailed deep dives, tutorials, and integration patterns.


📖 Architecture & Monorepo Overview

free-ai-gateway is organized as an enterprise monorepo separating pure AI orchestration infrastructure from protocol-specific delivery mechanisms (HTTP Fastify Proxy & MCP Server):

flowchart TD
    subgraph CoreLayer ["@free-ai-gateway/core (Standalone npm package)"]
        Router["CapabilityRouter & Strategy Engine"]
        Providers["19 Provider Adapters & Dynamic Registry"]
        Resilience["QuotaTracker & CircuitBreaker"]
        Observability["EventBus & MetricsTracker"]
        Transport["HttpClient with Exponential Backoff"]
    end

    subgraph Consumers ["Consumer Applications"]
        GatewayApp["apps/gateway (@free-ai-gateway/gateway)<br/>Fastify HTTP OpenAI Proxy"]
        McpApp["packages/mcp (@free-ai-gateway/mcp)<br/>Model Context Protocol Server"]
        SkillsPkg["packages/skills (@free-ai-gateway/skills)<br/>Agentic IDE Skills & CLI"]
        CliApp["packages/cli (@free-ai-gateway/cli)<br/>Terminal Assistant & Diagnostics"]
        ClientApp["Custom Node.js / TypeScript App<br/>Direct Library Import"]
    end

    GatewayApp -->|consumes| CoreLayer
    McpApp -->|consumes| CoreLayer
    SkillsPkg -->|integrates with| CoreLayer
    CliApp -->|consumes| CoreLayer
    ClientApp -->|consumes| CoreLayer

Monorepo Workspaces Matrix

Package / App

Location

Purpose

Dependencies

@free-ai-gateway/core

packages/core

Protocol-neutral capability router, resilience engine, and 19 provider adapters.

ajv, dotenv (Zero HTTP server)

@free-ai-gateway/mcp

packages/mcp

Model Context Protocol server exposing capability tools to AI agents (Claude Desktop, Cursor).

@free-ai-gateway/core

@free-ai-gateway/skills

packages/skills

Agentic IDE skills (SKILL.md) and installer CLI for Antigravity, Claude, Cursor, and Copilot.

Standalone CLI & API

@free-ai-gateway/cli

packages/cli

Terminal AI assistant, interactive chat REPL, model catalog, and diagnostics tool.

@free-ai-gateway/core, @free-ai-gateway/skills

@free-ai-gateway/gateway

apps/gateway

High-throughput Fastify HTTP proxy serving OpenAI-compatible endpoints with auto-discovery.

@free-ai-gateway/core, fastify


✨ Key Capabilities

  • 🎯 Capability-Based Routing: Request what you need (model: "auto:tool_calling+structured_output"), and let the router choose the fastest healthy free provider.

  • 📐 Strategy Pattern Engine: Pluggable load balancing strategies (AdaptiveHealthStrategy, LowestLatencyStrategy, or custom IRoutingStrategy).

  • 🔄 Autonomous Failover: Transparently cycles through ranked candidate providers until success upon encountering upstream 429 (Rate Limit) or 5xx errors.

  • 🛡️ Circuit Breaker: Detects failing providers and enters exponential cooldown backoff to prevent cascade failures.

  • ⏱️ Sliding-Window Quota Tracking: In-memory accounting of RPM, TPM, and RPD with proactive limit protection.

  • 🔌 Dynamic Provider Autoloader: Add new providers by dropping a class extending BaseProvider into packages/core/src/providers/.

  • 📡 Typed Event Bus: Lifecycle events (request:start, request:success, request:fallback, provider:rate_limited) for OpenTelemetry and Prometheus observability.

  • 🤖 Model Context Protocol (MCP) Ready: Use directly in Claude Desktop, Cursor, or agent workflows.


🧩 Supported Providers Matrix (19 Adapters)

Provider

Modalities / Capabilities

Authentication

Limit Scope

Google AI Studio

text, tool_calling, vision, structured_output, embedding, tts

GOOGLE_API_KEY

Per Model

Groq

text, tool_calling, structured_output, reasoning, speech_to_text

GROQ_API_KEY

Account

SambaNova Cloud

text, tool_calling, reasoning, vision

SAMBANOVA_API_KEY

Account

NVIDIA NIM

text, tool_calling, reasoning, vision, embedding, rerank, moderation

NVIDIA_API_KEY

Account

Cohere

text, tool_calling, structured_output, reasoning, embedding, rerank

COHERE_API_KEY

Account

OpenRouter

text, tool_calling, vision, reasoning, embedding, tts, moderation

OPENROUTER_API_KEY

Account

OpenCode Zen

code, tool_calling, reasoning, text

OPENCODE_API_KEY

Account

Bazaarlink.ai

text, code

BAZAARLINK_API_KEY

Account

aimlapi.com

text

AIMLAPI_API_KEY

Account

OVHcloud AI

text

OVHCLOUD_API_KEY

Per Model

Voyage AI

embedding

VOYAGE_API_KEY

Account

Jina AI

embedding, rerank

JINA_API_KEY

Account

Hugging Face

text, tool_calling, image_gen

HUGGINGFACE_API_KEY

Shared Pool

Cloudflare Workers AI

image_gen, embedding

CLOUDFLARE_API_TOKEN

Shared Pool

Google Cloud Platform

translation, speech_to_text, text_to_speech, vision

GCP_API_KEY

Account

MyMemory

translation

MYMEMORY_API_KEY

Account

Unstructured.io

document_processing

UNSTRUCTURED_API_KEY

Account

Exa AI

web_search

EXA_API_KEY

Account

Tavily

web_search

TAVILY_API_KEY

Account


🚀 Quick Start

1. Installation

# Clone the repository
git clone https://github.com/zaber-dev/free-ai-gateway.git
cd free-ai-gateway

# Install dependencies across all monorepo workspaces
npm install

2. Configure Environment

Copy .env.example to .env and provide keys for the providers you wish to enable:

cp .env.example .env
PORT=3000
GROQ_API_KEY=gsk_...
GOOGLE_API_KEY=AIza...
NVIDIA_API_KEY=nvapi-...
COHERE_API_KEY=...

3. Build & Run

# Compile all workspace packages
npm run build

# Run all 31 automated tests across all packages
npm test

# Start the Fastify HTTP Gateway (Dev mode)
npm run dev

# Start the Gateway in Production
npm start

💻 Usage Modalities

Option A: HTTP Gateway (OpenAI Compatible)

Call the local proxy with any OpenAI SDK or curl:

curl http://localhost:3000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "auto:tool_calling+structured_output",
    "messages": [
      { "role": "user", "content": "Extract name and age from: Alice is 30 years old." }
    ]
  }'
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "http://localhost:3000/v1",
  apiKey: "not-needed",
});

const completion = await client.chat.completions.create({
  model: "auto:reasoning",
  messages: [{ role: "user", content: "Solve: How many r's in strawberry?" }],
});

console.log(completion.choices[0].message.content);

Option B: Embedding @free-ai-gateway/core as a TypeScript Library

Embed the capability router directly into your application without launching an HTTP server:

import {
  CapabilityRouter,
  Registry,
  QuotaTracker,
  CircuitBreaker,
  EventBus,
  LowestLatencyStrategy,
} from "@free-ai-gateway/core";

const registry = new Registry();
const quota = new QuotaTracker();
const breaker = new CircuitBreaker();
const eventBus = new EventBus();

// Listen to lifecycle telemetry
eventBus.on("request:fallback", (evt) => {
  console.warn(`[Fallback] Failed on ${evt.attemptedProvider}: ${evt.error}`);
});

const router = new CapabilityRouter(
  registry,
  quota,
  breaker,
  undefined,
  eventBus,
  new LowestLatencyStrategy()
);

const response = await router.route({
  capabilities: ["text", "tool_calling"],
  payload: {
    messages: [{ role: "user", content: "Hello AI!" }],
  },
});

console.log("Served by:", response.servedBy);
console.log("Data:", response.data);

Option C: Model Context Protocol (MCP) Server

Connect Free-AI Gateway to Claude Desktop or Cursor:

{
  "mcpServers": {
    "free-ai-gateway": {
      "command": "node",
      "args": ["/path/to/free-ai-gateway/packages/mcp/dist/index.js"],
      "env": {
        "GROQ_API_KEY": "gsk_...",
        "GOOGLE_API_KEY": "AIza..."
      }
    }
  }
}

Exposed MCP Tools:

  • freeai_generate: Generate text, reasoning, or code with automatic failover.

  • freeai_search: Web search queries via Exa / Tavily.

  • freeai_embed: Generate vector embeddings via Voyage, Jina, Gemini.

  • freeai_rerank: Rerank documents for retrieval augmented generation (RAG).

  • freeai_analyze_image: Multimodal vision analysis.


Option D: Agentic IDE Skills (@free-ai-gateway/skills)

Install Free-AI Gateway agent skills directly into your IDE or autonomous coding assistant:

# Install to Google Antigravity (.agents/skills)
npx @free-ai-gateway/skills install --target=antigravity

# Install to Cursor (.cursor/skills)
npx @free-ai-gateway/skills install --target=cursor

# Install to Claude Code (.claude/skills)
npx @free-ai-gateway/skills install --target=claude

# Install to all supported AI assistants
npx @free-ai-gateway/skills install --target=all

Option E: Terminal CLI Tool (@free-ai-gateway/cli)

Use Free-AI directly from your terminal or command-line scripts:

# One-off prompt execution with auto-routing
npx @free-ai-gateway/cli "Explain MapReduce in simple terms"

# Interactive chat REPL in terminal
npx @free-ai-gateway/cli chat --capability=reasoning

# Check model catalog across all 19 providers
npx @free-ai-gateway/cli models

# Run system diagnostics
npx @free-ai-gateway/cli doctor

🏛️ Monorepo Structure

free-ai-gateway/
├── packages/
│   ├── core/                        # @free-ai-gateway/core
│   │   ├── AGENTS.md                # Agentic guidelines for @free-ai-gateway/core
│   │   ├── src/
│   │   │   ├── capabilities/        # Capability definitions & parsing
│   │   │   ├── config/              # providers.json, schema, config sources
│   │   │   ├── errors/              # ProviderError, NoProviderAvailableError
│   │   │   ├── observability/       # EventBus, MetricsTracker
│   │   │   ├── providers/           # 19 Provider Adapters + Registry + Loader
│   │   │   ├── resilience/          # QuotaTracker, CircuitBreaker
│   │   │   ├── router/              # CapabilityRouter & Strategy Pattern
│   │   │   ├── transport/           # HttpClient with exponential backoff
│   │   │   ├── types/               # Unified contracts & response schemas
│   │   │   └── index.ts             # Public Core API
│   │   ├── tests/                   # 20 Core unit tests
│   │   └── package.json
│   │
│   ├── mcp/                         # @free-ai-gateway/mcp
│   │   ├── AGENTS.md                # Agentic guidelines for @free-ai-gateway/mcp
│   │   ├── src/
│   │   │   ├── tools/               # generate, search, embed, rerank, analyze-image
│   │   │   ├── resources/           # capabilities, models catalog
│   │   │   ├── server.ts            # FreeAiMcpServer handler
│   │   │   └── index.ts
│   │   ├── tests/                   # 3 MCP server tests
│   │   └── package.json
│   │
│   ├── skills/                      # @free-ai-gateway/skills
│   │   ├── AGENTS.md                # Agentic guidelines for @free-ai-gateway/skills
│   │   ├── src/
│   │   │   ├── skills/              # Built-in skills (free-ai-gateway, scaffolding, mcp)
│   │   │   ├── installer.ts         # Multi-target installer
│   │   │   ├── cli.ts               # CLI executable (free-ai-skills)
│   │   │   └── index.ts
│   │   ├── tests/                   # 4 Skills tests
│   │   └── package.json
│   │
│   └── cli/                         # @free-ai-gateway/cli
│       ├── AGENTS.md                # Agentic guidelines for @free-ai-gateway/cli
│       ├── src/
│       │   ├── commands/            # prompt, chat, models, doctor, skills
│       │   ├── cli.ts               # Argument parsing & dispatcher
│       │   ├── bin.ts               # CLI executable (free-ai, freeai)
│       │   └── index.ts
│       ├── tests/                   # 4 CLI tests
│       └── package.json
│
├── apps/
│   └── gateway/                     # @free-ai-gateway/gateway (HTTP App)
│       ├── AGENTS.md                # Agentic guidelines for @free-ai-gateway/gateway
│       ├── src/
│       │   ├── adapters/            # OpenAI chat response normalizer
│       │   ├── api/
│       │   │   ├── routes/          # Fastify route modules & RouteLoader
│       │   │   └── server.ts        # Server factory, timing hooks, 404 handler
│       │   ├── jobs/                # Background JobScheduler & reverify worker
│       │   └── index.ts
│       ├── tests/                   # 5 Gateway HTTP tests
│       ├── Dockerfile               # Monorepo container builder
│       └── package.json
│
├── tests/
│   └── e2e/                         # 5 Cross-package E2E integration tests
│
├── AGENTS.md                        # Monorepo Root Agentic Guidelines
├── CLAUDE.md                        # Claude Code Instructions
├── .agents/                         # Workspace Skills Directory
├── .github/workflows/ci.yml         # Matrix CI workflow
├── docker-compose.yml
├── package.json                     # Root workspace definition
├── tsconfig.base.json               # Shared TypeScript compiler settings
└── README.md


🤝 Community & Governance


👤 Author

Created and maintained with ❤️ by Md. Mahedi Zaman Zaber.


📄 License

This project is open source and available under the MIT License.

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quality - not tested
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