Connect any model to
any MCP server with a
single API.

Multi-modal, multi-tool agents in minutes.

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Python

from targetly import Targetly

client = Targetly()

# Call any model with the same API

response = client.responses.create(

model= "gpt-5-nano" ,

input= "What's the weather in Tokyo?"

)

pip install targetly

Ship complex agents in 5 lines of code

Our MCP gateway and SDK unify the fragmented AI agent ecosystem into a single, drop-in API.

main.py

from targetly
                                    import Targetly
client = Targetly()
# Call any model
response = client.responses.create(
                                
 model="gpt-5-nano",
 input="Hello world"
)

Unified SDK

One API for GPT-5, Claude, Gemini, and more. Swap models instantly.

$ tly deploy

Deploying to Targetly...

✓ Build complete

✓ Container running

Live at: tool-123.targetly.in

Zero Config

Deploy in 3 Clicks

Push your code, we handle infrastructure. No Docker, no YAML.

🔍Web Search

🐙GitHub

💾PostgreSQL

📊Analytics

📁Filesystem

+20more

Hosted Marketplace

Call any MCP server with a single slug. Production-ready tools.

🔄

Universal Models

Swap between any leading AI model. No vendor lock-in, ever.

Connect

→

🔄Push

→

🚀Deploy

GitHub Deploy

Connect your repo, push code, auto-deploy. Zero configuration.

💰

Earn credits when others use your tools

Earn Rewards

Publish to marketplace, earn passive income from usage.

Access 20+ MCP servers from
the Targetly Marketplace

Deploy popular integrations with one click. No configuration required.

GitHub

Slack

Notion

PostgreSQL

MongoDB

Redis

Elasticsearch

Sentry

Atlassian

Cloudflare

GitHub

Slack

Notion

PostgreSQL

MongoDB

Redis

Elasticsearch

Sentry

Atlassian

Cloudflare

Brave Search

DuckDuckGo

Google Maps

Wikipedia

Puppeteer

MySQL

ClickHouse

Neo4j

Git

Filesystem

Brave Search

DuckDuckGo

Google Maps

Wikipedia

Puppeteer

MySQL

ClickHouse

Neo4j

Git

Filesystem

Explore Marketplace →

Deliver the code, and we'll
handle the complexity

Simple, powerful CLI for complete control over your deployments

$ tly login

✓ Logged in successfully

$ tly deploy

Deploying to Targetly...

✓ Build complete

✓ Container running

Your tool is live at: https://tool-123.targetly.com

$ tly status tool-123

Status: running

Port: 8080

Last accessed: 2 minutes ago

tly start <id>

Wake a sleeping deployment without redeploying

tly logs <id>

Fetch real-time logs from your deployment

Questions about MCP?

Why Targetly?

Targetly is purpose-built for MCP servers. Unlike generic hosting platforms, we understand the unique requirements of Model Context Protocol tools and provide optimized infrastructure, smart resource management, and a developer experience designed specifically for AI agent deployments.

How does auto-idle work?

Containers automatically stop after 15 minutes of inactivity to conserve resources. When you need your tool again, simply run tly start <id> to resume instantly—no redeployment required.

Is my code secure?

Each deployment runs in an isolated Docker container with strict resource limits. Your code and data are protected with industry-standard security measures, and containers cannot access each other's resources.

What's the tech stack?

Targetly uses Docker for containerization, Nginx for reverse proxying, PostgreSQL for metadata storage, and runs on optimized VPS infrastructure. Everything is designed for stability and efficiency on limited resources.

Connect any model to any MCP server with a single API.