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

Multi-modal, multi-tool agents in minutes.

Start Building View Docs
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.

⚡

Unified SDK

One API for GPT-5, Claude, Gemini, and more. Swap models with a single line of code. pip install targetly

🚀

Deploy in 3 Clicks

Spin up a privately-hosted MCP server from your GitHub repo. No Docker files, no YAML. We handle health checks, autoscaling, and expose a clean MCP endpoint.

🏪

Hosted Marketplace

Call any publicly listed MCP server with a single slug. Discover production-ready tools: web search, code execution, data analysis, and more.

🔄

Universal Model Access

Instantly swap between GPT-5, Claude Sonnet, Gemini Flash, or any leading model. No vendor lock-in, now or ever.

Access 20+ MCP servers from
the Targetly Marketplace

Deploy popular integrations with one click. No configuration required.

GitHubGitHub
SlackSlack
NotionNotion
PostgreSQLPostgreSQL
MongoDBMongoDB
RedisRedis
ElasticsearchElasticsearch
SentrySentry
AtlassianAtlassian
SonarQubeSonarQube
GitHubGitHub
SlackSlack
NotionNotion
PostgreSQLPostgreSQL
MongoDBMongoDB
RedisRedis
ElasticsearchElasticsearch
SentrySentry
AtlassianAtlassian
SonarQubeSonarQube
Brave SearchBrave Search
DuckDuckGoDuckDuckGo
Google MapsGoogle Maps
WikipediaWikipedia
PuppeteerPuppeteer
MySQLMySQL
ClickHouseClickHouse
Neo4jNeo4j
GitGit
FilesystemFilesystem
Brave SearchBrave Search
DuckDuckGoDuckDuckGo
Google MapsGoogle Maps
WikipediaWikipedia
PuppeteerPuppeteer
MySQLMySQL
ClickHouseClickHouse
Neo4jNeo4j
GitGit
FilesystemFilesystem
Explore Marketplace →

Deploy easy, with the only
cloud platform designed for MCP

Three simple steps to deploy your MCP server to production

01

Deploy

Run tly deploy to zip and upload your code. Targetly handles the rest automatically.

02

Build

Targetly builds your Docker image and runs it in an isolated container with resource limits for safety.

03

Access

Get your unique subdomain URL instantly: https://tool-123.targetly.com

Targetly Dashboard Interface

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.

Ready to get started?

Join developers building next-generation AI agents with Targetly.

View Docs → View on GitHub