- RUNNING
- INFO
- LIST
- HUMAN
Short answer
How can I deploy backend containers using my AI?
Your agent uses TrueFoundry to launch new backend processes as containers within your service mesh. This allows your AI to add new functionality to your existing infrastructure on the fly. You'll see the specific outcomes for your deployment below.
Where every action lands.
Deployment outcomes
The AI manages the lifecycle of your new backend processes.
RUNNING
Active container processes
The AI launches the container and confirms it is running in your mesh. You get a live process ready to handle tasks.
INFO
Process status and logs
The AI pulls details about the container's health and configuration. You get the specific metadata needed to monitor the new service.
LIST
Active server inventory
The AI checks which MCP servers are currently active in your environment. You get a clear view of all running backend processes.
HUMAN
Manual configuration
The AI cannot rewrite your core infrastructure code or security policies. You must handle high-level architecture changes yourself.
The workflow
What your AI does when a deployment request arrives.
Your agent handles the heavy lifting of container orchestration within TrueFoundry.
Check existing servers
The agent looks at your current environment to see what is already running in the mesh.
truefoundry_list_mcp_serversLaunch new container
The agent triggers the deployment of a new backend process based on your instructions.
truefoundry_deploy_mcp_serverVerify deployment
The agent checks the specific details of the newly created process to ensure it is healthy.
truefoundry_get_mcp_server_infoConfirm status
The agent verifies the container is active and ready to receive traffic or commands.
truefoundry_get_mcp_server_info
Try it
Copy these to start.
Use these prompts to trigger deployment actions immediately.
Starting points
Swap out the container names and service mesh details with your own specific configurations.
TrueFoundry Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_f00nYwHsDWFv4EirgRZbXCnvKYC62empWE9xeumU/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — TrueFoundry capabilities are ready to use.
{
"mcpServers": {
"truefoundry-mcp": {
"url": "https://edge.vinkius.com/vk_preview_f00nYwHsDWFv4EirgRZbXCnvKYC62empWE9xeumU/mcp"
}
}
}List all the MCP servers currently running in my TrueFoundry mesh.
Deploy a new MCP server using the container image 'python:3.9-slim'.
Get the status and info for the 'data-processor' server.
Check if the 'api-gateway' container is currently active in my list of servers.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect TrueFoundry once, then ask.
Just follow the link to connect your account. Your credentials stay encrypted, and you can start managing containers through your AI client right away.
Connect TrueFoundry to your AIFAQ
How this task behaves
- 01
Can my AI delete existing backend containers?
No. The current tools only allow for listing, deploying, and getting info on servers.
- 02
Does the AI need access to my cloud provider directly?
No. The AI interacts with TrueFoundry, which manages the connection to your infrastructure.
- 03
Can the AI change the resource limits of a running container?
No. The agent can only deploy new servers or retrieve information about existing ones.
- 04
How does the AI know which containers are running?
It uses the list tool to pull a real-time inventory of all active MCP servers in your mesh.
- 05
Can I use this to manage non-containerized services?
No. This specific set of tools is designed for managing containerized MCP servers.
More questions about TrueFoundry? See everything the TrueFoundry Connector can do
Connect TrueFoundry to Claude, Cursor, ChatGPT & more
