Server data from the Official MCP Registry
Managed hosting for open-source AI agents: see your pods and start a new one from your own agent.
About
Managed hosting for open-source AI agents: see your pods and start a new one from your own agent.
Remote endpoints: streamable-http: https://everpod.ai/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
What You'll Need
Set these up before or after installing:
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-everpod-everpod": {
"url": "https://everpod.ai/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Everpod MCP server
Everpod runs an AI agent on a pod: a private, always-on cloud computer of its own. This is Everpod's MCP server, for an agent you already use, such as Claude Code or Codex, to work with your Everpod account for you.
A key lets an agent or an app you trust see your pods and start a new one for you, which you then pay for on everpod.ai. It can't pay, change or cancel a plan, delete anything, or open your agent's control panel.
The server is hosted at https://everpod.ai/mcp. There is nothing to install or run. The full reference is at everpod.ai/docs/api.
Connect
To make a key, open everpod.ai/account/keys and sign in with your email address and the code we send you. If you have no account yet, signing in makes one. An MCP client connects to https://everpod.ai/mcp over HTTP and sends the key as the header Authorization: Bearer YOUR_KEY.
Claude Code
claude mcp add --transport http --scope user everpod https://everpod.ai/mcp \
--header "Authorization: Bearer YOUR_KEY"
Codex
export EVERPOD_API_KEY=YOUR_KEY
codex mcp add everpod --url https://everpod.ai/mcp \
--bearer-token-env-var EVERPOD_API_KEY
OpenClaw
openclaw mcp set everpod '{"url": "https://everpod.ai/mcp",
"transport": "streamable-http",
"headers": {"Authorization": "Bearer YOUR_KEY"}}'
An OpenClaw agent can run this itself, and has the tools from its next message. Or install the Everpod skill from ClawHub, and the agent connects itself and can move itself onto a pod: openclaw skills install @everpod/everpod.
Another MCP client
Give it the address and the header. As a JSON entry, in the form Claude Code's .mcp.json takes, with the key read from an environment variable so that it is never written into a file you share:
{
"mcpServers": {
"everpod": {
"type": "http",
"url": "https://everpod.ai/mcp",
"headers": { "Authorization": "Bearer ${EVERPOD_API_KEY}" }
}
}
}
Then ask the agent, for example:
Start an Everpod pod called Otto and tell me where to pay.
Tools
list_pods: List the pods on the owner's Everpod account, oldest first. Each has its status and the link its owner needs: pay_url while it is awaiting payment, url (the pod's page on everpod.ai) once it is paid.get_pod: Read one pod by its id: its status and the link its owner needs. This is how to check whether a started pod has been paid for, and whether it is ready.start_pod: Start a new pod for the owner, under the name they want for their agent. This call charges nothing: the pod stays unpaid until its owner opens pay_url in their browser and pays there. While the account has an unpaid pod, calling again returns that same pod, renamed if the name differs.
From code
The same three operations are REST routes, with client libraries for JavaScript and Python.
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