mcpbeat

Imperal MCP Server

io.github.imperalcloud/imperal-mcp
local only

Imperal MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 412 installs a week from pypi.

Build, validate, smoke-test & deploy Imperal declarative IR apps from any LLM or agent.

Installs per day peak 474 · avg 97 · -13% w/w
a month agotoday
412
Installs / week
pypi · imperal-mcp
Stars
on GitHub
Last commit
0 releases in 90 days
License
language unknown

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add imperal-mcp -- uvx imperal-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "imperal-mcp": {
      "args": [
        "imperal-mcp"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.imperal-mcp]
command = "uvx"
args = ["imperal-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "imperal-mcp": {
      "args": [
        "imperal-mcp"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "imperal-mcp": {
      "args": [
        "imperal-mcp"
      ],
      "command": "uvx"
    }
  }
}

Imperal MCP — questions

Answers built from our own checks of this server.

Why is there no uptime for Imperal MCP?
Imperal MCP runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package imperal-mcp was installed 412 times last week.
How do I connect Imperal MCP?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls imperal-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Imperal MCP?
The pypi package imperal-mcp was installed 412 times in the last week. Week over week that is -13%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.