PraisonAI runs on your own machine — the client starts it, so there is no endpoint to ping. 70 305 installs a week from pypi. Last commit 5 Nov 2026.
AI Agents Framework with Self Reflection and MCP support
We read the source, 1 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
result = subprocess.run(
filepath = os.path.join(output_dir, filename)
_mod = __import__(f"praisonai_code.cli_backends.{_name}", fromlist=[_name])
Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.
echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
"~/Library/LaunchAgents/ai.praison.desktop.plist").expanduser()
const proc = spawn(this.config.command, args, {
shell=True,
elapsed = now - self._last_update
self._tokens = min(self.burst, self._tokens + elapsed * self._rate)
connect_kwargs["client_keys"] = ["~/.ssh/id_rsa", "~/.ssh/id_ed25519"]
url = f"https://api.telegram.org/bot{token}/sendMessage"
env = dict(os.environ)
entries = sorted(d.iterdir(), key=lambda e: (not e.is_dir(), e.name))[:200]
else b.innerHTML=md(m.content);
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
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.
claude mcp add praisonai -- uvx praisonai
{
"mcpServers": {
"praisonai": {
"command": "uvx",
"args": [
"praisonai"
]
}
}
}
[mcp_servers.praisonai]
command = "uvx"
args = ["praisonai"]
{
"mcpServers": {
"praisonai": {
"command": "uvx",
"args": [
"praisonai"
]
}
}
}
{
"servers": {
"praisonai": {
"type": "stdio",
"command": "uvx",
"args": [
"praisonai"
]
}
}
}
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Answers built from our own checks of this server.