Qampi runs on your own machine — the client starts it, so there is no endpoint to ping. 215 installs a week from npm. Last commit 11 Oct 2026.
LinkedIn outreach from your agent: find prospects, add leads, run campaigns, read results.
We read the source, 10 h ago · rules ccca72095570
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.
override_abs = os.path.join(self.base_dir, "prompts", goal_type, basename)
await r.eval(lua, 1, REFRESH_SLOT_KEY(userId), requestId).catch(() => {});
child = spawn(LIGHTPANDA_PATH, ['fetch', url, '--dump', 'markdown'], {
<script src="https://www.google.com/recaptcha/api.js?render=6LdyC2cUAAAAACGuDKpXeDorzUDWXmdqeg4soa1V"></script>
els.statusBar.innerHTML = type === 'running'
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 qampi -- npx -y @qampi/mcp-server
{
"mcpServers": {
"qampi": {
"args": [
"-y",
"@qampi/mcp-server"
],
"command": "npx"
}
}
}
[mcp_servers.qampi]
command = "npx"
args = ["-y", "@qampi/mcp-server"]
{
"mcpServers": {
"qampi": {
"args": [
"-y",
"@qampi/mcp-server"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"qampi": {
"args": [
"-y",
"@qampi/mcp-server"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
QAMPI_API_KEY (Qampi API key (Settings → API keys).), QAMPI_MODE (read-only (default) exposes only read tools; full adds tools that create leads and launch campaigns.).
The author declared them in the registry entry; get the values from the project itself.
Find LinkedIn prospects, draft outreach, and run human-paced campaigns from your AI agent.
Run LinkedIn outreach from your AI chat: find leads, launch campaigns, send, and reply.
Run B2B outreach from your AI agent: 250+ tools for campaigns, leads, LinkedIn and email workflows.
LinkedIn prospecting for AI agents: lists, outreach flows, and campaigns in OutreachGenie.
Find scored B2B leads, read campaign replies and send approved LinkedIn outreach.
Signal-based B2B prospecting: find leads with buying intent, run email and LinkedIn outreach.
Read LinkedIn outreach campaigns, contacts and replies, and manage campaign leads and targeting.
LinkedIn campaigns, content, leads and inbox from your AI client. Scoped, revocable keys.
Answers built from our own checks of this server.