Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-pubnub-mcp-server": {
"args": [
"-y",
"@pubnub/mcp"
],
"command": "npx"
}
}
}Are you the author?
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This repository provides a CLI-based Model Context Protocol (MCP) server that exposes PubNub SDK documentation and PubNub API resources to LLM-powered tools. This improves the LLM AI Agent's ability to understand and interact with PubNub's SDKs and APIs.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@pubnub/mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
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A hosted Model Context Protocol (MCP) server that exposes PubNub SDK documentation and PubNub API resources to LLM-powered tools. This improves the LLM AI Agent's ability to understand and interact with PubNub's SDKs and APIs. Uses HTTP transport with OAuth authentication.

The hosted server is managed by PubNub and provides the easiest way to get started — no installation required, and authentication is handled automatically via OAuth. If your AI tool doesn't support remote MCP servers, use the locally installed version (npx @pubnub/mcp@latest) instead.
Note: To switch to the hosted server (https://mcp.pubnub.com), remove the old local configuration from your AI client first, then follow the setup steps below.
Connect your AI assistant to https://mcp.pubnub.com — no installation required. Authentication is handled automatically via OAuth.
Click the button above, then select Open in Visual Studio Code. Back in VS Code, click Install, then select the organization you want to authorize and click Allow access.
Alternatively, add the following to your VS Code settings.json manually:
{
"mcp": {
"servers": {
"pubnub": {
"url": "https://mcp.pubnub.com"
}
}
}
}
Learn more in VS Code documentation
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