
OpenComment AI
io.github.02infv1.0.0Updated Oct 2, 2026
Research saved LinkedIn contacts, review monitored activity, and prepare engagement campaigns.
Overview
AI-generated overview
Lets an assistant research saved LinkedIn contacts, review monitored activity, and prepare engagement campaigns.
- What it does
- OpenComment AI is a remote MCP server for LinkedIn contact work. According to its registry description, it lets an assistant research saved contacts, review monitored activity, and prepare engagement campaigns. No individual tools are listed in the manifest, so the exact operations are not documented here.
- When to use it
- Worth considering when you already keep LinkedIn contacts in this service and want an assistant to help research them, review monitored activity, or draft engagement campaigns. It is less useful if you do not use this platform or need documented tool-level detail before installing.
- Requirements
- Runs as a remote streamable HTTP endpoint at mcp.opencomment.ai; nothing local to install. The manifest declares no authentication, no environment variables, and no headers, and no packages are listed. Network access to the endpoint is required.
Before you install
The manifest declares no authentication, so anyone who can reach the endpoint may be able to use it; confirm how access is actually controlled before connecting. The description mentions monitored activity and engagement campaigns, which suggests contact data may be read and campaign actions prepared or sent. No credentials, payments, or write behavior are documented in the supplied material.
Installation
In SourceWeft
- Open OpenComment AI in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"opencomment-ai": {
"type": "http",
"url": "https://mcp.opencomment.ai/mcp"
}
}
}Tools
0Tool metadata has not been indexed yet.
Version history
1- v1.0.0LatestOct 2, 2026
