Using Linkly AI in Kimi Code

What You Can Do

Answer questions from your own materials, not the model's memory

Kimi Code calls Linkly AI’s search tool to find the relevant documents on your computer, then read to pull in the exact sections — so the answer is grounded in your notes, specs, and reports instead of general knowledge.

Go from search to outline to full text, layer by layer

Use search to locate candidates, outline to see a long document’s structure, and read to page through only the sections that matter. Long reports get handled without flooding the context window.

Prerequisites

Kimi Code CLI installed (requires Node.js 22.19.0 or later)
Linkly AI Desktop running with the MCP service active

This guide covers Kimi Code CLI. The Kimi Work desktop app currently offers only a curated plugin center and has no entry point for adding your own MCP servers, so Linkly AI cannot be connected there yet.

Configuration Steps

Kimi Code reads MCP servers from mcp.json:

User scope: ~/.kimi-code/mcp.json
Project scope: .kimi-code/mcp.json in your project root

Local MCP HTTP (Recommended)
Remote MCP
CLI Stdio (Fallback)

Add the following to ~/.kimi-code/mcp.json:

{
  "mcpServers": {
    "linkly-ai": {
      "url": "http://127.0.0.1:60606/mcp"
    }
  }
}

An entry with a url field and no transport is treated as an HTTP server.

Complete remote access configuration first, with the desktop tunnel showing ● Connected.Add the following to ~/.kimi-code/mcp.json:

{
  "mcpServers": {
    "linkly-ai": {
      "url": "https://mcp.linkly.ai/mcp",
      "headers": {
        "Authorization": "Bearer <your API Key>"
      }
    }
  }
}

Your API Key is created on the Linkly AI dashboard and starts with lkai_.

Install Linkly AI CLI first, then add the following to ~/.kimi-code/mcp.json:

{
  "mcpServers": {
    "linkly-ai": {
      "command": "linkly",
      "args": ["mcp"]
    }
  }
}

An entry with a command field is treated as a stdio server.

You can also run /mcp-config inside the Kimi Code TUI to add, edit, or delete servers interactively instead of editing the JSON file by hand.

Install Skills

Kimi Code scans ~/.agents/skills/ for Agent Skills, so you can install Linkly AI Skills to teach the agent how to use these tools efficiently:

git clone https://github.com/LinklyAI/linkly-ai-skills.git ~/.agents/skills/linkly-ai

Invoke it with /skill:linkly-ai. See Using Skills for other installation methods.

Verify the Connection

Run /mcp in the Kimi Code TUI to check the connection status — linkly-ai should be listed as connected along with its tools. Then try a prompt:

Search my documents for content about project design

If configured correctly, Kimi Code will call Linkly AI’s search tool and return the results.

FAQ

`kimi mcp add` reports an unknown command

That syntax belongs to the older kimi-cli, which is being phased out. Kimi Code CLI has no mcp subcommand — configure servers through /mcp-config in the TUI or by editing mcp.json directly.

HTTP method connection failed

Check whether Linkly AI Desktop is running and whether the MCP service is active. You can run curl http://127.0.0.1:60606/mcp in a terminal to test connectivity.

The server is listed but its tools never get called

Confirm the entry does not carry "enabled": false, and that no disabledTools list is filtering out the Linkly AI tools. Installing Linkly AI Skills also makes the agent far more likely to reach for these tools.

Stdio method says it cannot find the linkly command

Make sure you have installed Linkly AI CLI and that the linkly command is available in your PATH. Verify with linkly --version.

AI Assistants

Coding AI Agents

AI Workflows

Other

Using Linkly AI in Kimi Code

What You Can Do

Prerequisites

Configuration Steps

Install Skills

Verify the Connection

FAQ

​What You Can Do

​Prerequisites

​Configuration Steps

​Install Skills

​Verify the Connection

​FAQ

What You Can Do

Prerequisites

Configuration Steps

Install Skills

Verify the Connection

FAQ