iflow-mcp_kagisearch-kagimcp 0.1.4
Kagi MCP server
Requires Python: >=3.11

# Kagi MCP server

[![smithery badge](https://smithery.ai/badge/kagimcp)](https://smithery.ai/server/kagimcp)

<a href="https://glama.ai/mcp/servers/xabrrs4bka">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/xabrrs4bka/badge" alt="Kagi Server MCP server" />
</a>

## Setup Intructions
> Before anything, unless you are just using non-search tools, ensure you have access to the search API. It is currently in closed beta and available upon request. Please reach out to support@kagi.com for an invite.

Install uv first.

MacOS/Linux:
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```

Windows:
```
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
```
### Installing via Smithery

Alternatively, you can install Kagi for Claude Desktop via [Smithery](https://smithery.ai/server/kagimcp):

```bash
npx -y @smithery/cli install kagimcp --client claude
```

### Setup with OpenAI
#### Codex CLI
To add the Kagi mcp server to [codex cli](https://developers.openai.com/codex/cli/), you will need to use the following command:

```bash
codex mcp add kagi --env KAGI_API_KEY=<YOUR_API_KEY_HERE> -- uvx kagimcp
```

This will write out the configuration to `~/.codex/config.toml`, so if you need to update/rotate your API key, update your key there before running `codex` again.

Codex CLI comes with its own built-in search (via `--search` flag), but it is disabled by default. So to deconflict between search and Kagi, just don't enable it.

### Setup with Claude
#### Claude Desktop
```json
// claude_desktop_config.json
// Can find location through:
// Hamburger Menu -> File -> Settings -> Developer -> Edit Config
{
  "mcpServers": {
    "kagi": {
      "command": "uvx",
      "args": ["kagimcp"],
      "env": {
        "KAGI_API_KEY": "YOUR_API_KEY_HERE",
        "KAGI_SUMMARIZER_ENGINE": "YOUR_ENGINE_CHOICE_HERE" // Defaults to "cecil" engine if env var not present
      }
    }
  }
}
```
#### Claude Code
Add the Kagi mcp server with the following command (setting summarizer engine optional):

```bash
claude mcp add kagi -e KAGI_API_KEY="YOUR_API_KEY_HERE" KAGI_SUMMARIZER_ENGINE="YOUR_ENGINE_CHOICE_HERE" -- uvx kagimcp
```

Now claude code can use the Kagi mcp server. However, claude code comes with its own web search functionality by default, which may conflict with Kagi. You can disable claude's web search functionality with the following in your claude code settings file (`~/.claude/settings.json`):

```json
{
  "permissions": {
    "deny": [
      "WebSearch"
    ]
  }
}
```

### Pose query that requires use of a tool
e.g. "Who was time's 2024 person of the year?" for search, or "summarize this video: https://www.youtube.com/watch?v=jNQXAC9IVRw" for summarizer.

### Debugging
Run:
```bash
npx @modelcontextprotocol/inspector uvx kagimcp
```

## Local/Dev Setup Instructions

### Clone repo
`git clone https://github.com/kagisearch/kagimcp.git`

### Install dependencies
Install uv first.

MacOS/Linux:
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```

Windows:
```
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
```

Then install MCP server dependencies:
```bash
cd kagimcp

# Create virtual environment and activate it
uv venv

source .venv/bin/activate # MacOS/Linux
# OR
.venv/Scripts/activate # Windows

# Install dependencies
uv sync
```
### Setup with Claude Desktop

#### Using MCP CLI SDK
```bash
# `pip install mcp[cli]` if you haven't
mcp install /ABSOLUTE/PATH/TO/PARENT/FOLDER/kagimcp/src/kagimcp/server.py -v "KAGI_API_KEY=API_KEY_HERE"
```

#### Manually
```json
# claude_desktop_config.json
# Can find location through:
# Hamburger Menu -> File -> Settings -> Developer -> Edit Config
{
  "mcpServers": {
    "kagi": {
      "command": "uv",
      "args": [
        "--directory",
        "/ABSOLUTE/PATH/TO/PARENT/FOLDER/kagimcp",
        "run",
        "kagimcp"
      ],
      "env": {
        "KAGI_API_KEY": "YOUR_API_KEY_HERE",
        "KAGI_SUMMARIZER_ENGINE": "YOUR_ENGINE_CHOICE_HERE" // Defaults to "cecil" engine if env var not present
      }
    }
  }
}
```

### Pose query that requires use of a tool
e.g. "Who was time's 2024 person of the year?" for search, or "summarize this video: https://www.youtube.com/watch?v=jNQXAC9IVRw" for summarizer.

### Debugging
Run:
```bash
# If mcp cli installed (`pip install mcp[cli]`)
mcp dev /ABSOLUTE/PATH/TO/PARENT/FOLDER/kagimcp/src/kagimcp/server.py

# If not
npx @modelcontextprotocol/inspector \
      uv \
      --directory /ABSOLUTE/PATH/TO/PARENT/FOLDER/kagimcp \
      run \
      kagimcp
```
Then access MCP Inspector at `http://localhost:5173`. You may need to add your Kagi API key in the environment variables in the inspector under `KAGI_API_KEY`.

# Advanced Configuration
- Level of logging is adjustable through the `FASTMCP_LOG_LEVEL` environment variable (e.g. `FASTMCP_LOG_LEVEL="ERROR"`)
  - Relevant issue: https://github.com/kagisearch/kagimcp/issues/4
- Summarizer engine can be customized using the `KAGI_SUMMARIZER_ENGINE` environment variable (e.g. `KAGI_SUMMARIZER_ENGINE="daphne"`)
  - Learn about the different summarization engines [here](https://help.kagi.com/kagi/api/summarizer.html#summarization-engines)
- The `--http` cli option can be used to toggle streamable HTTP transport on. Can use along with `--port` and `--host` args.