KEIRO MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@KEIRO MCP ServerSearch for latest AI news"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
What is this?
This is the official Model Context Protocol (MCP) server for the KEIRO API, written in Python. It enables AI assistants like Claude to search the web, conduct deep research, extract web content, and get AI-powered answers—all in real-time.
Related MCP server: The Web MCP
Installation
Using pip
pip install keiro-mcpUsing uv (recommended)
uv add keiro-mcpFrom source
# Clone the repository
git clone https://github.com/keiro-labs/keiro-mcp-python.git
cd keiro-mcp-python
# Install with pip
pip install -e .
# Or with uv
uv pip install -e .Configuration
1. Get your API Key
Sign up at keiro.dev and get your API key from the dashboard.
2. Configure Claude Desktop
Add to your Claude Desktop config file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"keiro": {
"command": "keiro-mcp",
"env": {
"KEIRO_API_KEY": "your_api_key_here"
}
}
}
}Alternative using Python module:
{
"mcpServers": {
"keiro": {
"command": "python",
"args": ["-m", "keiro_mcp"],
"env": {
"KEIRO_API_KEY": "your_api_key_here"
}
}
}
}3. Restart Claude Desktop
The KEIRO tools will now be available in Claude.
Tools
Tool | Description |
| Fast web search with AI-optimized results |
| Enhanced search with metadata and related queries |
| Deep research with summary and key points |
| Comprehensive research with analysis and sources |
| Direct AI-powered answers with citations |
| Extract content from any web page |
Examples
Once configured, you can ask Claude things like:
"Search for the latest developments in quantum computing"
"Research the impact of AI on healthcare in 2024"
"What are the key features of the new iPhone?"
"Extract the main content from https://example.com/article"
Claude will use the appropriate KEIRO tool to fetch real-time information.
Environment Variables
Variable | Required | Description |
| Yes | Your KEIRO API key |
| No | Custom API URL (default: production) |
Development
# Clone and install in development mode
git clone https://github.com/keiro-labs/keiro-mcp-python.git
cd keiro-mcp-python
pip install -e ".[dev]"
# Run type checking
mypy src
# Run linting
ruff check src
# Run tests
pytestAPI Reference
This MCP server uses the following KEIRO API endpoints:
POST /search- Basic searchPOST /search-pro- Advanced searchPOST /research- Topic researchPOST /research-pro- Deep researchPOST /answer- AI answersPOST /web-crawler- Page extraction
Full API documentation: keiro.dev/docs
License
MIT © KEIRO
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