@airframeai/mcp-client
v1.2.1
Published
Airframe MCP Client - Connect agents to Airframe's product intelligence
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Airframe MCP Client
Connect AI agents to Airframe's product intelligence and expert network using the Model Context Protocol (MCP).
Features
- Product Search: Find software products by keyword, category, or department
- Product Details: Deep dive into specific products with comprehensive data
- Product Comparison: Side-by-side comparison of 2-5 products
- Category Browser: Explore Airframe's software category taxonomy
- Expert Network: Discover practitioners with specific product expertise
- AI Intelligence: Ask complex questions powered by Airframe's market research
Prerequisites
- Node.js 18+ (includes native fetch support)
- MCP-compatible AI agent (Claude Desktop, Claude Code, etc.)
- Airframe API key (get one at airframe.ai/account/api-keys)
Installation
Option 1: Using npx (Recommended)
No installation needed! Configure your MCP client to use npx.
For example, in your MCP configuration:
{
"mcpServers": {
"airframe": {
"command": "npx",
"args": [
"-y",
"@airframe/mcp-client",
"--api-key",
"YOUR_API_KEY_HERE"
]
}
}
}Option 2: Global Installation
npm install -g @airframe/mcp-clientThen configure Claude Desktop:
{
"mcpServers": {
"airframe": {
"command": "airframe-mcp",
"args": ["--api-key", "YOUR_API_KEY_HERE"]
}
}
}Option 3: Standalone Script
Download the bundled script from the releases page and run directly with Node:
{
"mcpServers": {
"airframe": {
"command": "node",
"args": [
"/path/to/airframe-mcp-client.js",
"--api-key",
"YOUR_API_KEY_HERE"
]
}
}
}Configuration Options
--api-key: Your Airframe API key (required, starts withaf_)--server-url: MCP server URL (optional, defaults tohttps://mcp.airframe.ai/mcp)
Usage
After configuring Claude Desktop, restart the application. You can then use Airframe tools in your conversations:
> Search for CRM products and show me the top 3
> Compare Salesforce vs HubSpot
> Find experts who use Figma
> What are the best project management tools for remote teams?Available Tools
search_products- Find software products by keyword, category, or departmentget_product_details- Deep dive on a specific product (use its slug)compare_products- Side-by-side comparison of 2-5 productsbrowse_categories- Explore Airframe's software category taxonomyfind_experts- Discover practitioners with specific product expertiseask_airframe- AI-powered market intelligence for complex questions
Troubleshooting
Check Node Version
node --version # Should be 18 or higherView Claude Desktop Logs
macOS: ~/Library/Logs/Claude/mcp-server-airframe.log
Windows: %LOCALAPPDATA%\Claude\Logs\mcp-server-airframe.log
Test the Client Manually
# Using npx
npx -y @airframeai/mcp-client --api-key YOUR_API_KEY --help
# Or after global install
airframe-mcp --api-key YOUR_API_KEY --helpCommon Issues
"Command not found": Make sure Node.js 18+ is installed and in your PATH
"Invalid API key": Verify your API key starts with af_ and is active at airframe.ai/account/api-keys
Windows npx issues: On Windows, you may need to use cmd wrapper:
{
"command": "cmd",
"args": ["/c", "npx", "-y", "@airframe/mcp-client", "--api-key", "YOUR_API_KEY"]
}Development
# Install dependencies
npm install
# Build TypeScript
npm run build
# Create standalone bundle
npm run bundleSupport
- Email: [email protected]
License
MIT
