npm version License: MIT Website
Structured business data for AI agents - connect Claude, Cursor, and any MCP-compatible client to the Vexi API in 30 seconds.
Vexi is a structured business data API designed for AI agents. Instead of scraping and parsing raw HTML, your agent gets a clean, typed Agent Business Object (ABO) - a JSON document with identity, offerings, contact channels, trust signals, and quality metadata.
With one call, agents can discover businesses, fetch full records, and request fresh crawls when data is missing or stale.
- Node.js 18+
- A Vexi API key - get one free at https://getvexi.dev/signup
- Open your Claude Desktop MCP configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- Add or merge the
vexiserver entry undermcpServers. - Paste the following configuration (replace the API key with yours):
{
"mcpServers": {
"vexi": {
"command": "npx",
"args": ["-y", "@getvexi/mcp"],
"env": {
"VEXI_API_KEY": "vxi_live_..."
}
}
}
}Windows users: If
npxdoesn't work, use thecmdwrapper instead:{ "mcpServers": { "vexi": { "command": "cmd", "args": ["/C", "npx", "-y", "@getvexi/mcp"], "env": { "VEXI_API_KEY": "vxi_live_..." } } } }
- Save the file and fully quit Claude Desktop.
- Relaunch Claude Desktop - the vexi tools should appear in your MCP tools list.
- Open Cursor.
- Go to Settings > MCP.
- Add a new server:
- Command:
npx - Args:
-y,@getvexi/mcp - Env:
VEXI_API_KEY=vxi_live_...
- Save and restart Cursor.
Run the server via stdio:
npx -y @getvexi/mcpSet VEXI_API_KEY in the process environment before starting the client.
| Tool | Description |
|---|---|
search_businesses |
Search for businesses by query and location |
get_business |
Get a full ABO for a specific business by slug |
crawl_business |
Queue a new business for crawling |
list_categories |
List all available business categories |
User: Find the top 3 CRM platforms in the US.
Claude calls search_businesses:
{
"query": "CRM platform",
"location": "US",
"limit": "3"
}Claude: Here are three CRM platforms in the US:
| Business | Completeness |
|---|---|
| HubSpot | 0.94 |
| Salesforce | 0.97 |
| Pipedrive | 0.89 |
User: Give me full details on HubSpot.
Claude calls get_business:
{
"slug": "hubspot"
}Claude: Returns the full ABO for HubSpot - identity, offerings, contact channels, trust signals, operations, agent interface hints, and quality metadata in one structured document.
Every business is returned as an Agent Business Object with eight top-level sections:
{
"identity": {
"id": "biz_hubspot",
"name": "HubSpot",
"slug": "hubspot"
},
"offerings": {
"products": ["CRM", "Marketing Hub", "Sales Hub"],
"price_range": "$$"
},
"location": {
"headquarters": "Cambridge, MA",
"country": "US"
},
"contact": {
"website": "https://hubspot.com",
"email": "support@hubspot.com"
},
"trust": {
"rating": 4.5,
"review_count": 12000
},
"operations": {
"founded_year": 2006,
"employee_range": "5000+"
},
"agent_interface": {
"summary": "Inbound marketing and CRM platform for SMBs and enterprises",
"suggested_queries": ["Compare pricing tiers", "List integrations"]
},
"quality": {
"completeness_score": 0.94,
"last_updated": "2026-05-28T12:00:00Z"
}
}Sign up at https://getvexi.dev/signup.
Start free with 500 credits - no credit card required.
- Website: https://getvexi.dev
- API Docs: https://getvexi.dev/docs
- Dashboard: https://getvexi.dev/dashboard
- npm: https://www.npmjs.com/package/@getvexi/mcp
MIT