# ai.buyersense/buyersense

> Use this tool when you need to integrate buyer signals into your application, solving problems such as lead qualification and customer intent analysis. It takes in MCP client data as input and outputs buyer signals through the BuyerSense API. Ideal for use cases requiring real-time buyer insights, such as sales automation and marketing optimization.

Canonical page: https://skillsregistry.net/skills/ai-buyersense-buyersense  
JSON: https://api.skillsregistry.net/v1/skills/ai-buyersense-buyersense

## Description

MCP server for the BuyerSense API. Get buyer signals from any MCP client.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.buyersense%2Fbuyersense)

## Use it

MCP endpoint published by the skill: `https://mcp.buyersense.ai/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-buyersense-buyersense"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-buyersense-buyersense` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-buyersense-buyersense/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt