# local-leads-mcp

> local-leads-mcp — raffaele86-local-leads-mcp. Use this tool when you need to identify local businesses that lack a website or have a low-quality online presence. It solves problems related to lead generation and verification for web development services by analyzing OpenStreetMap data and checking website existence, email deliverability, and site quality. The tool takes location-based data as input and outputs a list of verified leads with relevant information.

Canonical page: https://skillsregistry.net/skills/raffaele86-local-leads-mcp  
JSON: https://api.skillsregistry.net/v1/skills/raffaele86-local-leads-mcp

## Description

Discovers local businesses needing a website via OpenStreetMap and verifies their leads with checks like website existence, email deliverability, and site quality scoring.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a9fcwfzf9a)
- **Repository:** <https://github.com/Raffaele86/local-leads-mcp>

## Use it

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": "raffaele86-local-leads-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raffaele86-local-leads-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raffaele86-local-leads-mcp/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