# speed-to-lead-agent

> Use this tool when you need to rapidly respond to incoming leads and qualify them in real-time. The speed-to-lead-agent solves the problem of delayed lead response, increasing the chances of conversion by utilizing a multi-agent AI pipeline to process and react to leads within seconds. It takes inbound leads as input and outputs qualified leads with corresponding responses, ideal for use in high-volume sales and marketing environments.

Canonical page: https://skillsregistry.net/skills/omatelabs-speed-to-lead-agent  
JSON: https://api.skillsregistry.net/v1/skills/omatelabs-speed-to-lead-agent

## Description

MCP server for qualifying and responding to inbound leads in seconds using a multi-agent AI pipeline.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lyi65aqoo4)
- **Repository:** <https://github.com/OmateLabs/speed-to-lead-agent>

## 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": "omatelabs-speed-to-lead-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/omatelabs-speed-to-lead-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/omatelabs-speed-to-lead-agent/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