# mcp-clay-to-instantly-smartlead-push

> mcp-clay-to-instantly-smartlead-push — mambalabsdev-mcp-clay-to-instantly-smartlead-push. Use this tool when you need to automate lead enrichment and push qualified leads into Instantly or Smartlead campaigns. It solves problems of lead duplication and inefficient campaign targeting by providing ICP score gating, deduplication, and dry-run previews. The tool accepts input leads and outputs enriched leads via an Apify actor interface, ideal for use cases requiring precise lead qualification and campaign optimization.

Canonical page: https://skillsregistry.net/skills/mambalabsdev-mcp-clay-to-instantly-smartlead-push  
JSON: https://api.skillsregistry.net/v1/skills/mambalabsdev-mcp-clay-to-instantly-smartlead-push

## Description

Enables pushing enriched leads into Instantly or Smartlead campaigns with ICP score gating, deduplication, and dry-run previews via an Apify actor.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dotuyzos6c)
- **Repository:** <https://github.com/mambalabsdev/mcp-clay-to-instantly-smartlead-push>

## 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": "mambalabsdev-mcp-clay-to-instantly-smartlead-push"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mambalabsdev-mcp-clay-to-instantly-smartlead-push` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mambalabsdev-mcp-clay-to-instantly-smartlead-push/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
