# amoCRM MCP Server

> Use this tool when you need to integrate and manage amoCRM data, such as leads, contacts, and tasks, and automate workflows through a comprehensive set of 36 tools. It solves problems related to entity lifecycle management, analytics, and bulk data operations, providing a streamlined interface for interacting with the amoCRM API v4. Ideal for use cases requiring secure OAuth 2.0 authentication and rate limiting.

Canonical page: https://skillsregistry.net/skills/caiborg-ai-amocrm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/caiborg-ai-amocrm-mcp

## Description

An MCP server that provides 36 tools for interacting with the amoCRM (Kommo) API v4, covering leads, contacts, companies, and tasks. It supports full entity lifecycles, account analytics, and bulk operations with integrated OAuth 2.0 and rate limiting.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z4syredw67)
- **Repository:** <https://github.com/cAIborg-ai/amocrm-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": "caiborg-ai-amocrm-mcp"
    }
  }
}
```

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