amoCRM MCP Server
MCP server for amoCRM integration, enabling AI assistants to manage leads, contacts, companies, tasks, and more via natural language.
README
amoCRM MCP Server
MCP (Model Context Protocol) server for amoCRM integration with Claude Desktop and other AI assistants.
Features
- Leads -- list, get, create, update
- Contacts -- list, get, create
- Companies -- list, get, create
- Tasks -- list, create
- Pipelines -- list pipelines and stages
- Users -- list account users
- Notes -- add and read notes on any entity
- Account -- get account info
Prerequisites
- Python 3.10+
- amoCRM account with API access
- Long-lived token from amoCRM integration settings
Installation
git clone https://github.com/DocAtWork2026/amocrm-mcp.git
cd amocrm-mcp
pip install -r requirements.txt
Configuration
- Copy
.env.exampleto.envand fill in your credentials:
cp .env.example .env
AMOCRM_DOMAIN=your_subdomain
AMOCRM_TOKEN=your_long_lived_token
AMOCRM_DOMAIN-- your amoCRM subdomain (e.g. if your URL ishttps://mycompany.amocrm.ru, the domain ismycompany)AMOCRM_TOKEN-- long-lived API token from your amoCRM integration settings
Getting the token
- Go to amoCRM Settings -> amoMarket
- Click the three dots menu -> Create integration
- Choose "External integration", set name and redirect URI (
https://localhost) - Save, then install the integration
- Open the integration -> "Keys and access" tab
- Click "Generate token" under "Long-lived token"
- Copy the token
Claude Desktop Setup
Add this to your claude_desktop_config.json:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"amocrm": {
"command": "python",
"args": ["C:/path/to/amocrm-mcp/server.py"],
"env": {
"AMOCRM_DOMAIN": "your_subdomain",
"AMOCRM_TOKEN": "your_long_lived_token"
}
}
}
}
Restart Claude Desktop after updating the config.
Available Tools
| Tool | Description |
|---|---|
get_account_info |
Get amoCRM account info |
get_leads |
List leads (with search) |
get_lead |
Get lead details by ID |
create_lead |
Create a new lead |
update_lead |
Update an existing lead |
get_contacts |
List contacts (with search) |
get_contact |
Get contact details by ID |
create_contact |
Create a new contact |
get_companies |
List companies (with search) |
get_company |
Get company details by ID |
create_company |
Create a new company |
get_tasks |
List tasks |
create_task |
Create a new task |
get_pipelines |
List pipelines and stages |
get_users |
List account users |
add_note |
Add a note to an entity |
get_notes |
Get notes for an entity |
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.