Atomic Crm MCP
This is an MCP server designed for Atomic CRM that allows AI assistants to securely read and write data from CRM instances through secure OAuth 2.1 authentication and SQL query tools, and automatically enforces row-level security policies.
rating : 2.5 points
downloads : 5.6K
What is the Atomic CRM MCP Server?
The Atomic CRM MCP Server is a bridge connecting AI assistants to Atomic CRM. It allows you to directly query and manipulate your CRM data in AI tools such as ChatGPT and Claude without leaving the conversation interface. The server uses secure OAuth authentication to ensure that only authorized users can access the data.How to use the Atomic CRM MCP Server?
The usage process is divided into three main steps: 1) Set up the MCP server (locally or hosted); 2) Add the server connection in supported AI clients; 3) Authorize access through OAuth authentication. After authentication, you can directly query CRM data in AI conversations.Applicable scenarios
It is suitable for scenarios that require quick querying of customer information, analysis of sales data, updating of contact records, etc. For example, you can ask the AI assistant: 'Find me the customers whose sales exceeded $10,000 last month', or 'Update Zhang San's contact phone number'.Main features
Secure OAuth 2.1 authentication
Use the enterprise-level OAuth authentication provided by Supabase to ensure that only authorized users can access CRM data. The authentication process complies with the latest security standards.
SQL query execution
Execute SQL queries directly through the AI assistant, supporting complex queries including JOIN operations to flexibly obtain the required data.
Row-level security protection
All queries automatically apply row-level security policies to ensure that users can only access the data they have permission to access.
Multi-client support
Supports multiple AI clients such as ChatGPT, Claude, and VS Code, covering desktop and mobile usage scenarios.
Database schema query
Provides tools to obtain the database schema to help the AI assistant understand the data structure and generate accurate query statements.
Advantages
Seamless integration: Directly operate CRM data in AI conversations without switching applications
Enterprise-level security: OAuth 2.1 authentication and row-level security protection ensure data security
Flexible query: Supports complex SQL queries to meet various data analysis needs
Multi-platform support: Compatible with mainstream AI assistants and development tools
Easy to deploy: Provides both local and hosted deployment methods
Limitations
Requires a paid AI account: Both ChatGPT and Claude require a paid account to use the custom connector
Technical dependency: Requires Supabase as the backend infrastructure
Deployment complexity: Local deployment requires tools such as ngrok
Network requirements: The hosted server must support IPv6 connections
Learning curve: Non-technical users may need help to complete the initial setup
How to use
Environment preparation
Clone the code repository, install dependencies, and configure the environment variable file.
Supabase configuration
Enable the OAuth 2.1 server in the Supabase console, configure the JWT signing key, and obtain database connection information.
Server deployment
Choose local deployment (using ngrok) or hosted deployment to a server that supports IPv6.
Client connection
Add the MCP server connection in ChatGPT, Claude, or VS Code, and authorize access using OAuth authentication.
Start using
After successful authentication, you can query and manipulate CRM data in AI conversations.
Usage examples
Customer data analysis
The sales manager needs to quickly understand the performance of customers this quarter and queries relevant data through the AI assistant.
Contact information update
The customer service staff needs to update the contact information of customers and completes it through natural language instructions.
Sales report generation
The management needs a monthly sales report and aggregates data through the AI assistant.
Frequently Asked Questions
Why does the connection to the MCP server fail?
What should I do if the database connection fails?
What is the reason for the query being denied access?
Which AI clients are supported?
Is a paid account required?
Related resources
MCP Protocol Specification
Official documentation and specification of the Model Context Protocol
MCP Authorization Guide
Guide to implementing MCP security authorization
Supabase OAuth Server
Configuration documentation for the Supabase OAuth server
Atomic CRM
Official website of Atomic CRM
GitHub Repository
Project source code and latest updates

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