Hecom OpenAPI MCP Server

Overview

The 红圈CRM+ OpenApi MCP Server bridges the gap between AI assistants and the Hecom CRM platform by exposing a set of well‑defined MCP endpoints that let agents query, create, and update customer records directly from natural language conversations. For developers building conversational agents that need real‑time access to CRM data, this server removes the friction of manual API integration and authentication, enabling a seamless flow of information between the assistant and Hecom’s backend.

At its core, the MCP server implements a lightweight Node.js runtime that listens for incoming MCP requests. It authenticates using Hecom’s OAuth‑style credentials (, ) and a user phone number, then forwards those calls to the Hecom OpenAPI. The server translates standard MCP verbs—resources, tools, and prompts—into the corresponding Hecom API endpoints. For example, a resource request can retrieve a customer’s contact history, while a tool call can create a new lead or update an account. By mapping these operations to the familiar MCP contract, developers can invoke complex CRM actions with a single line of natural language.

Key capabilities include:

• Secure credential handling through environment variables, ensuring that sensitive keys never leave the server’s process.
• Dynamic endpoint discovery: the MCP client can query the server for available resources and tools, receiving a concise JSON schema that describes input parameters and expected outputs.
• Support for pagination and filtering via the underlying Hecom API, allowing agents to fetch large datasets without overloading the conversation.
• Extensible prompt templates that let developers embed domain‑specific logic or formatting into the assistant’s responses.

Typical use cases span sales, support, and marketing workflows. A sales agent might ask the assistant to “show me all opportunities for client X,” and the MCP server will retrieve the data from Hecom, returning it in a conversational format. In customer support, an agent could instruct the assistant to “create a new ticket for user Y with priority high,” and the server will translate that into an API call that updates Hecom’s ticketing system. Marketing teams can use the same interface to pull campaign performance metrics or update lead scores, all without leaving the chat environment.

The server’s design emphasizes integration simplicity. Developers only need to add a single entry in the MCP client configuration, pointing to the compiled JavaScript file and providing the required environment variables. Once registered, the client automatically discovers the server’s capabilities, allowing agents to invoke them through natural language without any additional coding. This plug‑and‑play model accelerates development cycles and ensures that AI assistants remain tightly coupled with up‑to‑date CRM data.