Integrator MCP Server (legacy)

@boostspace

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

boostspace

关于 Integrator MCP Server

Integrator MCP Server

#integrator#mcp #server #automation #ai

Integrator MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "integrator": {
      "command": "npx",
      "args": [
        "-y",
        "@boostspace/integrator-mcp-server"
      ],
      "env": {
        "INTEGRATOR_API_KEY": "<your-api-key>",
        "INTEGRATOR_TEAM": "<your-team-id>"
      }
    }
  }
}

Integrator MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Integrator MCP Server (legacy)?

A Model Context Protocol server that enables Integrator scenarios to be utilized as tools by AI assistants. This integration allows AI systems to trigger and interact with your Integrator automation workflows.

How to use Integrator MCP Server (legacy)?

Install via npx and configure the environment variables INTEGRATOR_API_KEY and INTEGRATOR_TEAM in your MCP client settings (e.g., claude_desktop_config.json). The server then connects to your Integrator account and exposes on-demand scenarios as callable tools.

Key features of Integrator MCP Server (legacy)

Connects to Integrator and identifies "On-Demand" scenarios.
Parses and resolves input parameters with meaningful descriptions.
Allows AI assistants to invoke scenarios with correct parameters.
Returns scenario output as structured JSON.
Turns automation workflows into callable AI tools.

Use cases of Integrator MCP Server (legacy)

Trigger Integrator workflows directly from an AI assistant via natural language.
Expose complex, multi-step automations to AI systems without rewriting logic.
Enable bidirectional communication between AI assistants and existing automation pipelines.
Automate data processing or integration tasks by invoking Integrator scenarios from AI conversations.

常见问题

Which scenarios can be used with this server?

Only scenarios configured with "On-Demand" scheduling are detected and exposed as tools.

What are the prerequisites for running the server?

You need NodeJS, an MCP client (such as the Claude Desktop App), and an Integrator API Key with the `scenarios:read` and `scenarios:run` scopes.

How do I obtain an API key and team ID?

Generate an API key in your Integrator profile. Find the team ID in the URL of your Team page.

What is the origin of this project?

This server is a fork of software originally developed by Make (MIT licensed). It has been modified and is maintained by Boost.space.

Does the server store any data locally?

The server acts as a proxy between the MCP client and the Integrator API; no local storage of scenario data is described in the README.

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