Integration App MCP Server

What does “Integration App” MCP Server do?

The Integration App MCP (Model Context Protocol) Server acts as a bridge between AI assistants and Integration App’s robust ecosystem of connections, data sources, and APIs. By exposing tools powered by Integration App through the MCP protocol, it allows AI clients to perform real-world tasks such as querying databases, managing files, or interacting with third-party APIs directly from their workflows. This server leverages active Integration App connections and delivers tool access via the SSE (Server-Sent Events) transport, making it suitable for enhancing developer productivity by automating and standardizing complex integrations. Its deployment and token-based access control ensure secure and scalable integration for development, testing, or production environments.

List of Prompts

No information about prompt templates is available in the repository.

List of Resources

No explicit information about MCP resources exposed by the server is documented in the repository.

List of Tools

• The server “fetches tools from all active connections associated with the provided token.”
  No concrete tool names or details are specified in the available documentation or code.

Use Cases of this MCP Server

• Integration with Third-Party APIs:
  Enables AI assistants to interact with various APIs supported by Integration App, automating workflows that span multiple services.

• Centralized Access to Connected Tools:
  Provides a unified interface for accessing tools linked to an Integration App account, facilitating development and rapid prototyping.

• Token-Based Access Control:
  Allows secure, user-specific access to tools and actions, which is valuable for multi-user or multi-tenant applications.

• Enhancing AI Workflows:
  Empowers LLMs and AI agents to use real-world data and trigger actions, making them more useful in business automation, support, and data processing.

How to set it up

Windsurf

No Windsurf-specific instructions are available.

Claude

1. Ensure you have an Integration App account and a valid token.

2. Anthropic only allows SSE MCP transports to Claude with MAX plan or higher.

3. Open Claude settings: Settings > Developer > Edit Config.

4. Add or update the mcpServers object:

   {
     "mcpServers": {
       "integration-app": {
         "url": "https://your-app-name.herokuapp.com/sse?token=YOUR_TOKEN"
       }
     }
   }
   

5. Save and restart Claude.

Cursor

1. Ensure Node.js (v14 or higher) and npm/yarn are installed.

2. Obtain a valid Integration App token.

3. Open (or create) ~/.cursor/mcp.json.

4. Add the Integration App MCP server:

   {
     "mcpServers": {
       "integration-app": {
         "url": "https://your-app-name.herokuapp.com/sse?token=YOUR_TOKEN"
       }
     }
   }
   

5. Restart Cursor.

Cline

No Cline-specific instructions are available.

Securing API Keys

Store secrets and tokens in environment variables. Example:

{
  "mcpServers": {
    "integration-app": {
      "url": "https://your-app-name.herokuapp.com/sse?token=${INTEGRATION_APP_TOKEN}"
    }
  }
}

Replace ${INTEGRATION_APP_TOKEN} with your environment variable.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "MCP-name": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “MCP-name” to whatever the actual name of your MCP server is (e.g., “integration-app”, “weather-api”, etc.) and replace the URL with your own MCP server URL.

Overview

My rating for this MCP server based on the above tables is 4/10. While the repository provides a clear overview and setup instructions for some platforms, it lacks documentation about prompt templates, resources, specific tools, sampling, and Roots support.

MCP Score