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Workflows MCP Server: Enterprise Automation & REST-MCP Integration - MCP Implementation

Workflows MCP Server: Enterprise Automation & REST-MCP Integration

Workflows MCP Server: Seamlessly bridge REST endpoints and MCP integrations with your workflow engine for enterprise-grade automation and scalability—no coding circus required.

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About Workflows MCP Server

What is Workflows MCP Server: Enterprise Automation & REST-MCP Integration?

Workflows MCP Server is a versatile tool orchestration framework designed to integrate enterprise automation with REST-based MCP (Model Context Protocol) communication. It enables developers to expose complex workflows as consumable tools for AI agents, leveraging both traditional REST APIs and the MCP protocol for advanced bidirectional interactions. The server’s core functionality revolves around a weather data workflow, demonstrating how to structure, process, and deliver contextualized information using machine learning models.

How to Use Workflows MCP Server: Enterprise Automation & REST-MCP Integration?

Utilizing the server involves two primary approaches:

  • REST API Integration: Deploy simplified endpoints for straightforward data retrieval, ideal for quick implementation in enterprise systems.
  • MCP Protocol Implementation: Establish full-featured bidirectional communication for dynamic workflows requiring real-time model updates and context management.

Deployment steps include configuring environment dependencies, selecting the appropriate protocol based on use-case complexity, and integrating tools like LLM models for contextual processing.

Workflows MCP Server Features

Key Features of Workflows MCP Server: Enterprise Automation & REST-MCP Integration?

Central features include:

  • Tool exposure framework enabling seamless integration of custom workflows.
  • Hybrid protocol support for both RESTful and MCP-based interactions.
  • Embedded machine learning model orchestration for intelligent context handling.
  • Robust error-handling mechanisms for production-grade reliability.
  • Fallback strategies using simplified APIs when MCP compatibility is limited.

Use Cases of Workflows MCP Server: Enterprise Automation & REST-MCP Integration?

Applications span across enterprise environments:

  • Automated customer support systems using context-aware weather alerts.
  • Real-time data processing pipelines integrating AI-driven decision-making.
  • Legacy system modernization through REST API gateways for MCP-capable services.
  • Dynamic workflow management for industries requiring adaptive context processing (e.g., logistics, healthcare).

Workflows MCP Server FAQ

FAQ from Workflows MCP Server: Enterprise Automation & REST-MCP Integration?

  • Q: What compatibility issues should I anticipate?
    A: The original MCP implementation may require specific dependency versions. Simplified REST APIs are recommended for legacy systems.
  • Q: How do I handle connection failures in MCP mode?
    A: Implement retry logic using exponential backoff and fall back to REST endpoints when persistent failures occur.
  • Q: Can the server scale for high-traffic scenarios?
    A: Yes, through horizontal scaling strategies and caching mechanisms for frequently accessed workflow components.
  • Q: Is LLM model integration mandatory?
    A: While the example uses LLMs for context processing, the framework supports any tool type via its modular architecture.

Content

Workflows MCP Server

This is a Model Context Protocol (MCP) server that provides weather information for cities through a simple API.

Features

  • This server exposes workflows as tools that can be consumed by agents. In this case a weather workflow is exposed as a set of tools:
    • Exposes a get-weather tool that fetches weather data for any city
    • Provides a check-weather prompt template for easy integration with LLMs
    • Uses HTTP/SSE transport for communication with clients

Workflow Architecture

Weather Workflow

When the get-weather tool is called, it triggers a workflow that:

  1. Takes the city name as input
  2. Queries the OpenWeatherMap service for current weather data at that location
  3. Passes the raw weather data to an LLM for interpretation
  4. Returns a friendly, natural language description of the current weather conditions

This architecture allows for both accurate weather data retrieval and intelligent processing to provide weather information in a more conversational and easily understood format.

Note on Current Implementation

Due to some technical challenges with the MCP protocol implementation, we've provided two approaches:

  1. Original MCP Server - The TypeScript implementation in the src directory, which may have some compatibility issues with current SDK versions.

  2. Simplified Direct API - A plain JavaScript implementation in the root directory (direct-server.js and direct-client.js) that provides a simple RESTful endpoint without using the MCP protocol.

For immediate functionality, we recommend using the simplified direct API approach.

Prerequisites

  • Node.js 18 or higher
  • npm or yarn

Installation

  1. Clone this repository

  2. Install dependencies:

    npm install

Usage - Simplified API Approach

  1. Start the server:

    node direct-server.js

  2. The server will start on port 3000 and provide:

* Weather API: `http://localhost:3000/api/weather?city=New%20York`
* Health check: `http://localhost:3000/health`
  1. Run the client example:

    node direct-client.js

Usage - MCP Approach

This approach requires building the TypeScript code and may have some compatibility issues:

  1. Build the project:

    npm run build

  2. Start the server:

    npm start

  3. The server will start on port 3000:

* SSE endpoint: `http://localhost:3000/sse`
* Messages endpoint: `http://localhost:3000/messages?connectionId=YOUR_CONNECTION_ID`
* Health check: `http://localhost:3000/health`

Understanding the Connection ID

The connection ID is a unique identifier assigned to each client session when connecting to the SSE endpoint. It serves as a crucial mechanism for maintaining bidirectional communication:

  • When a client connects to the /sse endpoint, the server generates a unique connection ID
  • This ID is returned to the client in the initial SSE response
  • The client must include this ID as a query parameter in all subsequent requests to the /messages endpoint
  • This allows the server to route responses back to the correct client's SSE connection

For example, if your connection ID is 1742761520489, you would make tool calls to:

http://localhost:3000/messages?connectionId=1742761520489

API Reference

Direct API

GET /api/weather

Fetches weather information for a specified city.

Parameters:

  • city (string): The name of the city to get weather for.

Returns:

  • JSON response with weather information.

MCP Tools

get-weather

Fetches weather information for a specified city.

Parameters:

  • city (string): The name of the city to get weather for.

Returns:

  • Weather information as text.

MCP Prompts

check-weather

A prompt template for asking an LLM to check and summarize weather information.

Parameters:

  • city (string): The name of the city to check weather for.

License

MIT

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