lgiuppone
MCP Serverlgiupponepublic

mcp auto tools ms

This Helm chart dynamically deploys an MCP server accessible remotely via Server-Sent Events (SSE). It allows you to integrate existing REST APIs from your application and publish them as tools within the MCP server, enabling easy discovery and interaction by intelligent agents or external clients.

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Python
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About This Server

This Helm chart dynamically deploys an MCP server accessible remotely via Server-Sent Events (SSE). It allows you to integrate existing REST APIs from your application and publish them as tools within the MCP server, enabling easy discovery and interaction by intelligent agents or external clients.

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

🧠 MCP Server Helm Chart

This Helm chart dynamically deploys an MCP (Model Context Protocol) server, accessible remotely via Server-Sent Events (SSE). It allows you to easily expose any existing REST API from your application as tools within the MCP environment, enabling intelligent agents or external clients to query and use them.


🚀 Features

  • Deploy an MCP server in a Kubernetes cluster
  • Enable remote interaction via SSE
  • Dynamically register and expose API endpoints as tools
  • Lightweight configuration via values.yaml
  • Compatible with FastAPI, Express, Flask, and any REST service

📦 Chart Structure

mcp-server/
├── Chart.yaml
├── values.yaml
└── templates/
    ├── deployment.yaml
    ├── service.yaml
    ├── ingressroute.yaml
    └── configmap.yaml

⚙️ Dynamic Configuration

You can define which APIs to expose directly in your values.yaml file using the config.tools section. Here's an example configuration:


config:
  tools: |
    tools:
      get_api_status:
        endpoint: https://api-users.dev.example.com/
        description: Get root message to verify the API is running.

      fetch_user_by_id:
        endpoint: https://api-users.dev.example.com/users/1
        description: Fetch a specific user by ID from the API.

      get_random_user:
        endpoint: https://api-users.dev.example.com/users/random
        description: Retrieve a randomly selected user (for testing/demo).

🔒 Make sure to replace *.dev.example.com with your actual domains.


🧪 Install the Chart

helm install mcp-server ./mcp-server \
  --values values.yaml

🔌 MCP Client Configuration

Once deployed, clients can connect to your MCP server using the following configuration:

{
  "mcp": {
    "servers": {
      "users-api": {
        "url": "https://mcp-server.dev.example.com/sse"
      }
    }
  }
}

🔁 The MCP server uses SSE (/sse) to stream messages in real-time.


🧹 Uninstall

helm uninstall mcp-server

🧠 About MCP

MCP (Model Context Protocol) is a lightweight interaction layer that enables intelligent agents or applications to access domain-specific tools using natural language interfaces or direct API querying.


📬 Questions / Contributions

Feel free to open an issue or submit a pull request. Contributions are welcome!

Quick Start

1

Clone the repository

git clone https://github.com/lgiuppone/mcp-auto-tools-ms
2

Install dependencies

cd mcp-auto-tools-ms
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerlgiuppone
Repomcp-auto-tools-ms
LanguagePython
License-
Last fetched8/10/2025

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