Cloud MCP Calculator

Cloud MCP Calculator

A cloud-deployable math tool server that provides calculator capabilities to local LLM agents via the Model Context Protocol and Server-Sent Events. It allows instructors to host a centralized calculation engine that students can connect to from their local development environments.

Category
Visit Server

README

Cloud MCP Calculator: Student & Instructor Guide

This repository contains a cloud-deployable math tool server using the Model Context Protocol (MCP) via Server-Sent Events (SSE). This architecture allows students to connect their local local LLM agents (via VS Code Continue) to a centralized, instructor-managed tool.

Distributed Architecture

The following diagram shows how the system is distributed between the instructor's cloud infrastructure and the students' local machines.

graph TB
    subgraph "Cloud Infrastructure (Instructor)"
        VM[Cloud Virtual Machine]
        Docker[Docker Container]
        Uvicorn[Uvicorn / SSE Server]
        CalcTool[Calculator Logic]
        
        VM --> Docker
        Docker --> Uvicorn
        Uvicorn --> CalcTool
    end

    subgraph "Student Machine"
        VSCode[VS Code + Continue]
        LLM[Local LLM / Ollama]
        NB[01_math_agent.ipynb]
    end

    VSCode -- "HTTP-SSE / Port 8080" --> Uvicorn
    NB -- "Standard Logic" --> OpenAI[OpenAI / API]

Protocol Interaction Flow

When a student asks a math question, the following exchange occurs via the SSE protocol:

sequenceDiagram
    participant S as Student (VS Code)
    participant C as Cloud server (VM)
    participant T as Calculator Tool

    S->>C: GET /sse (Connect)
    C-->>S: SSE Stream Opened
    S->>C: POST /sse?sessionId=... (Initialize)
    C-->>S: JSON-RPC (Capabilites & ServerInfo)
    S->>C: POST /sse (tools/call: calculate)
    C->>T: eval(expression)
    T-->>C: Result (e.g., "42")
    C-->>S: JSON-RPC Result
    S->>S: Display "The answer is 42."

Student Setup (config.yaml)

To connect to the cloud tool, update your ~/.continue/config.yaml as follows:

mcpServers:
  - name: cloud-calc
    type: sse
    url: http://<YOUR-VM-PUBLIC-IP>:8080/sse

experimental:
  autoExecuteTools: true

Instructor Setup (Makefile)

Use the provided Makefile on your VM to manage the service easily:

Command Action
make build Builds the mcp-calculator Docker image.
make run Starts the server in background (detached) on port 8080.
make logs Follows the live server logs (useful for debugging student connections).
make stop Gracefully stops and removes the running container.

VM Security Note:

Ensure your VM's Cloud Firewall (Security Group) allows Inbound TCP traffic on Port 8080.

Debug:

curl -v http://YOUR-VM-PUBLIC-IP>:8080/sse

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured