MCP Server - FastAPI on Azure App Service

Created By
madebygpsa year ago
FastAPI MCP server on Azure App Service
Overview

What is MCP Server?

MCP Server is a Python implementation of the Model Context Protocol (MCP) server using FastAPI, deployed on Azure App Service. It provides tools for multiplication, temperature conversion, and weather alerts.

How to use MCP Server?

To use MCP Server, you can either run it locally by setting up a virtual environment and starting the FastAPI server, or deploy it to Azure App Service and access it via the provided endpoints.

Key features of MCP Server?

  • Multiplication Tool: Multiply two numbers.
  • Temperature Converter: Convert between Celsius and Fahrenheit.
  • Weather Tools: Get US weather alerts by state and forecasts by coordinates.

Use cases of MCP Server?

  1. Performing quick arithmetic calculations.
  2. Converting temperature units for scientific applications.
  3. Accessing real-time weather information for specific locations.

FAQ from MCP Server?

  • Can I run MCP Server locally?

Yes! You can set it up locally using Python and FastAPI.

  • Is there any authentication required?

Currently, no authentication is implemented for the public endpoints.

  • How do I deploy MCP Server to Azure?

You can deploy it using the Azure Developer CLI after logging into your Azure account.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
madebygps
Star
0
Language
Python
License
MIT license

Recommend Servers

View All
Tavily Mcp
@tavily-ai

JavaScript
a year ago
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago