"Current Weather in Beijing" matching MCP servers:

Enables coding agents to answer from what is actually true in the current Terraform working directory: the provider schemas pinned in the lock file, saved plans, redacted state, and local or installed module interfaces. It also reports what a pinned provider upgrade would break, all read-only and without ever running init in the root module.

Enables LLMs to securely query and optionally write to ServiceNow instances with strict allowlist/denylist safety controls.

MCP Server for Tibber, a Norwegian power supplier. The Tibber MCP server provides an AI agent with a convenient way to interact with the Tibber API and query information such as current energy prices and your energy consumption data.

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

Enables automatic weather information retrieval through a custom MCP server integrated with OpenAI using Cloudflare tunnels. Demonstrates seamless function calling between OpenAI and custom MCP tools without manual intervention.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

OBTO gives your AI assistant a hosted app platform: it scaffolds, deploys, and operates real full-stack apps — pages, APIs, database, scheduled jobs — in a workspace created automatically at your first Google sign-in.

Deploys the current folder or a GitHub repo to a live HTTPS URL on Dockhold, and lets AI tools read status/logs, set variables, and resize apps and managed databases.

这是一个基于 ALAPI 的 MCP (Model Control Protocol) 服务器实现，可以通过MCP协议直接调用ALAPI的接口

An MCP server that runs on AWS Lambda, enabling MCP clients like Claude Desktop to invoke tools such as weather forecasts via serverless infrastructure with OAuth authentication.

Enables Claude Desktop to use MCP tools hosted in Azure Container Apps, secured with Microsoft Entra ID sign-in, and provides hello and whoami tools to confirm connectivity and the signed-in Microsoft account.

A bridge between the Context Broker and other services, implementing basic operations for entity publishing, updating, and querying in FIWARE environments.

Enables running a stateless Model Context Protocol server over Streamable HTTP on Cloudflare Workers or any fetch-capable runtime, with signed sessions, origin checks, and JSON-RPC request handling. It lets developers define tools with JSON Schema validation and per-request context.

Enables AI assistants to read-only access Apple Health data through three tools: current status and sleep, detailed metrics, and 7/14/30-day trends, deployed via one-click on Cloudflare with private-key authentication.

Enables managing Vercel projects, deployments, build logs, domains, and environment variables through natural language in Microsoft Copilot Studio, using streamable HTTP with API key authentication.

Enables state-aware Terraform/OpenTofu plan evaluation against live AWS topology and CloudWatch telemetry, detecting reliability blast radius and FinOps waste before merge.

Enables users to describe an LLM fine-tuning job in natural language so the server estimates required VRAM/FLOPs and searches live GPU pricing across a dozen cloud providers. Returns ranked cheapest, fastest, and balanced hardware recommendations with each result's data source clearly identified.

Enables administering VMware ESXi or vCenter hosts through MCP clients, exposing tools to authenticate, list, create, clone, power on and off, and delete virtual machines, and to retrieve VM performance statistics. Supports both native SSE and Streamable HTTP transports for integration with current MCP clients.

A deployment template for running Model Context Protocol servers as Vercel Functions. It provides a foundation for developers to build and host custom tools, prompts, and resources with optimized execution for MCP client integration.

Hosts MCP tools for weather queries and On-Behalf-Of flow, enabling Copilot to retrieve weather data and user info via Azure Functions.