"MCP server for personalized AI course creation at aicourse.aiee.dev using remote streamable HTTP" matching MCP servers:

A step-by-step guide and complete working example for building and running an MCP server with streamable HTTP transport using Python, mcp, and FastAPI, enabling AI assistants to access tools over HTTP.

A bridge server that converts stdio protocol to streamable-http protocol, allowing clients to interact with MCP services over HTTP.

A Python-based MCP server that exposes tools over streamable HTTP using FastAPI, enabling connection to AI assistants like Cursor. Supports multiple servers mounted in a single FastAPI app.

Publishes a stateless MCP endpoint on a Next.js App Router route that speaks Streamable HTTP and runs on any serverless host, exposing example tools (add, get_time, whoami) that clients like Claude Code, Cursor, and MCP Inspector can call. A loopback client forwards per-request context, such as a caller id or a user-supplied API key, in a header so tools can act for that one request without storing anything.

A minimal Model Context Protocol server that facilitates network-based client connections using Streamable HTTP transport. It provides a greeting tool and is optimized for consistent deployment across local environments, Docker, and Kubernetes.

Bridges stdio Model Context Protocol (MCP) servers to MCP Streamable HTTP behind a single gateway, enabling multi-tenant, multi-user deployment with per-tenant environment variables via HTTP headers.

Provides basic arithmetic calculation tools through an HTTP-accessible MCP server. Supports mathematical operations like addition with streamable responses for integration with MCP clients.

Enables exposing MCP tools over HTTP using Python and FastAPI, allowing AI assistants like Cursor to connect and use tools like web search, echo, and math operations.

Demonstrates building an MCP server with Python, exposing tools like web search (Tavily) and basic utilities over streamable HTTP for AI assistants like Cursor.

Transforms stdio-based task tools into a stateful Streamable HTTP MCP server, enabling multiple clients to manage tasks via URL with session isolation and security checks.

A minimal MCP server running in a container that connects to GitHub Copilot over stateless, JSON-only Streamable HTTP, exposing echo and server_info tools.

A simple MCP server implementation that demonstrates streaming capabilities with tools for greetings and notifications, accessible through an interactive command-line client.

A Docker-based deployment that wraps the Gemini MCP server with supergateway to expose its tool capabilities over Streamable HTTP. It enables users to perform image-editing workflows and interact with the Google Gemini API using a standardized web-accessible endpoint.

Enables natural-language querying of course, teacher, and assignment information stored in a SQLite database, including fuzzy course search, teacher lookups, weekly schedules, and assignment deadlines.

A local MCP server for referencing course files from a configured classes directory, allowing listing courses and their files safely.

Vision-capable MCP server for controlling Amazon Fire TV through Home Assistant, providing screenshot-guided observation, remote commands, and app/URI actions via authenticated REST calls.

Pre-alpha P2P remote-control app with a local stdio MCP bridge for paired computers. Users build from source; platform support and host-side approvals apply.

Exposes LLM Wiki desktop capabilities via Streamable HTTP transport for MCP clients, enabling project listing, file reading, search, and knowledge graph queries through a secure API.

Provides a minimal production-ready template for implementing JSON-RPC 2.0 MCP endpoints that support initialization, dynamic tool discovery, and tool execution over HTTP.

Bridges STDIO MCP clients to Streamable HTTP MCP servers, allowing any STDIO-supported client to use Streamable HTTP servers immediately.