"Finding MCP servers that support SSE or Streamable HTTP, excluding stdio transport" matching MCP servers:

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

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

A Node.js proxy that enables communication between stdio-based clients and HTTP-based Model Context Protocol servers. It facilitates protocol translation, session management, and authentication to allow remote HTTP servers to function as local stdio 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 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.

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.

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.

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 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.

Enables real-time communication between client and server using Server-Sent Events (SSE) for the Model Context Protocol, specifically built for the Bun JavaScript runtime.

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

A starter template for building MCP servers in Python using the streamable HTTP transport protocol. Provides a foundation with the MCP Python SDK and example configuration to quickly develop custom MCP servers.

Demonstrates how to create a simple MCP server with streamable HTTP transport, featuring tools, prompts, and resources.

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 AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

A minimal, zero-dependency MCP server that enables defining and running tools over stdio transport, without extra features like HTTP or resources.

A starting template for building a Streamable HTTP MCP server using TypeScript, based on the official SDK example with session management.

A TypeScript-based MCP server that implements a simple note-taking system using low-level server components and streamable HTTP. It enables users to create, store, and summarize text notes through a set of tools, resources, and specialized prompts.

A transport wrapper that exposes Contentstack MCP tools over HTTP instead of stdio to enable remote access and horizontal scaling. It acts as a proxy for the Contentstack MCP package, allowing browser-based and networked clients to interact with various Contentstack APIs.