"MCP servers that use streamable HTTP as transport" 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 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.

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

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.

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.

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

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

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 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.

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

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.

Provides tools for AI agents to query live public transport data for GZM (Silesian Metropolis) including vehicle positions, trip updates, service alerts, and next arrivals.

A TypeScript boilerplate for building Model Context Protocol servers using the Streamable HTTP transport and session management. It serves as a foundational template with pre-configured development tools to help developers quickly build and deploy streamable MCP services.

Enables remote server control via SSH through Claude, supporting command execution, file transfers, and multi-server management with both standard and streamable HTTP protocols.

A Multi-Agent Conversation Protocol server that enables interaction with Rajasthan Transport Department's API, allowing access to vehicle and driver-related services through natural language.

Provides a generic HTTP client tool allowing AI agents to make arbitrary HTTP requests from their environment, with support for environment-variable placeholders for secrets.

Provides Estonian public transport timetables, trip planning, stop search, and real-time vehicle tracking.

Enables deploying standalone MCP connectors, discovering them through a validated catalog, and running an optional trusted polyglot runtime for the DX Heroes MCP Gateway.