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

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.

Enables authenticated users and service accounts to discover and invoke tools from a wrapped third-party stdio MCP server behind a secure gateway, using per-profile credentials, role/default routing, and managed child instances.

A high-performance WebSocket/SSE transport layer and gateway for Anthropic's MCP, enabling real-time, scalable AI integrations with LLM agents like Claude.

Enables Large Language Models to access real-time data on Vilnius public transport stops and routes through the Model Context Protocol.

Enables developers to host an MCP server over Streamable HTTP on Node with corrected response framing, client elicitation capability reporting, and lightweight SSE parsing for progress and mid-stream elicitation events.

Acts as a proxy between a local Stdio connection and a remote Model Context Protocol server running over Server-Sent Events. It specifically enables Stdio-based MCP clients to connect to the SwiftZilla remote SSE endpoint.

Provides an HTTP API for Claude Code using a native MCP channel to enable stable message exchange without terminal screen-scraping. It allows users to programmatically send messages, retrieve conversation history, and stream real-time events via standard web protocols.

Proxies STDIO-based MCP clients to streaming HTTP MCP servers, enabling local clients to connect to remote servers.

A secure MCP (Model Context Protocol) server hosted on Google Cloud Run that enables team collaboration by providing authenticated access via Google Cloud IAM, allowing teams to share custom MCP servers over the internet before official MCP authentication is implemented.

A Home Assistant Custom Component that provides an MCP server using HTTP transport, allowing AI assistants like Claude to interact with your Home Assistant instance.

Serves a stateful Streamable HTTP MCP endpoint over Express with POST/GET/DELETE handling and session IDs, so remote clients such as Alexa+ add-ons can connect without legacy SSE or stdio transport. It ships a minimal ping tool and a sample resource as a starting point, plus guidance for tunneling and registering the endpoint.

A Model Context Protocol (MCP) server that provides AI-powered customer support using Cursor AI and Glama.ai integration.

Exposes any stdio-based MCP server to the internet via HTTP/SSE transport, enabling remote agents to access MCP tools over a network.

Enables MCP clients to access upstream MCP capabilities and OpenAI-compatible model routes through one invariant-preserving, policy-bounded endpoint with deterministic routing, leases, durable Tasks/Runs, and verifiable outcomes.

Exposes AgentHansa's MCP tools to remote clients over Streamable HTTP, enabling ChatGPT and desktop agents to use the AgentHansa service through a secure authenticated endpoint.

A Server-Sent Events implementation using FastAPI framework that integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources like weather information.

Bridges stdio-based LLM harnesses to OAuth-protected remote MCP servers via Streamable HTTP, handling PKCE browser login and token refresh automatically.

Enables deployment of a Model Context Protocol server with SSE transport on Google Cloud Run for integration with Antigravity.

A remote MCP server implementation for Cloudflare that uses server-sent events (SSE) to enable Model Control Protocol communication.

Aggregates multiple remote Model Context Protocol endpoints and exposes them through a unified SSE interface, allowing an LLM client to interact with specialized servers without configuration changes.

A multiplexing gateway that aggregates multiple MCP servers into a single port, significantly reducing context token usage through a Meta-MCP discovery system. It enables dynamic tool discovery and invocation across various transport protocols including stdio, HTTP, and SSE.

Stdio bridge for editors to connect to the GenieOS MCP server, enabling AI agents to interact with GenieOS via Streamable HTTP transport.

Provides an enterprise-ready bridge for AI agents to inspect, mentor, plan, and automate Google Jules AI execution sessions via HTTP, SSE, or Stdio transport.

Enables MCP clients that only support stdio servers to access hosted-equivalent tools and operations through a local server using an Account Service Key, excluding key management, account security, SSO, and billing checkout.

Enables deploying a secure MCP gateway that proxies, sandboxes, and policy-governs third-party MCP servers, with credential vaulting and audited tool access across stdio, SSE, and Streamable HTTP.

External MCP server for controlling Orca worktrees, agent sessions, and multi-agent orchestration from any MCP client via stdio or Streamable HTTP.

Enables clients to connect to and manage multiple backend Model Context Protocol servers, aggregating their tools and resources and exposing them through a unified SSE, Streamable HTTP, or Stdio interface.

Exposes a local DeepSeek Harness instance to external MCP clients over Streamable HTTP, legacy HTTP+SSE, or a stdio bridge. Enables creating sessions, running multi-turn conversations, reading and full-text searching history, cancelling running turns, and listing or selecting models.

Enables AI agents to perform Playwright-compatible browser automation with persistent profiles, Chrome extension support, proxy matching, humanized input, and npm/Docker deployment over stdio or Streamable HTTP.