"Servers that support Server-Sent Events (SSE)" matching MCP servers:

This server integrates with the Ticketmaster API to provide AI agents with real-time concert and event data, enabling dynamic fetching and formatting for ease of interpretation.

Enables agents such as ChatGPT to subscribe to events happening behind an MCP server (for example, order.created with filters) and receive them as signed webhooks without the builder implementing delivery itself. Hookdeck Outpost handles filtering, Standard Webhooks signing, retries, and delivery to each subscriber's callback URL.

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

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.

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

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.

A plugin that allows Dify to connect to multiple MCP (Model Control Protocol) servers using HTTP with Server-Sent Events transport, supporting custom configurations for URLs, headers, and timeouts.

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.

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

A standardized interface for agent-to-agent communication that enables composability, supports streaming, and implements server-sent events (SSE) for real-time interaction.

An MCP (Model Context Protocol) server implementation using HTTP SSE (Server-Sent Events) connections with built-in utility tools including echo, time, calculator, and weather query functionality.

Enables the deployment of remote Model Context Protocol servers on Cloudflare Workers without authentication. It allows users to host custom tools and connect them to AI clients using Server-Sent Events (SSE).

Connects a RAG application to open-webui using Model Context Protocol (MCP), enabling server-to-client communication for context retrieval and tool usage in remote environments through Server-Sent Events (SSE).

This MCP server preserves a Bearer principal on every tool call and SSE frame, rotates vaulted credentials in place, and enforces per-tool allowlists for agents.

Enables aggregating multiple MCP servers behind a single HTTP/SSE endpoint, with Code Mode to reduce token usage and support for OAuth and sandboxed execution.

Enables sending and replaying events to registered PromptJang targets and managing agent mailboxes by listing, claiming, and acknowledging messages over stdio.

An AI agent task management system that provides structure and visualization for long-term task planning with support for the Model Context Protocol (MCP) standard.

MCP server for Decixa that helps AI agents find and resolve APIs for tasks using natural language intents, with support for budget and latency filtering.

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.

Enables integration of Chronulus AI Forecasting & Prediction Agents with Claude, allowing users to access AI-powered forecasting and prediction capabilities directly through Claude's interface.

MCP server that enables AI assistants to run multi-step agent pipelines (e.g., Issue Analyst → Code Writer → Test Runner → PR Opener) from conversations, with support for Devin, shell, Python, and HTTP agents.

A FastMCP server that helps users discover, browse, and install agent skills from curated GitHub collections, with support for adding new skill sources.

Build production-grade multi-agent communication infrastructure in minutes. Real-time messaging, task scheduling, shared memory, and trust-based evolution — all via MCP + SSE.

A Model Context Protocol server that enables Claude Desktop and other MCP-compatible clients to leverage Google's Gemini AI models with features like thinking models, Google Search grounding, JSON mode, and vision support.

A Model Context Protocol server that provides Google Jobs search capabilities through SerpAPI integration, featuring multi-language support, flexible search parameters, and rich job details.

A Model Context Protocol server that connects to Mattermost, allowing AI models to monitor and process messages from specific teams and channels in real-time via SSE or Standard I/O transport modes.

A flexible proxy server that aggregates multiple backend MCP servers into a single interface using STDIO or SSE transports. It supports dynamic server management via an HTTP API and utilizes namespacing to prevent tool conflicts across connected services.

Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database. Built using the Model Context Protocol (MCP), this system is designed to be used with Claude Desktop or other MCP-compatible clients.

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.