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

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 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.

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 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.

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.

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.

An MCP server that acts as a proxy to connect MCP clients to agent frameworks like Mastra and LangGraph, enabling agent discovery, dynamic server connections, and recursive agent networks.

Installs once in Claude Code and automatically discovers the nearest project's mcp.json, launching that checkout's declared MCP servers and forwarding their tools, resources, and prompts through a single connection. Each session keeps its own isolated connections, so repositories can ship their own local server manifests without maintaining a global configuration.

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 for integrating AI assistants like Claude Desktop with the Stellar blockchain, enabling wallet connections, token listings, balance queries, and fund transfers.

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.

Enables AI assistants to perform comprehensive Redis database operations including managing strings, hashes, lists, sets, sorted sets, TTL management, and data backup/restore. Supports secure connections and provides batch operations for efficient Redis interaction through natural language.

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.

Accepts incoming websocket connections and creates unique POST API endpoints for each one, enabling classix to interact with MCP tools.

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.

A batteries-included server runtime for provider-backed agents, offering MCP, CLI, REST, and plugin support.

Aggregates SZL backend service tools (a11oy organs, killinchu drones/vessels, and more) behind one signed Streamable HTTP + SSE MCP endpoint that any MCP client can call. Every invocation passes authentication, injection screening, quorum gates for state-changing actions, and returns an append-only Khipu receipt with a DSSE-signed response.