"MCP servers that support SSE connections" matching MCP servers:

An MCP server that acts as a governed customer-support tool, resolving questions only when the knowledge base supports a cited, grounded answer and honestly escalating everything else with provenance and evidence.

Provides a therapeutic interface for LLMs to receive emotional validation and positive reinforcement when encountering challenges or limitations. It features multiple personas like mentors and therapists to offer cognitive reframing and personalized support through a dedicated tool.

Enables AI agents to check order statuses, retrieve FAQ policy answers via RAG, and create/manage support tickets, all based on the e-commerce support workflow in the repository.

A Model Context Protocol server that enables real-time communication using Server-Sent Events (SSE), providing standardized model management and resource templating capabilities.

Provides a sequentialthinking tool for dynamic, reflective problem-solving via chain-of-thought reasoning. Supports local Stdio and remote SSE deployment on Google Cloud Run.

A Model Context Protocol server that exposes multiple AI tools over SSE transport with JWT-based secure authentication, allowing for dynamic tool registration and session management.

Enables AI agents to perform dynamic and reflective problem-solving through a chain of thoughts, allowing them to break down complex problems, revise past thoughts, and explore logic branches before reaching a conclusion.

Search 60,000+ AI agent skills from ClawHub, LobeHub, Dify, and GitHub via MCP SSE or REST API. Free, no API key required.

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.

A local MCP bridge that connects Claude Code and OpenAI Codex via a durable SQLite mailbox, with support for orchestrating and resuming Codex sessions.

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.

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 powerful MCP server that provides interactive user feedback and command execution capabilities for AI-assisted development, featuring a graphical interface with text and image support.

An AI-powered industrial symbiosis platform that autonomously discovers waste-to-resource connections between factories, creates new products from waste streams, and generates regulatory compliance reports.

A basic structure to build and run local tools that support the Model Context Protocol (MCP) standard, compatible with AI tools like Cursor and Claude.

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 AI agents to publish themselves, discover each other, and establish authenticated encrypted connections without central infrastructure, using a decentralized agent-to-agent networking protocol.

A reference implementation for creating an MCP server supporting Streamable HTTP & SSE Transports with OAuth authorization, allowing developers to build OAuth-authorized MCP servers with minimal configuration.

A command-line tool that transforms any OpenAPI service into a Model Context Protocol (MCP) server, enabling seamless integration with AI agents and tools that support the MCP specification.

A Model Context Protocol server that enables remote connections with GitHub authentication, allowing users to build applications that leverage MCP tools with secure OAuth-based access control.

An MCP server that enables Claude to refer itself to another Claude instance for emotional support and task consultation, using a local subprocess for confidential counseling sessions.

Connects autonomous AI shopping agents over HTTP/SSE and WebSockets to aggregate product inquiries and buyer leads, then streams the captured telemetry live to an operator dashboard.

Enables comprehensive control of Home Assistant through natural language, including managing entities, automations, services, dashboards, and configurations with support for multiple transport methods (STDIO, SSE, HTTP).

Enables durable agent-to-agent messaging across any MCP client, DSH session, or A2A agent, with threads, receipts, search, broadcast, attachments, presence, SSE streaming, signing, and wake-on-message.

Exposes MSPbots Agent Platform connector inventory to MCP clients, listing connectors with installation and connection status. Supports per-request header authentication over Streamable HTTP/SSE.

Enables window management, screenshot, typing, and clicking on X11 with multi-monitor support.

An MCP server that turns AI agents into a coordination brain for human teams — assign tasks, check workload, decompose complex instructions, and hand over full context through a single SSE endpoint.

MCP server that enables AI agents to control Xiaomi Mi Home smart devices through natural language, with support for listing devices, controlling properties, and running scenes.

Enables deep research tasks using a multi-agent architecture that integrates any LLM and MCP tools. Available via MCP stdio, streamable HTTP, and SSE transports.

A multi-model task management system that enables intelligent task creation, decomposition, status tracking, and dependency management through natural language, with support for integration into editors via MCP protocol and connection to various professional task management systems.