"MCP servers with SSE endpoints" matching MCP servers:

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

A template for deploying authentication-free MCP servers on Cloudflare Workers, enabling quick setup of custom tools accessible via SSE endpoints for AI assistants like Claude.

MCP server enabling LLMs to perform browser tasks via SSE transport, allowing clients like Cursor.ai and Claude to open websites and interact with web content through natural language commands.

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

A MCP Server used to collect MCP Servers over the internet.

A bridge server that connects Agent Communication Protocol (ACP) agents with Model Context Protocol (MCP) clients, enabling seamless integration between ACP-based AI agents and MCP-compatible tools like Claude Desktop.

A dynamic service that creates and manages Model Context Protocol (MCP) servers, allowing users to spawn, customize, and control multiple MCP servers as child processes.

A Model Context Protocol server that enables AI assistants to interact with Jenkins CI/CD servers, providing tools to check build statuses, trigger builds, and retrieve build logs.

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.

Bidirectional MCP integration that allows Strands agents to both expose themselves as MCP servers and connect to other MCP servers as clients, enabling seamless agent-to-agent communication and tool sharing.

Enables autonomous learning from interactions through pattern recognition and machine learning techniques. Continuously improves performance by analyzing tool usage, providing predictive suggestions, and sharing knowledge across MCP servers.

A proxy MCP server that aggregates tools from multiple MCP servers and forwards calls to the appropriate server, used with the Metatool App for GUI tool management.

Governs AI agent tool calls by checking them against Agentic Control Plane policies, returning allow/deny/ask decisions with audit logging and identity attribution for MCP clients like Claude and ChatGPT. Exposes acp_check and acp_status tools for policy enforcement and connection verification.

A central hub that aggregates multiple MCP resource servers into a single unified interface, enabling users to access tools and capabilities from multiple backend servers through one connection point.

A project that integrates Model Control Protocol with OpenAI's API, allowing OpenAI to access and utilize tools exposed by a dockerized MCP server.

A discovery tool for AI agents to search, evaluate, and install MCP servers from multiple registries.

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 comprehensive Model Context Protocol server template that implements HTTP-based transport with OAuth proxy for third-party authorization servers like Auth0, enabling AI tools to securely connect while supporting Dynamic Application Registration.

A remote MCP server deployed on Cloudflare Workers without authentication, enabling tools via SSE for use with AI playgrounds and desktop clients.