MCPs tagged with # Server-Sent Events

MCP Ping-Pong Server by Remote Call demonstrates the use of the Model Context Protocol (MCP) for handling command-based interactions via FastAPI. The project provides a backend powered by FastAPI and FastMCP, enabling remote MCP calls through API endpoints and Server-Sent Events (SSE). It includes thread-safe session management, command handling integration, and an interactive UI for engaging with ping, pong, and count operations. Designed as an educational tool, it showcases practical MCP usage for API-driven workflows.

• ⭐ 1
• MCP
• kimtth/mcp-remote-call-ping-pong

Vectara MCP Server implements the open Model Context Protocol to enable AI systems and agentic applications to connect securely with Vectara's Trusted RAG platform. It supports multiple transport modes, including secure HTTP, Server-Sent Events (SSE), and local STDIO for development. The server provides fast, reliable retrieval-augmented generation (RAG) operations with built-in authentication, rate limiting, and optional CORS configuration. Integration is compatible with Claude Desktop and any other MCP client.

• ⭐ 25
• MCP
• vectara/vectara-mcp

Braintree MCP Server implements the Model Context Protocol (MCP) to provide AI assistants with structured, direct access to PayPal Braintree's payment services. It supports both STDIO and Server-Sent Events (SSE) transports, facilitating integration with AI clients and standalone web-based deployments. The server allows execution of GraphQL queries against Braintree, supports multi-client access, and handles authentication through environment-based configuration. Designed for secure, extensible, and automated payment operations in AI-driven workflows.

• ⭐ 3
• MCP
• QuentinCody/braintree-mcp-server

Dexscreener MCP server provides a basic Model Context Protocol (MCP) interface to the Dexscreener API, allowing integration with tools like Claude Desktop. It supports both STDIO and server-sent events (SSE) modes and facilitates contextual API access based on the latest Dexscreener documentation. Configuration is straightforward for users on both MacOS and Windows, and the server can be tested using Inspector or other MCP-compatible clients.

• ⭐ 16
• MCP
• janswist/mcp-dexscreener

Shadcn UI v4 MCP Server acts as a Model Context Protocol server, delivering comprehensive access to shadcn/ui v4 components, blocks, examples, and metadata for AI assistants. It supports multiple frameworks including React, Svelte, Vue, and React Native, and enables retrieval of component source code and demos for programmatic use. Features include metadata access, directory browsing, smart GitHub API caching, and Server-Sent Events for scalable multi-client support. Production-ready options such as Docker containerization and flexible transport modes simplify deployment and integration.

• ⭐ 2,451
• MCP
• Jpisnice/shadcn-ui-mcp-server

MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.

• ⭐ 196
• MCP
• zilliztech/mcp-server-milvus

Opik MCP Server is an open-source implementation of the Model Context Protocol (MCP) designed for the Opik platform. It enables seamless integration with compatible IDEs and provides a unified interface to manage Opik's features such as prompts, projects, traces, and metrics. Supporting multiple transport mechanisms like stdio and experimental SSE, it simplifies workflow integration and platform management for LLM applications. The tool aims to streamline development and monitoring by offering standardized access and control over Opik's capabilities.

• ⭐ 182
• MCP
• comet-ml/opik-mcp

Didlogic MCP Server provides a Model Context Protocol-compliant server that enables Large Language Models to interact with Didlogic services through a standardized interface. It supports multiple transport modes, including STDIO, HTTP, and SSE, and offers tools for managing SIP accounts, balances, IP restrictions, and transaction histories. The server ensures secure API access via environment variables or bearer tokens and is easily configurable for LLM platforms, such as Claude.

• ⭐ 3
• MCP
• UserAd/didlogic_mcp

Nostr MCP Server enables AI models to interact securely and programmatically with the Nostr protocol, facilitating the posting of notes and integration with decentralized social networks. It provides an MCP-compliant API that supports real-time communication, multi-relay support, and Lightning zaps for payments. Built with TypeScript, the server is designed for easy deployment, supports server-sent events and stdio modes, and is configured for extensibility by developers.

• ⭐ 37
• MCP
• AbdelStark/nostr-mcp