Eino is an LLM application development framework designed specifically for Golang, aiming to simplify the AI application development process through concise, scalable, reliable, and efficient component abstraction and orchestration capabilities. It provides a rich component library, powerful graphical orchestration functions, complete stream processing support, and a highly scalable aspect mechanism, covering the full-cycle toolchain from development to deployment.

Sail is a project aiming to unify stream processing, batch processing, and compute - intensive (AI) workloads. It provides an alternative to Spark SQL and Spark DataFrame APIs and supports both standalone and distributed environments.

The Dify plugin enables tool invocation through the MCP protocol and supports SSE and Streamable HTTP transport methods

MCPHub is a unified management platform that aggregates multiple MCP servers and provides different Streamable HTTP endpoints through grouping, simplifying the integration of AI tools.

The official MCP server of phospho, implementing the model context protocol, supporting the control of physical robots through natural language, and providing functions for performing actions and camera image streaming.

This project is a multi - tool integration and code execution platform based on FastMCP. It supports importing MCP tools from local and SSE clients, provides Docker deployment and streaming code execution management, and is suitable for various tool invocation scenarios such as chemical information query and web page parsing.

An MCP server that provides enhanced file operation functions, supporting streaming processing, patching, and change tracking

This project is a proof-of-concept (POC) that demonstrates how to implement the Model Context Protocol (MCP) through a custom host for testing agentic systems. Core features include OpenAI-compatible API, Google Gemini integration, streaming response support, and tool invocation capabilities.

The SQL Stream Builder MCP Server is a comprehensive SSB management platform that provides full access to SSB functions through more than 80 MCP tools. It supports independent deployment and CDP deployment, covering functions such as job management, real-time data sampling, system monitoring, and user management.

An MCP server that provides Twitch chat moderation, live stream management, and API integration, supporting AI systems to interact with Twitch live streams

A plugin that converts the API of Dify tools into MCP - compatible APIs, supporting both HTTP with SSE and Streamable HTTP transmission methods.

Archon is an intelligent system for autonomously constructing and optimizing AI agents. It demonstrates key principles of modern AI through iterative development, including agent reasoning, domain knowledge integration, and scalable architecture. The current version V4 provides a comprehensive Streamlit interface, supports Docker deployment, and integrates with MCP services for seamless docking of the AI IDE.

An MCP server based on the Twitch API, providing interaction services for data such as channels, live streams, and games.

This project implements a read-only MCP server for the Notion API, focusing on providing efficient content query and retrieval functions for AI assistants. Through optimization measures such as streamlining the toolset, parallel processing, and automatic content exploration, it significantly improves performance and solves the problem of the limited number of AI assistant tools.

A server that implements the Model Context Protocol (MCP) for interacting with Dust AI agents, supporting real-time streaming responses and various integration methods.

FFmpeg-MCP is a model context protocol server designed to help LLMs process various multimedia content created by humans and machines, including functions such as decoding, encoding, transcoding, mixing, separating, streaming, filtering, and playing.

A TypeScript server that converts Dify workflows into MCP tools, supporting configuration through YAML and streaming responses.

This project provides a reference implementation of an MCP server that supports OAuth authorization and streaming HTTP/SSE transmission, allowing developers to quickly set up their own MCP services and integrate OAuth authentication.

xsMCP is a lightweight MCP SDK designed to simplify client/server construction, avoid relying on large libraries, focus on streaming HTTP communication, be compatible with Web standards, and support multiple server frameworks.

A serverless MCP protocol implementation project based on AWS Lambda, CloudFront, and Cognito authentication, providing a complete cloud MCP server infrastructure, supporting OAuth 2.0 authentication, real-time stream transmission, and a scalable architecture.

This project demonstrates a serverless MCP (Model Context Protocol) tool implementation based on AWS Lambda, including a Python server - side and a TypeScript client, supporting streaming HTTP communication. The server - side simplifies the MCP tool development process, has built - in session state management, and demonstrates integration with Amazon Bedrock.

The MCP Gateway is a reverse proxy server used to centrally manage and forward client requests to multiple MCP servers, supporting SSE streams and tool calls.

A VSCode extension based on the FastMCP framework that transforms VSCode into an MCP server, supporting remote execution of internal VSCode commands via HTTP Streaming, querying workspace information, and asynchronous task management

A multi-agent deep research system based on MCP, integrating LinkUp search, CrewAI coordination, and the Gemini large model, providing an interactive interface through Streamlit.

The TianGong AI Model Context Protocol (MCP) Server supports multiple communication protocols, including STDIO and Streamable Http, and provides convenient deployment and development support.

A server based on the Model Context Protocol (MCP) and Server-Sent Events (SSE), integrating the Brave Search API to provide real-time streaming search functionality for AI models and clients.

WebScout MCP is a web application reverse-engineering tool based on the Model Context Protocol, focusing on automated analysis of chat interfaces and streaming APIs, providing browser automation, network traffic capture, and intelligent pattern detection capabilities

This project is an MCP server that only supports Streamable HTTP and tool capabilities, providing a stateless service without response validation, which can be deployed to the Playground environment via DFX.

A secure pre-approved command execution MCP server that provides restricted command execution functionality and supports real-time output streaming

A message context protocol server integrating Apache Kafka, providing publishing and consuming functions for LLM and agent applications.

HTTP-4-MCP is a middleware server that can convert ordinary HTTP interfaces into MCP protocol interfaces, supporting functions such as visual configuration, real-time data stream, and hot reload.

The OWL x WhatsApp MCP Server project is an application that integrates WhatsApp messaging functionality with a multi - agent collaboration framework. It enables AI agents to access, search, and send messages to WhatsApp data through the Streamlit interface and supports real - time web searches.

An example of a stateless MCP server based on the Hono framework, supporting Streamable HTTP and deployable to platforms such as Cloudflare Workers.

A multi-functional TTS server based on the MCP framework that integrates the Kokoro local TTS and the OpenAI cloud TTS engine, supporting real-time audio streaming, voice customization, and playback control.

This project guides you on how to build a client-host-server system based on the MCP protocol, including a FastAPI server, an MCP client, and an SSE streaming server. It enables the interaction of resources, tools, and prompts and supports integration with the Claude desktop application.

An MCP server based on the Twitch API, providing various functions such as channel information, live - streaming data, game search, etc.

This project provides a server and client system based on the MCP protocol for obtaining research papers from arXiv. The server processes queries and retrieves relevant papers, and the client interacts with the server through the Streamlit interface, integrating tools such as LangChain and Groq to enhance query processing capabilities.

A TypeScript-based MCP server that integrates with Mem0 to provide memory stream functions

An SSE proxy server based on Node.js that enables real-time response stream transmission of models such as GPT-4 via the Browserbase API

The MoveFlow Aptos MCP Server is a blockchain interaction service based on the Model Context Protocol, providing a standard interface for AI assistants to interact with the Aptos blockchain's cryptocurrency streaming payment protocol.