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.

assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.

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.

A remote ChromaDB server based on the Streamable HTTP MCP protocol, providing AI assistants such as Claude with the ability to remotely access the vector database, supporting cross - platform shared memory and semantic search.

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.

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.

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

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

PersonaLive is an AI-based real-time portrait animation system that supports real-time driving through a camera or offline video processing to generate vivid virtual avatars, suitable for scenarios such as live streaming.

SERP MCP Server is a Google search result crawler server based on the Model Context Protocol. It supports fingerprint rotation, location encoding, and streamlined mode, and can automatically extract data such as organic results and related searches.

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.

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.

FridaC2MCP is a proof - of - concept project that exposes the capabilities of the Frida dynamic instrumentation tool as a remote MCP server through HTTP streaming, aiming to achieve remote and automated mobile application security testing. The project is designed to run on a rooted Android device, allowing clients to analyze and manipulate running applications over the network.

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.

The MCP Server Dashboard is a unified management platform that simplifies the management and scaling of multiple MCP servers through flexible streaming HTTP endpoints. It supports on-demand access to all servers, a single server, or a logically grouped set of servers, and provides a centralized web management interface.

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.

Auralis Commander is a lightweight Windows MCP server that integrates 14 core tools, covering functions such as Shell execution, file operations, process management, and system information. It is more streamlined and efficient compared to similar solutions.

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.

VulniCheck is an AI - driven security scanner that provides comprehensive security analysis for Python projects and GitHub repositories. It runs as a Docker - based HTTP MCP server, supports standard HTTP streaming, and offers containerized deployment and comprehensive vulnerability scanning capabilities, including dependency checking, key detection, Docker file analysis, and AI risk assessment.

The Codex MCP Tool is an open-source MCP server that connects the IDE or AI assistant to the Codex CLI, supporting non-interactive automation, secure sandbox editing, and large-scale code analysis. It provides progress streaming updates and a structured change mode.

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.

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

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.

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.

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 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.

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

Criterion is an AI - based Islamic knowledge assistant that provides authoritative guidance through the Quran and Hadith. It uses semantic search and real - time streaming response technology, is permanently free, and focuses on core doctrines.

40ants-lisp-dev-mcp is an MCP server that provides tools for large language models (LLMs) to interact with a running Lisp image. It supports running in stdio or HTTP stream modes, allowing LLMs to call Lisp functions, obtain documentation, evaluate code, etc., facilitating AI-assisted programming in the Lisp development environment.

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.

Trackor is a custom MCP server and simple client built on FastMCP and Streamlit, providing an expense tracking tool that supports functions such as addition, deletion, modification, query, statistical summarization, and export. It uses an SQLite database and a JSON classification file.