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 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.

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

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

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

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.

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.

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.

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

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.

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

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 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.

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.

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.

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

The ChainFETCH MCP server provides API access to the Ethereum blockchain smart platform, integrating AI semantic search, real-time block streaming, and multi-modal query functions, supporting comprehensive analysis of addresses, transactions, blocks, tokens, and smart contracts.

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.

A Node.js proxy server that forwards OpenAI-compatible or MCP native requests to the Perplexity AI Sonar model and supports streaming.

The BluestoneApps MCP Remote Server implements the HTTP - based Model Context Protocol (MCP), providing remote access services for coding standards and code examples, and supporting JSON - RPC 2.0 and SSE streaming responses.

The MCP Dust Server is a server-side implementation of the Model Context Protocol (MCP) for interacting with Dust AI agents. The project consists of an MCP server and a test client, supporting real-time streaming responses, the complete JSON-RPC 2.0 protocol, session management, and other functions. It can be integrated into development environments such as Windsurf IDE and Claude Desktop.

What2Watch MCP is a service that provides real - time entertainment content discovery capabilities for AI assistants. It integrates program information from thousands of TV channels and streaming platforms and can provide personalized recommendations based on user preferences, mood, and time.

Hika MCP Server is a real-time AI knowledge search service based on the SSE protocol, enhancing the search experience through multi-cognitive perspective streaming.

An MCP server implementation based on the ElevenLabs Scribe speech-to-text API, providing real-time transcription, file transcription, context management, and two-way streaming communication capabilities.

This project is a server implementation of the Model Context Protocol (MCP) based on AWS Lambda and SAM, providing two interfaces for system configuration and client usage, and supporting functions such as tool registration, permission management, and streaming responses.

A FastMCP server implementation for connecting to the Bybit exchange API, supporting the V5 API, unified account trading, various trading types, and real-time data streaming.

An MCP server based on TypeScript, integrating the Dify AI API to implement Ant Design component code generation, supporting text/image input and streaming responses.

The Perplexity MCP Server is a Python-based interface tool that provides functions to interact with the Perplexity API, supporting query responses, maintaining chat history, and managing conversations. You can configure the model through environment variables, and it has features such as local storage of chat data, streaming responses, and a Web UI.

Example of an MCP protocol streaming HTTP server view implemented based on the Django framework

A Stdio proxy CLI tool for HTTP streaming MCP servers, which processes JSON-RPC messages through standard input and output

The Fish Audio MCP Server is a middleware that provides text-to-speech services. It achieves seamless integration with LLMs such as Claude through the Model Context Protocol, supporting multilingual, multi-tone, and real-time streaming audio generation.

This project implements a Microsoft Teams message bridging service based on the MCP protocol, integrating PostgreSQL information retrieval and DuckDB storage, and supporting hybrid search and real-time event streaming.

An S3 storage service based on the MCP protocol, providing efficient file streaming processing and security management functions.

This is a starting project for a Streamable HTTP MCP server based on TypeScript, supporting session management and providing running modes for development and production.

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