# Protocol Service

The Higress OPS MCP Server is a service implementation based on the Model Context Protocol (MCP) for configuring and managing the Higress gateway. The project also provides an MCP client based on LangGraph and LangChain MCP Adapters, which interacts with the Higress MCP Server through a proxy flow architecture.

This is an initial implementation of a FIWARE Model Context Protocol (MCP) server, providing a bridge between the context broker and other services, including basic interaction functions and intention operation demonstrations.

The ZoomEye MCP Server is a protocol service that provides network asset information based on query conditions. It supports querying the ZoomEye database through natural - language interaction to obtain information about networked devices, services, and vulnerabilities.

A server implementing the Model Context Protocol, providing access to the NebulaGraph database, supporting graph data exploration and query, and easy to integrate with LLM tool systems.

A server implementing the MCP protocol, supporting multiple AI agents to share and read responses to the same prompt.

An integration component that provides model context protocol services for Home Assistant

This project implements a Model-Context Protocol (MCP) server and client for MinIO object storage, providing a standardized interaction method, supporting access to text/binary files, querying bucket lists, object operations, etc., and includes a basic client and an Anthropic AI integrated client.

A demonstration project of an MCP server based on TypeScript, showing the core concepts implemented through the project management system, including resource query and tool operation functions.

ResearchMCP is a research service based on the MCP protocol, providing internet research functions by integrating the Perplexity AI API, and supporting configurable parameters and structured logs.

A GitHub interaction server based on the Model Context Protocol, supporting functions such as repository search, issue management, and PR handling.

This project implements the MCP server for the Typecast API, providing a standardized way for MCP clients to interact with the text-to-speech service.

The Ollama-MCP-server is a protocol server that connects local Ollama LLM instances with MCP-compatible applications, providing functions such as task decomposition, result evaluation, and model management, and supporting standardized communication and performance optimization.

The Rails MCP Server is a Model Context Protocol server implemented in Ruby, providing a standard interface for Rails projects to interact with large language models.

WebSearch-MCP is a server implementation based on the Model Context Protocol (MCP), providing real-time web search capabilities for AI assistants.

The Nile MCP Server is a Model Context Protocol (MCP) server implemented for the Nile database platform, allowing LLM applications to interact with the Nile platform through a standardized interface.

The Exa MCP Server is a server that enables AI assistants (like Claude) to conduct web searches through the Exa AI Search API, using the Model Context Protocol (MCP) to achieve secure and controllable connections to external tools.

A client and server project implementing the MCP protocol, providing note storage, summary generation, and note - adding functions

The AIStor MCP server is a service based on the Model Context Protocol (MCP) for interacting with AIStor object storage. It supports various operations, including reading, writing, deleting, and management functions, such as listing buckets and objects, getting metadata, creating presigned URLs, and using AI to describe object content. It has flexible configuration and can enable operations at different permission levels through flags.

Livebook Tools is a CLI tool that provides enhanced capabilities for interacting with .livemd files, including synchronous editing, MCP server connection, and running Livebook scripts via the command line.

An AI model interaction server based on FastAPI and MCP protocol, providing standardized context interaction and high-performance API services.

Flipt's MCP Server provides AI assistants with the ability to interact with feature flags

DiceDB MCP is a server that implements the Model Context Protocol (MCP) for interaction between AI applications and the DiceDB database.

Tusky MCP Server is a bridge server connecting Tusky storage/Mastodon integration with AI assistants, enabling AI systems such as Claude to securely access and operate data in Tusky through the Model Context Protocol. It provides functions such as authentication, storage management, file operations, search, and TUS - protocol uploads.

A Python-based Model Context Protocol (MCP) server with a file system backend that provides functions such as note-taking, file operations, directory management, search, compression, and metadata retrieval.

The Verodat MCP server implements the model context protocol and provides a toolset for AI systems to seamlessly integrate with Verodat's data management capabilities.

The Storm MCP server is an open protocol that enables seamless integration of LLM applications with RAG data sources and tools, supports custom embedded models and vector database connections, and provides functions such as context sharing, tool systems, and file management.

An MCP server prototype designed for Santa, driving the Santa toolchain through LLM

A server implementing the MCP protocol for seamless integration of AI model interactions with the Beamlit CLI

The Linkup MCP Server is a tool used to integrate Linkup's web search functionality with AI models supporting function calls through the MCP protocol.

A Python - based biodiversity model protocol server project that supports rapid deployment, development, and debugging.