# Protocol Service

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

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.

The Genesis MCP Server is a model context protocol server supporting visualization functions, specifically designed for Genesis World simulation.

Ultra MCP is a multi-model AI protocol server that integrates AI models such as OpenAI and Gemini through a unified MCP interface, providing support for Claude Code and Cursor. It features zero-configuration installation, a built-in usage analysis dashboard, and a modern web interface.

The MCP server is a service for processing the model context protocol. It supports installation through npm, yarn, or pnpm and provides examples of client calls.

The HuLa MCP Service is a TypeScript implementation based on the Model Context Protocol, providing a backend service for the HuLa instant messaging application with functions such as resource access, tool operations, and context management.

A Model Context Protocol (MCP) server for Warpcast integration, allowing users to interact with their Warpcast accounts through Claude, supporting functions such as posting, reading posts, searching, and channel management.

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

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 Verodat MCP service is a protocol server for integrating code and data into AI systems (such as Claude Desktop), providing functions such as account management, dataset operations, and AI queries.

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.

Configuration Instructions for MCP Terminal Service

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.

This project is a Model Context Protocol (MCP) server implemented for Mattermost integration. It retrieves and processes information by connecting to Mattermost API endpoints, supports two transmission modes (SSE and standard I/O), and provides real-time message processing and team/channel monitoring functions.

A Model Context Protocol (MCP) server implemented for the integration of SAP HANA cloud database and Cursor IDE, providing model management, execution environment configuration, and standardized communication interfaces.

The MCP server is a platform that supports AI - based autonomous software development. It provides functions such as file operations, network requests, database queries, Git management, and system command execution, enabling full - process automated development from concept to testing.

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.

This is a TypeScript-based File System MCP Server that provides a secure and reliable local file system operation interface for AI agents, including functions such as reading, writing, updating, and managing files and directories.

Keycloak Management Protocol Server, providing user and domain management tools

A Model Context Protocol (MCP) server implemented for NebulaGraph, providing seamless access to NebulaGraph, supporting graph exploration, querying, and shortcut algorithms, and being easily integrated with LLM tool systems.

This project provides an MCP server for connecting Claude to the Qdrant vector database, enabling remote access through Docker deployment.

The Gemini MCP Server is a middleware designed for the Claude desktop application, enabling image generation through Google's Gemini AI model. This project provides a convenient installation and configuration wizard, supports Docker containerized deployment, and allows users to customize generation parameters.

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 1Panel MCP Server is an implementation of the model context protocol server designed for 1Panel.

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

Cline's MCP protocol backend service, providing knowledge base integration and retrieval functions

A professional tool for quickly creating MCP server scaffolds

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.

The Slack MCP Server is a model context protocol service designed for Slack workspaces. It supports Stdio and SSE transmission methods and can be integrated and used without the need for workspace administrators to create or approve bot permissions.

Edit-MCP is a model context protocol server integrated with the Microsoft Edit tool, providing advanced file editing capabilities for AI systems and adopting a hybrid architecture that combines direct file operations and Edit integration.