# Protocol service

The MCP service backend of Cline, providing core functions of knowledge base integration and retrieval

The Databricks MCP Server is a service based on the MCP protocol that allows LLM tools to interact with the Databricks platform, providing management functions for clusters, jobs, notebooks, etc.

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

Snowflake MCP Service is a server that implements the Model Context Protocol (MCP), providing the ability for MCP-compatible clients to access Snowflake databases. It supports two authentication methods: password and key pair, and includes core functions such as connection management and query processing.

This project implements a model control protocol server based on Node.js and TypeScript, providing a REST API for managing service offerings, assets, onboarding tasks, and other related resources, with functions such as asset configuration and service management.

View Control MCP Server is a server that implements the Model Context Protocol (MCP), allowing AI assistants to control the mouse, keyboard operations, and screen capture of a local PC through the JSON - RPC 2.0 protocol. It supports integration with MCP clients such as Claude Desktop and Cursor.

A personalized 'Model Context Protocol' (MCP) server has been released. It's similar to JARVIS but with a more distinct style and supports handling complex problems.

A customized MCP documentation server that supports LLM applications to integrate document resources through the Model Context Protocol, providing access to LangGraph and MCP documentation and URL scraping capabilities.

An MCP server based on Scrapli for interacting with network devices via SSH, supporting connections from MCP clients such as Claude Desktop.

The Ragie Model Context Protocol server provides knowledge base retrieval capabilities

Jupyter MCP Server is a server that implements the Model Context Protocol, supporting interaction with notebooks running on local JupyterLab.

The Aider MCP Server is an experimental model context protocol server used to offload AI coding tasks to Aider, improving development efficiency and flexibility.

Example project for implementing Spring AI tools

The Starknet MCP Server is an AI model interaction service based on the Model Context Protocol, supporting the retrieval of the latest block information from the Starknet blockchain.

This project implements an MCP server supporting Stdio and SSE transmission based on the official MCP Rust SDK, used to interact with Trustify instances.

The Tenzir MCP Server is a service based on the Model Context Protocol, used to connect AI assistants with security data pipelines and map data to the Open Cybersecurity Schema Framework (OCSF).

The ORMCP Server is a server based on the Model Context Protocol (MCP) that connects AI applications to any relational database. It enables two-way communication between JSON data and the database through Object Relational Mapping (ORM).

This is an MCP server that provides AI assistants with comprehensive access to Cisco Webex messaging functions. It includes 52 tools and supports enterprise-level functions such as message sending, space management, team collaboration, user management, and Webhook integration. It also supports Docker containerization and dual transport modes.

An MCP server that connects AI assistants with the Metabase analytics platform, providing functions such as data query and dashboard access, and supporting two authentication methods.

The Integrator MCP Server is a legacy model context protocol server that can convert Integrator automated workflows into tools that can be called by AI assistants, enabling two-way interaction.

A server-side project that implements the Model Context Protocol (MCP), supporting AI assistants to interact with external services and data sources, and providing functions for task creation, running, and debugging

GBox MCP Server is a server implementation based on the FastMCP protocol, supporting real-time communication with the GBox game engine and integrating ComfyUI to achieve AI-assisted game development.

A proof - of - concept project for a server implementing the Model Context Protocol (MCP), providing custom tools and resources to enhance the capabilities of AI assistants, including document search, web page crawling, and Google Search API integration.

Keycloak MCP Server is a service based on the Quarkus framework, used to implement the Model - Context Protocol (MCP) standard and integrate with Keycloak to provide identity and access management solutions.

The Notion MCP Server is a bridge connecting AI assistants and Notion workspaces. Through the standardized Model Context Protocol, it enables AI to programmatically access and manipulate Notion databases, pages, and content blocks.

Gitlab MCP Server is an open - source service based on the Model Context Protocol, inherited from the MCP server on Github.

mcp-find is a command-line tool for searching MCP servers through the API of mcprepository.com, which helps developers quickly find the required protocol services.

This project is a server based on the Model Context Protocol (MCP) for integrating the WooCommerce e - commerce platform with AI assistants such as Claude, providing order query and management functions.

This project provides a series of Model Context Protocol (MCP) servers for enhancing the external capabilities of AI assistants, including independent implementation modules for specific functions such as educational course queries.

SwiftMCP is a Model Context Protocol (MCP) project implemented in Swift, including server and client components, used for the interaction between AI agents and Swift applications.