The HOPX MCP server is a service based on the model context protocol that allows AI assistants to execute Python, JavaScript, Bash, and Go code in isolated cloud containers, supporting data analysis and file operations.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

This project provides an MCP server for deploying code to Google Cloud Run services, supporting deployment from various sources such as AI-assisted IDEs, AI assistant applications, and proxy SDKs.

This project demonstrates a real-time multi-tool agent architecture based on LangGraph and the MCP protocol. By decoupling agent orchestration and tool execution, it realizes a modular and scalable AI system. The MCP service supports multiple transport protocols (SSE/STDIO), allows AI agents to dynamically call remote tools, and has cross-language and cloud deployment capabilities.

DuckDB MCP Server is a service that implements the Model Context Protocol (MCP), enabling AI assistants to interact with the DuckDB database via SQL, supporting queries from multiple data sources and cloud storage access.

The Unity MCP Server is a C# - based Model Context Protocol (MCP) service used to connect the Unity editor with external large - language models (LLM) or cloud - based AI agents to achieve real - time automation and intelligent interaction.

A serverless YouTube subtitle extraction service based on Cloudflare Workers, using the MCP protocol to achieve high - performance AI assistant integration

A lightweight server based on the Model Context Protocol (MCP), designed for image processing and cloud upload, supporting resizing, conversion, optimization, and uploading to multiple cloud storage services, suitable for AI assistants and automated workflows.

The Qiniu Cloud MCP service is a model context protocol server built on Qiniu Cloud products, supporting AI large model clients to access Qiniu Cloud storage, intelligent multimedia services, and CDN functions.

A Postman MCP service based on Cloudflare Worker, providing the function of accessing Postman collections and environments through the Claude AI interface, supporting operations such as collection management, environment variable configuration, and test execution.

The 360 AI Cloud Disk MCP service provides standardized cloud disk file management capabilities for AI models, supporting multiple access methods and rich file operation functions.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

A service based on the Model Context Protocol (MCP) that provides AI assistants with the ability to access and analyze AWS CloudWatch logs, supporting log search, summary generation, and cross-service correlation.

The implementation of the 360 AI Cloud Disk MCP Service allows AI models to interact with the cloud disk through a standard protocol, providing intelligent operation capabilities such as file management, upload and download, and video processing.

Context Lens is a local semantic search tool that can convert any content into a searchable knowledge base, enabling AI assistants to understand the meaning rather than just match keywords. It uses a built - in LanceDB vector database, supports local files, GitHub repositories, and URL content, does not require an API key or cloud service, and processes data completely locally.

An AI-driven research orchestration service based on Cloudflare Workers that provides comprehensive and structured research answers by intelligently analyzing queries, invoking multiple professional tools in parallel, and integrating the results.

GCP MCP is a service protocol that allows AI assistants to manage Google Cloud Platform resources through natural language interaction

The Alibaba Cloud Supabase MCP Server project connects Supabase projects with AI assistants through the Model Context Protocol standard, providing tools such as project management and database querying, and supporting the deployment and operation of Supabase services on the Alibaba Cloud platform.

A privacy - first document search server that runs entirely locally, providing semantic search functions for AI programming tools through the MCP protocol. No API keys or cloud services are required, and all data processing is completed on the user's computer.

Tiger CLI is a command - line tool for Tiger Cloud, providing database service management and query functions, and integrating an MCP server for AI assistants to use.

PolarDB-X MCP is a service that provides tools and resources, allowing AI agents to interact with Alibaba Cloud's PolarDB-X database.

A service based on the Model Context Protocol (MCP) that provides AI assistants with the ability to access and analyze AWS CloudWatch logs, supporting functions such as log search, summary generation, and error pattern recognition.

The KubeBlocks Cloud MCP Server is a service based on the Model Context Protocol (MCP) that provides seamless integration with the KubeBlocks Cloud API, enabling AI assistants to manage cloud resources through standardized tools by calling interfaces.

The OCI Pricing MCP Server provides pricing data for Oracle cloud infrastructure to AI assistants, supporting real - time queries and offline data. It includes cost estimation tools for services such as computing, storage, and databases.

File - to - Markdown service based on Cloudflare AI

A WordPress Trac data MCP service developed in TypeScript, deployed on Cloudflare Workers, providing AI assistants with comprehensive access to WordPress development data and supporting standard MCP clients and ChatGPT Deep Research functions.

The Tailpipe MCP server is an AI - driven log analysis tool that connects AI assistants with cloud/SaaS log data through the model context protocol. It supports natural language queries and analysis of various cloud service logs, and provides functions such as security incident investigation and cost - performance insights.

A curated list of hosted cloud MCP servers that provide Model Context Protocol (MCP) services accessible via simple URL endpoints to help AI applications quickly integrate external tools and data.

The Infomaniak MCP server is an interface service based on the Model Context Protocol, allowing AI assistants to manage multiple services such as domain names, email, virtual hosting, and cloud storage through the Infomaniak API.

Cloudera AI Agent Studio MCP Server is a lightweight model context protocol bridge service that can expose Agent Studio instances as a set of callable tools, supporting dynamic creation and management of workflows.

The Linode MCP Server is a protocol server that connects an AI assistant to the Linode cloud infrastructure, supporting the management of cloud resources, including multiple services such as instances, databases, and networks, through natural language conversations.

The SFCC Development MCP Server is an MCP protocol service that provides comprehensive support for Salesforce B2C Commerce Cloud development, including document query, log analysis, best practice guides, and system object definition functions, and supports AI assistant integration.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that cover a variety of tools and integrations, including browser automation, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, file systems, fintech, knowledge and memory, location services, monitoring, search, security, travel and transportation, version control, etc. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers.

A Google MCP remote service based on Cloudflare Workers, providing Google API tools such as Gmail, Calendar, and Drive, enabling seamless integration with AI clients.

AgentMode is a full - featured Model Context Protocol (MCP) server that provides an integrated data integration solution for AI development by connecting to multiple databases, data warehouses, cloud services, etc.

This is an enterprise-level MCP server that connects SAP OData services with AI capabilities, providing enhanced security, simplified configuration, modular authentication, and comprehensive cloud-native integration.

The Terraform Cloud MCP Server is an AI assistant integrated service for managing infrastructure through natural language conversations, supporting multiple MCP-compatible platforms.

This project is an example of a Confluence MCP service built on Spring Boot AI, providing integration with Confluence Cloud, supporting space management, document operations, etc., and can be tested through an MCP client.

This document categorizes and organizes various Model Context Protocol (MCP) servers to help developers integrate AI models with resources such as databases, file systems, APIs, cloud services, and automation tools.

The SnapBack MCP server is a service that provides code security analysis and snapshot management for AI tools via the model context protocol. It supports offline basic analysis and cloud-based advanced functions.