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.

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.

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.

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.

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.

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.

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.

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.

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.

Build an MCP server using Cloudflare Workers to enable interaction between AI assistants and services

MCP Connect is a local tool designed to connect Stdio-based MCP servers with cloud AI services, enabling interaction between cloud and local resources through protocol conversion and secure tunnels.

This is a comprehensive collection of Model Context Protocol (MCP) servers, covering multiple categories such as AI services, art and culture, browser automation, cloud platforms, cloud storage, command lines, communication, customer data platforms, data science tools, databases, developer tools, file systems, finance, games, knowledge and memory, location services, marketing, monitoring, notes, other tools and integrations, research and data, search, security, social media, system automation, travel and transportation, version control, and workflow automation.

Transcribe MCP is an AI-driven automated transcription tool that supports fast and high-quality multi-language audio-to-text conversion, provides local and cloud services, and can be integrated with various AI assistants.

The LRC-MCP Server is a project that provides model context services for LoadRunner Cloud. It supports programmatic access to LRC resources and test data, facilitating the construction of performance engineering workflows, dashboards, and AI integrations.

Cloudflare AI is a project containing various packages and demo applications for clients to consume Cloudflare AI services, managed using Nx and Changesets.

MCP Server provides AI assistant connection services for Atlassian products (Jira and Confluence), enabling seamless interaction with Atlassian Cloud through standard protocols

Qiniu Cloud MCP Service is a protocol server based on Qiniu Cloud products, supporting AI large model clients to access Qiniu Cloud's storage, intelligent multimedia, and CDN services through this service.

The Wangsu Cloud MCP Server project is built on the Model Context Protocol (MCP), supporting access to Wangsu Cloud storage and intelligent multimedia services through AI large model clients.