Salesforce

Netlify

Official

Control your Netlify projects effortlessly using natural language through AI agents with Netlify MCP Server. This server follows the Model Context Protocol to enable code agents to create, deploy, and manage sites, configure access controls, handle environment variables, and more—all via simple prompts. It acts as a bridge between AI clients and Netlify’s API and CLI, empowering seamless automation and resource management. Whether retrieving team data or managing forms and extensions, Netlify MCP Server streamlines your workflow by integrating powerful AI-driven project control in an accessible, standardized way.

Azure All

Official

Supercharge AI agents with seamless access to Azure services using Azure MCP Server. This project enables powerful automation and management of Azure resources with tools for databases, storage, monitoring, security, and best practices. Easily interact with services like Cosmos DB, SQL, Key Vault, Service Bus, and more—all within compatible AI platforms. Azure MCP Server is in Public Preview and rapidly evolving, making it a versatile solution for both developers and enterprise environments looking to integrate Azure functionality.

Control and monitor K8s clusters for management and debugging.

Tencent CloudBase

Official

Enables AI systems to deploy, monitor, and manage full-stack applications on Tencent CloudBase through tools for cloud environments, databases, functions, hosting services, and storage resources.

Integrates with AWS SDK to execute SQL queries against Athena databases, enabling large-scale data analysis and business intelligence for AWS data lakes.

Cloudflare Workers

Official

Enables MCP capabilities in Cloudflare Workers for deploying low-latency, scalable AI services at the network edge.

Integrates with Coolify to enable natural language management of servers, projects, applications, and databases through the Coolify API, allowing users to perform DevOps operations without leaving their conversation interface.

Integrates with the Terraform Registry API to enable provider lookup, resource usage examples, module recommendations, and schema details retrieval for infrastructure-as-code development.

Provides a bridge to Kubernetes multi-cluster environments for managing distributed resources through kubectl commands, service account connections, and seamless cross-cluster operations without switching contexts.

Auth0

Official

Integrates with LLMs and AI agents, allowing you to perform various Auth0 management operations using natural language. For instance, you could simply ask Claude to create a new Auth0 app and get the domain and client ID.

GitHub

Official Remote

Extend your developer tools with the GitHub MCP Server—a powerful Model Context Protocol server enhancing automation and AI interactions with GitHub APIs. It supports diverse functionalities like managing workflows, issues, pull requests, repositories, and security alerts. Customize available toolsets to fit your needs, enable dynamic tool discovery to streamline tool usage, and run the server locally or remotely. With read-only mode and support for GitHub Enterprise, this server integrates deeply into your GitHub ecosystem, empowering data extraction and intelligent operations for developers and AI applications. Licensed under MIT, it fosters flexible and advanced GitHub automation.

Unlock seamless design-to-code with Framelink Figma MCP Server, letting AI coding tools access your Figma files directly. It simplifies Figma API data to supply only relevant design layouts and styles, boosting AI accuracy in implementing designs across frameworks. Specifically built for use with tools like Cursor, it transforms design metadata into precise code in one step. This server streamlines the workflow by providing clean, focused context, enabling faster and more reliable design-driven development. Enjoy a powerful bridge between design and coding that enhances productivity and code quality with minimal fuss.

Microsoft Docs

Official Remote

Access official Microsoft documentation instantly with the Microsoft Learn Docs MCP Server. This cloud service implements the Model Context Protocol (MCP) to enable AI tools like GitHub Copilot and others to perform high-quality semantic searches across Microsoft Learn, Azure, Microsoft 365 docs, and more. It delivers up to 10 concise, context-relevant content chunks in real time, ensuring up-to-date, accurate information. Designed for seamless integration with any MCP-compatible client, it helps AI assistants ground their responses in authoritative, current Microsoft resources for better developer support and productivity.

Desktop Commander

Official

Desktop Commander MCP transforms Claude Desktop into a powerful AI assistant for managing files, running terminal commands, and editing code with precision across your entire system. It supports in-memory code execution, interactive process control, advanced search and replace, plus comprehensive filesystem operations including reading from URLs and negative offset file reads. With detailed audit and fuzzy search logging, it enables efficient automation, data analysis, and multi-project workflows—all without extra API costs. Designed for developers seeking smarter automation, it enhances productivity by integrating all essential development tools into a single, intelligent chat interface.

Integrates with Ollama for local large language model inference, enabling text generation and model management without relying on cloud APIs.

Interact with Figma design files through the Figma REST API for design analysis, feedback, and collaboration.

Enables building, running, and debugging iOS and macOS applications through Xcode with tools for project discovery, simulator management, app deployment, and UI automation testing.

Control browsers to perform sophisticated web interactions and visual tasks.

Sentry

Official Remote

Streamline Sentry API integration with this remote MCP server middleware prototype. sentry-mcp acts as a bridge between clients and Sentry, supporting flexible transport methods and offering tools like the MCP Inspector for easy service testing. Inspired by Cloudflare’s remote MCP initiative, it helps developers adapt and debug workflows, making Sentry interaction smoother for both cloud and self-hosted environments.

Install and configure additional MCP servers dynamically.