Kubernetes Multi-Cluster Manager

Salesforce

Official

Unlock powerful Salesforce org management with the Salesforce DX MCP Server, designed for seamless interaction between large language models and Salesforce environments. This developer preview offers secure, direct access to Salesforce resources without exposing secrets, using TypeScript libraries and granular org allowlisting. Its modular toolsets cover org administration, data queries, user permissions, metadata deployment, and testing. Easily extendable and compatible with various clients like VS Code, Cursor, and more, it empowers developers to perform complex tasks with natural language commands while maintaining robust security. The MCP Server streamlines Salesforce DX workflows through an efficient, secure, and flexible protocol.

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.

Cloudflare Workers

Official

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

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

Tencent EdgeOne Pages

Official Remote

Effortlessly publish HTML, folders, or zip files with instant public URLs using EdgeOne Pages MCP. This service streamlines rapid deployment of your static content via EdgeOne Pages, leveraging serverless edge functions and key-value storage for fast, reliable delivery. Users can quickly deploy content and receive shareable links, making it ideal for web developers and teams needing easy, scalable web hosting.

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.

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 SQL databases (MSSQL, MySQL, PostgreSQL) for executing queries, exploring schemas, monitoring performance, and generating reports with features like connection pooling and transaction management.

Integrates with Datadog's API to enable incident management, including listing and retrieving incident information for system monitoring and observability workflows.

Monitors ClojureScript builds in real-time, providing detailed status information including compilation status, warnings, errors, and file-specific details for verifying build success after code changes.

Integrates with the Coroot observability platform to monitor applications in real-time, analyze logs and distributed traces, manage custom dashboards, configure Prometheus and alerting systems, and perform root cause analysis for comprehensive infrastructure troubleshooting.

Lightweight server that captures and manages stdout logs from multiple processes through a named pipe system, maintaining a 100-entry log history and providing robust querying and filtering capabilities for debugging and real-time monitoring.

Provides dual-cycle metacognitive reasoning framework that detects when autonomous agents get stuck in repetitive behaviors through statistical anomaly detection and semantic analysis, then automatically diagnoses failure causes and generates recovery strategies using case-based learning.

Integrates with 17TRACK API to provide global package tracking across multiple carriers with fuzzy search for carrier identification and delivery status monitoring for e-commerce and customer service workflows.

Integrates with Datadog monitoring platform to provide access to metrics, logs, dashboards, monitors, and incidents for DevOps and SRE workflows

Provides macOS system monitoring with SQLite-based historical data storage and enhanced file search with tagging support, collecting real-time CPU, memory, disk, and network metrics while offering content-based file searching with regex support and macOS file tagging operations through native utilities like Spotlight and extended attributes.

Raygun

Official

Monitor crash reports and performance metrics for application stability.