"Features and Effects of CherryStudio" matching MCP servers:

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

Stateless Streamable HTTP MCP endpoint with OAuth 2.1 authentication via Cloudflare Workers, supporting PKCE, DCR, and token introspection.

Enables AI assistants to interact with the QuantConnect cloud platform for algorithmic trading. Supports creating and managing trading strategies, running backtests, deploying live algorithms, and performing comprehensive trading operations through the QuantConnect API.

Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Enables sending emails through AWS Simple Email Service with support for single emails, bulk personalized emails, and template management. Deployed on Cloudflare Workers for fast, global edge performance with full TypeScript type safety.

A deployable MCP server template for Cloudflare Workers that provides Google OAuth authentication and comprehensive analytics tracking of tool usage, performance metrics, and user behavior.

Governed Kubernetes operations for AI agents with 15 MCP tools, audit logging, policy engine, and safety features.

Enables AI assistants to interact with and manage Kubernetes clusters, supporting operations on pods, deployments, services, configmaps, secrets, namespaces, metrics, and events with built-in safety features for destructive actions.

A Model Context Protocol server that enables interaction with self-hosted Supabase instances, allowing developers to query database schemas, manage migrations, inspect statistics, and interact with Supabase features directly from MCP-compatible development environments.

Implementation of Model Context Protocol (MCP) server that provides tools for accessing Google Cloud's Vertex AI Gemini models, supporting features like web search grounding and direct knowledge answering for coding assistance and general queries.

Provides comprehensive management of Microsoft 365 services including Exchange, SharePoint, Teams, Azure AD, Intune device management, security & compliance frameworks, and universal access to 1000+ Microsoft Graph API endpoints with advanced features like batch operations, delta queries, and real-time webhooks.

A Model Context Protocol server for Microsoft SQL Server and Azure SQL Database with permission-based access modes (read-only, DML, full) and security features like SQL classification and connection locking.

An implementation that enables AI assistants to interact with Kubecost cost management platform through natural language, providing access to budget management and cost analysis features.

A Model Context Protocol server implementation providing standardized access to Xero's accounting and business features, enabling operations like contact management, invoice creation, and chart of accounts management through MCP.

Enables complete Vultr cloud infrastructure management through natural language commands, providing 335+ tools across 27 services including compute, DNS, Kubernetes, databases, and networking. Features smart identifier resolution allowing users to reference resources by human-readable names instead of UUIDs.

Enables deep integration with Google Workspace for AI assistants, allowing for document creation, spreadsheet manipulation, and file management. It supports advanced features like template processing, comment thread management, and cell formatting.

Enables AI agents to deploy and manage static websites hosted in Russia, with features like instant deployment, custom domains, and access control.