"Logseq - A Knowledge Management and Note-Taking App" matching MCP servers:

Integrates Azure Cost Management APIs via MCP, enabling cost queries, forecasts, budgets, and Advisor recommendations through natural language in compatible clients.

An MCP server for unified cost tracking and analysis across AWS, OpenAI, and Anthropic. It enables users to query expenditures, compare costs across providers, and analyze usage trends through natural language.

Manages Supabase projects, databases, edge functions, secrets, and branches across organizations using the Supabase Management API with 24 tools.

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

MCP server for managing devices via JAMF Pro and Microsoft Intune APIs, enabling AI assistants to query and control device management tasks.

A TypeScript-based MCP server that enables interaction with Azure Table Storage directly through Cline. This tool allows you to query and manage data in Azure Storage Tables.

Enables enterprise-managed authorization for MCP on Azure App Service, with deployable Entra OAuth and a local EMA ID-JAG lab exposing whoami and authorization_model tools.

Enables AI agents to manage Apple App Store Connect through the official API, including apps, metadata, reviews, TestFlight, provisioning, users, and reports.

Enables integration between Claude AI and Nasuni environments to monitor appliance health, manage volumes and shares, and generate comprehensive infrastructure reports. Users can interact with the Nasuni Management Center through natural language to track performance metrics and summarize system notifications.

A VMware ESXi/vCenter management server based on MCP (Machine Control Protocol), providing simple REST API interfaces for virtual machine management.

Deploys the Databricks AI Dev Kit MCP server as a Databricks App, exposing over 80 tools for interacting with workspace services like SQL warehouses, Unity Catalog, and AI/BI dashboards. It enables users to manage and query Databricks resources via natural language in the AI Playground using a Streamable HTTP transport.

An MCP Server providing access to Google's Firebase API, allowing natural language interaction with Firebase services and resources.

A Model Context Protocol (MCP) server for managing app publishing on Huawei AppGallery Connect. Integrates directly with Claude Desktop or any MCP-compatible client.

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 AI agents to interact with the app via MCP tools and resources, supporting self-improvement through goal-setting and metrics tracking on Cloudflare Workers.

A hardened MCP server that enforces authentication via Easy Auth and OAuth, manages secrets with Key Vault, and restricts network access using VNet integration and API Management, enabling secure tool invocations through a fully private infrastructure.

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.

An MCP server that enables interaction with the Firebase App Check API, allowing users to verify and manage the authenticity of requests to Firebase backend services through natural language.

An MCP server that enables interaction with Google's My Business Account Management API, allowing users to perform account management operations through natural language interactions.

Enables management of Amazon Bedrock Knowledge Bases including creation, data source configuration, document ingestion, and RAG (Retrieval-Augmented Generation) queries with support for multiple embedding models and custom parsing/chunking strategies.