"How to connect with my Notion account" matching MCP servers:

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.

CLI + MCP toolkit for Anypoint Platform that enables deploying applications, tailing logs, pulling metrics, and managing API specs with production safety nets.

Enables an AI agent to pack a local folder and deploy it as a live static website at a public URL, with no account required for the first publish. Also supports checking site activation, listing existing sites with their status and views, and recovering access to a site whose key was lost.

Enables AI agents to manage Huawei AppGallery Connect apps, including uploads, releases, reviews, and reports, and to search HarmonyOS official documentation.

MCP server for the Wasabi WACM Connect API, enabling management of account hierarchy, storage, and billing data through Claude with 18 read-only and 12 opt-in write tools.

Enables AI coding agents to use several Netlify accounts simultaneously by running the official Netlify MCP server once per account and adding an account argument to each tool. It supports routing reads across one, multiple, or all accounts while keeping changes scoped to a single account and storing tokens in the OS credential store.

An MCP server that enables AI assistants to interact with Amazon Connect contact centers, providing 88 tools, 91 configuration templates, and multi-region support.

Enables deploying an MCP server to Azure that exposes CRM account planning tools to Copilot, with sample or Salesforce data, supporting read-only or gated writes.

An MCP server that lets an AI build hours of operation, queues, routing profiles, and real IVR flows from plain English, diagram them in chat, validate them with the platform's own flow validator, and prove them with simulated test calls. It is deliberately unable to go live on its own — no dialing, no number association, no deletes — so a human always makes the final connection.

A Model Context Protocol (MCP) server for Apple's App Store Connect API. Manage your iOS, macOS, tvOS, and visionOS apps directly from Claude, Cursor, or any MCP-compatible client.

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

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

A template for deploying and monetizing MCP servers on Apify, supporting stdio and streamable HTTP transports with authentication and pay-per-event billing.

Enables AI assistants to access App Store Connect data including financial metrics, subscription analytics, app performance data, and revenue insights. Provides real-time iOS app metrics through secure API integration with rate limiting and comprehensive reporting capabilities.

A remote MCP server deployed on Cloudflare Workers with OAuth, enabling tools like math operations and integration with Claude Desktop via SSE.

An open standard server implementation that enables AI assistants to directly access APIs and services through Model Context Protocol, built using Cloudflare Workers for scalability.

Enables automatic weather information retrieval through a custom MCP server integrated with OpenAI using Cloudflare tunnels. Demonstrates seamless function calling between OpenAI and custom MCP tools without manual intervention.

A tool that allows deployment of a Model Context Protocol server on Cloudflare Workers without authentication requirements, enabling users to create and use custom AI tools via the Cloudflare AI Playground or Claude Desktop.

Demonstrates how to secure an MCP server with OAuth 2.1 using AWS Cognito, with support for dynamic client registration and client ID metadata documents.

Unifies local MCP servers into a single secure Cloudflare Tunnel endpoint, making them accessible to MCP clients like Notion and Claude. Supports HTTP/SSE/stdio servers, built-in file system tools, bearer authentication, and one-click Windows setup.

A quickstart template to build and deploy a remote MCP server on Azure Functions using Python, secured with keys and HTTPS.

Enables remote MCP connections with GitHub OAuth authentication, providing tools like add, userInfoOctokit, and image generation (restricted) deployed on Cloudflare Workers.

A quickstart template for building and deploying secure, remote MCP servers to the cloud using Azure Functions and Node.js/TypeScript. It features integrated blob storage for snippet management and supports advanced security options like OAuth and VNET isolation.

A Node.js-based remote Model Context Protocol (MCP) server that runs on Azure Container Apps, allowing different AI models and tools to communicate with each other in a serverless environment.

Enables building and deploying custom tool, resource, prompt, and interactive weather app endpoints on serverless infrastructure, with local debugging, built-in authentication, API Management security, and network isolation.

Enables deploying a remote MCP server with OAuth on Cloudflare Workers, allowing MCP clients like Claude Desktop to connect remotely.

Enables developers to build, run locally with debugging, and deploy to the cloud custom remote MCP endpoints hosted on Azure Functions, with built-in Microsoft Entra authentication. Sample projects demonstrate snippet CRUD and QR code tools, resource templates, prompt workflows, and an interactive weather demo UI.

Enables developers to build and deploy custom tool, resource, and prompt integrations to the cloud using serverless functions, with local debugging and built-in authentication.

Publishes what an AI made — a page, a markdown or PDF doc, or a whole site — to a live HTTPS link. Runs locally over stdio from the @drop2run/mcp npm package, or hosted at https://mcp.dropto.run/mcp for chats that connect by URL.

Provides AWS service recommendations based on use case descriptions and allows browsing AWS services organized by categories. Helps users discover the most suitable AWS services for their specific technical requirements.