"Interacting with a webpage using a browser plugin and live browser instance" matching MCP servers:

Enables LLMs to configure Tencent Cloud resources such as DNSPod DNS records and CVM/Lighthouse security group rules by controlling a locally logged-in Edge browser over CDP, leveraging existing login state without needing API keys or credentials.

Enables LLM agents to operate Cloud.ru MLSpace public API v2 through 17 action-based tools covering training, inference, notebooks, TensorBoards, workspaces, allocations, queues, Docker Registry, data transfer, and resource catalog, with read-only mode, dry-run, and confirmation gates for irreversible actions.

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

A CAP plugin that automatically generates MCP servers from your CAP services, transforming OData services into AI-accessible resources, tools, and prompts with minimal configuration.

MCP server that lets AI assistants scaffold, build, register, query, and diagnose Microsoft Dataverse plug-ins directly from conversation, orchestrating Power Platform CLI and Azure CLI.

Enables AI agents to manage Tencent Cloud Live services through natural language, including domain management, stream pulling/pushing, live stream control, and transcoding template operations.

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.

An MCP server that gives an AI agent controlled access to a Selectel cloud account: OpenStack cloud servers, S3 object storage, and account billing.

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

Deploys a remote MCP server on Cloudflare Workers without authentication, enabling custom tool definitions and remote connections.

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.

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.

Enables querying and management of live Firebase projects, providing access to Firestore collections and documents. It also allows users to retrieve and filter Cloud Function logs directly through the Model Context Protocol.

Enables AI assistants to search and create venues and artists, and create events on the BNDY platform via AWS Lambda.

A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.

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.

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.

Host apps built with AI: deploy to a live HTTPS URL, custom domains, managed sign-in, secrets and backups. Hosted remote MCP server at https://softkiln.com/mcp/ — this repository is its plugins and skills.

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