"A guide to developing Chrome extensions" matching MCP servers:

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

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.

Enables Claude Code to use Alibaba Cloud Token Plan models via a local proxy that maps Anthropic-style model names to Alibaba IDs and provides missing endpoints like model discovery.

Enables secure, read-only querying of Google BigQuery datasets through a stateless MCP server with OAuth 2.1 authorization, designed for integration with Atlassian Rovo.

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

Enables natural-language querying and authenticated CRUD operations against SAP S/4HANA or ECC OData services through dynamic MCP tools with progressive service and entity discovery.

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

An MCP server that automates the backup of Cloudflare projects to a GitHub repository, providing a systematic way to preserve Cloudflare configurations and assets.

MCP server for Zhipu GLM chat completions via AceDataCloud. Provides tools for chat completions, model listing, and usage guide.

Enables AI agents to inspect and configure Chrome Enterprise Premium environments, including DLP rules, content detectors, connector policies, browser telemetry, and license management.

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

A protocol server that enables interaction with self-hosted Supabase instances directly from development environments, allowing database introspection, management of migrations, auth users, and storage through MCP clients like IDE extensions.

Enables an agent to guide secure onboarding, provision required Cloud.ru resources through APIs, stage and import sales CSV data into ClickHouse, and publish and verify revenue and contribution-margin dashboards in Managed BI with cost approval.

A basic example of developing and running serverless MCP using Netlify Functions.

A free, open-source (MIT) secret broker for AI agents: agents reference secrets by name and Portunus injects the value only at the execution boundary (env var, file or exec argv), never into the model's context. Ships as a stdio MCP server and CLI with local-encrypted, GCP Secret Manager and read-only Chrome saved-login backends.

Enables creating AWS cost estimates through natural language, generating shareable calculator.aws links, and retrieving actual calculated costs via headless Chrome, without requiring AWS credentials.

A basic example of developing and running serverless Model Context Protocol (MCP) using Netlify Functions, demonstrating how to deploy and access MCP functionality through customized URLs.

Enables read-only access to Autobase Console projects, clusters, environments, operations, PostgreSQL versions, and extensions through configurable MCP tools. Supports paginated listing and filtering, with limited redacted operation logs and no write or arbitrary execution tools.

Enables daily check-in, points and task queries for Huawei Cloud Developer Growth Center via a Chrome extension and Node.js bridge.

MCP server enabling AI assistants to manage Microsoft Advertising (Bing Ads) campaigns, including campaigns, ad groups, keywords, and ad extensions via a clean set of tools.

A guide to deploy a remote MCP server on Render.com and connect it to Anthropic and OpenAI agents, enabling cloud-hosted tool access for AI models.

A basic example of developing and running serverless MCP using Netlify Functions, including a customized URL for accessing the function.

Provides cryptographically signed, tamper-evident compute usage receipts via a Model Context Protocol server, exposing tools to record usage, verify receipts, list the ledger, and verify ledger integrity without requiring any account, API key, or single cloud provider.

A Python-based MCP server that enables AI agents to query the Microsoft 365 Roadmap programmatically.

MCP server providing deterministic cost anomaly detection for cloud billing and auditable architecture risk scoring, enabling AI agents to identify waste and risk with explainable rules.

Read-only MCP server for XServer API, enabling Claude to check server status like disk usage, domains, mail, and cron via natural language.

Provides secure, read-only access to Snowflake data warehouses, enabling AI assistants to explore schemas, write queries, and analyze data with SSO authentication and smart caching.

Enables AI agents to access Cloudflare Workers AI for serverless LLM chat completions, text embeddings, and image generation via MCP tools.

A code-mode MCP server for the Unraid 7.2+ GraphQL API that exposes search and execute tools, allowing LLM agents to introspect and call any GraphQL field via sandboxed JavaScript.

Enables MCP-compatible AI clients to retrieve FinOps-aligned knowledge and runbooks on demand, covering cloud cost optimization across AWS, Azure, GCP, and OCI, AI inference economics, Kubernetes, data platforms, allocation, chargeback, anomaly management, and waste detection.