"Serverless" matching MCP servers:

Instant web hosting for AI agents. Publish a live site in one call, no account needed.

An MCP server that enables AI agents to interact with Modal, allowing them to deploy apps and run functions in a serverless cloud environment.

Enables interaction with the RunPod REST API to manage GPU pods, serverless endpoints, templates, network volumes, and container registry authentications through natural language.

Provides AI agents with cloud-based execution environments through Alibaba Cloud's Wuying infrastructure, enabling browser automation, file operations, and terminal access in secure, serverless cloud environments.

Headless, peer-to-peer context synchronization for local AI agents. It enables multiple LLM agents to share structured context and resolve state conflicts over a serverless P2P network.

Enables AI agents to drive a remote headless Chromium browser through Playwright on Vercel serverless functions, supporting navigation, snapshots, clicking, form filling, key presses, scrolling, text extraction, screenshots, and JavaScript evaluation. Browser state is carried in an encrypted client-side session token, so no database or third-party browser service is required.

Enables MCP-aware agents to drive Modal serverless compute, including GPU workers and headless Chromium for web browsing with screenshots.

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.

A serverless implementation that allows deploying a remote Model Context Protocol server on Cloudflare Workers without authentication requirements, enabling AI models to use custom tools.

A lightweight template for deploying stateless Model Context Protocol (MCP) servers on Cloudflare Workers using the Agents SDK. It provides a simple way to wrap MCP tools into Worker-compatible fetch handlers for serverless tool-calling capabilities.

A serverless deployment for Model Context Protocol server on Cloudflare Workers without authentication requirements, enabling users to create custom AI tools accessible via Cloudflare AI Playground or Claude Desktop.

A basic example of a serverless Model Context Protocol (MCP) server implemented using Netlify Functions with Express, enabling AI agents to interact with custom capabilities.

A serverless MCP implementation on Cloudflare Workers that allows deploying custom AI tools without authentication requirements.

A serverless implementation of the Model Context Protocol (MCP) that runs on Netlify Functions, allowing developers to build and deploy MCP-compatible services with minimal configuration.

A serverless tool that allows deployment of authentication-free Model Context Protocol servers on Cloudflare Workers, enabling AI assistants to utilize custom tool functionalities.

A serverless-accelerated hybrid development platform that minimizes dependencies in the local development environment and organically combines a virtual operating system kernel inside a web browser with the local host resources.

A serverless MCP (Model Context Protocol) implementation that can be deployed on Cloudflare Workers without authentication, allowing clients like Claude Desktop to connect to custom AI tools.

A serverless Model Context Protocol implementation on Cloudflare Workers that enables AI tools without requiring authentication, allowing connection from AI Playground or Claude Desktop.

A serverless implementation of Model Context Protocol on Cloudflare Workers that enables connecting AI assistants like Claude to custom tools without authentication.

A serverless solution for deploying Model Context Protocol (MCP) servers on Cloudflare Workers without authentication requirements, enabling developers to create and access custom AI tools through the MCP standard.