"Serverless" matching MCP servers:

Official remote MCP server for RunComfy. 31 tools across three products: Serverless API (ComfyUI) deployment management and async inference, Model API hosted-model inference, and Trainer API LoRA training jobs.

Enables interaction with InfluxDB 3 (Core/Enterprise/Cloud Dedicated/Clustered/Cloud Serverless) through MCP clients, providing tools for querying, writing, managing databases, tokens, and more.

A Model Context Protocol server that enables agent applications like Cursor and Cline to integrate with Alibaba Cloud Function Compute, allowing them to deploy and manage serverless functions through natural language interactions.

A basic serverless MCP server using LanceDB to store and retrieve documents via three tools: ingest, retrieve, and get table details.

MCP server that enables AI agents to interact with Spica servers, managing databases, serverless functions, storage, authentication, auditing, debugging, and version control.

Automatically converts OpenAPI specifications into a Model Context Protocol (MCP) server instance.

AI-native open-source backend-as-a-service. Manage Postgres with RLS, auth, file storage, serverless TypeScript functions, durable objects, realtime, KV, AI gateway, and RAG via MCP, either HTTP at /mcp on a self-hosted instance or stdio with npx @butterbase/mcp.

The Dodo Payments MCP Server integrates with agentic frameworks to provide a lightweight, serverless-compatible interface for AI-driven payment operations like billing, subscriptions, and customer management. It enables autonomous agents to securely act on behalf of users using the Dodo Payments

Enables interaction with Momento Cache to manage cache entries and perform administrative tasks like creating, listing, or deleting caches. It provides tools for getting and setting values with configurable TTLs through a serverless caching infrastructure.

Enables MCP-capable agents to manage Meshive GPU Cloud resources, including account, workspaces, pods, storage, GPUs, templates, serverless deployments, tasks, assets, machines, and billing history.