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Official Cloudflare Model Context Protocol implementation for deploying MCP servers to 300+ edge locations worldwide with zero cold starts, automatic scaling, and built-in DDoS protection on Cloudflare's global network.

Official Vercel adapter for easily spinning up Model Context Protocol servers on Next.js, Nuxt, Svelte and other frameworks with optimized concurrency, dynamic scaling, and instance sharing for production deployment.

Serverless data platform MCP server providing low-latency Redis and Kafka integration with per-request pricing, scaling to zero when not in use, perfect for variable workload MCP implementations.

Official Cloudflare MCP server providing access to over 2,500 Cloudflare API endpoints across DNS, Workers, R2, Zero Trust, and all Cloudflare products. Uses innovative Codemode technique for scalable API integration running in isolated Dynamic Worker sandboxes.

Provides MCP access to AlloyDB for PostgreSQL, enabling AI agents to query and manage fully managed, PostgreSQL-compatible databases with columnar engine for high-performance transactional and analytical workloads. Features serverless scaling, IAM authentication, full SQL operations, and integration with Google Cloud services. Ideal for AI-driven database operations and agent querying; as an official Google-managed GA server, it surpasses generic self-hosted DB MCPs in reliability, maintenance, and scalability.

MCP server implementation integrating Firebase services like Firestore, Auth, and Functions. Allows AI models to access Firebase backend via standard MCP protocol. Serverless deployment with real-time capabilities. Compared to generic BaaS adapters, optimized specifically for MCP tool calls. Use cases: AI agents needing scalable storage, authentication, and real-time data syncing.

Serverless Functions Made Simple, platform for running functions as MCP services.

Complete serverless application lifecycle with SAM CLI support.

Manage Neon serverless Postgres databases: create branches, run queries, manage schemas. Suited for serverless teams with branching for testing.

An MCP server for providing serverless cloud infrastructure for AI agents, enabling scalable agent deployment and execution.

Server implementation for Google BigQuery integration that enables direct BigQuery database access and querying capabilities through MCP.

Connect to Cloudflare Workers from Claude Desktop. Enables AI assistants to interact with Cloudflare Worker deployments, configurations, and APIs through the Model Context Protocol.

Create CRUD operations for serverless cron jobs through Cronlytic MCP Server, enabling AI assistants to schedule and manage automated tasks.

Enables AI agents to securely perform payment operations via a lightweight, serverless-compatible interface to the Dodo Payments API. Provides streamlined payment processing capabilities for AI workflows.

MCP Server for managing Modal applications, enabling AI assistants to deploy, configure, and monitor serverless cloud workloads through the Modal platform.

MCP server for querying and analyzing data with MotherDuck and local DuckDB, enabling AI agents to analyze duckdb-based datasets efficiently.

MCP server for interacting with the Neon serverless Postgres platform, enabling AI agents to manage and query serverless PostgreSQL databases.

Serverless distributed database MCP server for Fauna, providing AI agents with global distribution, ACID transactions, and GraphQL access for modern serverless applications.

Model Context Protocol server for Modal's serverless GPU cloud platform, providing AI agents with tools to manage model deployments, container execution, and serverless compute through natural language.

Serverless PostgreSQL MCP server for Neon, providing AI agents with instant database provisioning, branching, and auto-scaling capabilities for modern application development.

Serverless MySQL platform MCP server for PlanetScale, providing AI agents with database branching, non-blocking schema changes, and horizontal scaling based on Vitess technology.

Official RunPod MCP server that connects AI tools to RunPod's GPU cloud infrastructure using the Model Context Protocol for managing serverless GPU deployments, containers, and ML workloads.

Serverless data platform MCP server for Xata, combining PostgreSQL with search, file attachments, and branching for modern application development with AI-powered insights.

Developer platform MCP server for Zeabur, providing AI agents with one-click deployment, automatic scaling, and integrated services for modern application development.

Scalable serverless MCP server platform for multi-cloud environments built with AWS Lambda, Step Functions, Google Workflows, and Azure Durable Functions for event-driven control planes.

Serverless deployment platform integration enabling AI agents to create projects, build and manage deployments using the Netlify API and CLI. Provides serverless hosting with zero infrastructure overhead through conversational commands.

Serverless AI agent Model Context Protocol implementation using LangChain.js and Azure integration for intelligent burger restaurant ordering, demonstrating practical MCP integration patterns for real-world APIs.

An MCP Server for AppDrag, connecting its serverless development platform to MCP agents so they can manage and orchestrate serverless resources.