"Serverless" matching MCP servers:

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

Serverless HomeBox-compatible family asset ledger with MCP tools for creating, searching, updating, archiving assets, and importing/exporting CSV/TSV.

Enables Claude to query Neo4j databases using natural language, running on Cloudflare Workers for serverless deployment.

A serverless backend that enables natural language querying of a Postgres database, converting user questions into SQL and returning structured, UI-friendly responses.

A basic example MCP server deployed as a Netlify serverless function using Express. Demonstrates how to run Model Context Protocol servers in a serverless environment with proper routing configuration.

A read-only MongoDB MCP server designed for serverless deployment on Vercel, providing secure, limited access to MongoDB databases for AI assistants.

Enables AI assistants to manage Google Cloud Dataproc clusters and jobs through a standardized interface. Supports cluster creation/deletion, job submission (Spark, PySpark, Hive, etc.), and serverless batch operations.

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.

Enables AI agents to manage databases, deploy serverless JavaScript functions, and handle cloud file storage on the Codehooks.io platform. It supports full CRUD operations on collections, key-value storage with TTL, and comprehensive system logging.

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.

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.

Provides read-only access to PostgreSQL databases via MCP, enforcing least-privilege roles, row-level security, masked views, and SQL AST guardrails to prevent data leakage and unauthorized operations, enabling AI agents to safely query sensitive production data.

Turns coding agents into full-stack builders by enabling backend features like auth, databases, file storage, serverless functions, and LLMs to be added to apps in seconds.

Enables interaction with TiDB serverless databases through the Model Context Protocol. Allows users to connect to and manage TiDB cloud databases using natural language through Claude Desktop.

Enables users to interact with the Sigma Computing API to analyze documents and manage analytics data via a serverless AWS architecture. It features document search and analytics capabilities with DynamoDB-backed caching for optimized performance.

Enables LLM clients to inspect and query your own GCP and AWS infrastructure, including BigQuery/Athena, CI build systems, container/serverless runtimes, and their logs through configurable environments.

A serverless, multi-tenant implementation of MCP servers that runs on Vercel with fluid compute mode, allowing multiple users to connect to the same endpoint while maintaining session state through Redis.