"Developer tools for a NextJS and FastAPI tech stack with Firebase and Vercel" matching MCP servers:

Enables interaction with Firebase projects and services, including deployment, database management, authentication, and local emulation, through natural language.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

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

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

The Firebase MCP server provides a standardized interface to interact with Firebase services, including Firebase Authentication, Firestore, and Firebase Storage.

Next.js-based MCP server with OAuth 2.1 authentication, deployable on Vercel, supporting SSE and Streamable HTTP transports for various clients.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Enables management of Vercel projects, deployments, domains, environment variables, and teams via the Vercel REST API.

A reference MCP server for observing Vercel projects and deployments over stdio. It provides read-only tools to list and fetch details of Vercel projects and deployments.

A comprehensive MCP server with 70 tools covering the entire Vercel REST API, enabling management of deployments, projects, environment variables, domains, DNS, aliases, certificates, logs, checks, webhooks, edge config, and teams via a Vercel access token.

A server providing a unified interface to interact with Firebase services, including Authentication, Firestore, and Storage.

Provides a Model Context Protocol server to integrate Vercel API for managing projects, deployments, environment variables, and domains.

An MCP server that provides tools for interacting with Vercel API, enabling management of deployments, DNS records, domains, projects, and environment variables through natural language.

A template for deploying MCP servers on Vercel with serverless functions. Includes example tools for rolling dice and getting weather data to demonstrate basic functionality and API integration patterns.

Enables interaction with Vercel API to manage deployments, domains, projects, and environment variables.

A general-purpose MCP server for Firebase that enables natural language interaction with Firestore, Auth, Storage, and Cloud Functions logs through schema-driven validation and context-efficient tools.

Enables AI assistants to work directly with Firebase realtime database

A bridge that enables Large Language Models to read from and write to Firebase Firestore collections through Model Context Protocol (MCP) tools.

Enables managing a Vercel account through MCP tools such as listing projects, viewing deployments and logs, and redeploying. Includes an OAuth layer so Gemini Spark can connect securely.

Enables AI assistants to interact with Vercel API for managing projects, deployments, domains, and environment variables.

An MCP Server providing access to Google's Firebase API, allowing natural language interaction with Firebase services and resources.

A powerful Model Context Protocol (MCP) server enabling seamless Vercel project management, including deployments, domains, environment variables, and team configurations through Cursor's Composer or Codeium's Cascade.

Enables interaction with Vercel's REST API through natural language. Facilitates managing deployments, projects, domains, environment variables, teams, and more.

Enables secure, read-only access to Firebase Firestore collections and Storage buckets for Digital Asset Management systems. It allows users to query assets, versions, and comments, and search storage files using flexible filters through standard MCP tools.

Enables managing Vercel projects, deployments, build logs, domains, and environment variables through natural language in Microsoft Copilot Studio, using streamable HTTP with API key authentication.

A deployment template for running Model Context Protocol servers as Vercel Functions. It provides a foundation for developers to build and host custom tools, prompts, and resources with optimized execution for MCP client integration.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

A template for deploying MCP servers on Vercel with serverless functions. Includes example tools for rolling dice and fetching weather data to demonstrate basic tool implementation and API integration patterns.

A production-ready MCP server for Vercel Serverless Functions using Streamable HTTP Transport, offering built-in tools for calculations, text analysis, and time utilities, with easy deployment to Vercel.

An MCP server that enables interaction with the Firebase App Check API, allowing users to verify and manage the authenticity of requests to Firebase backend services through natural language.