"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 MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

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

A local MCP server that integrates FastMCP with OpenAI to enable natural language queries for current weather, forecasts, and currency conversion using ExchangeRate-API and Open-Meteo.

Enables querying real-time adoption metrics, trends, and comparisons for popular AI coding tools like OpenAI SDK, Anthropic SDK, Cursor, GitHub Copilot, and LangChain through natural language.

Enables comprehensive Google Meet and Calendar management through Google Calendar API v3 and Google Meet API v2, supporting calendar event creation with Meet links, space management, transcription, recording, attendance tracking, and meeting moderation controls.

A TypeScript-based MCP server for handling a simple notes system with NextJS that supports creating and summarizing text notes using MCP concepts.

A zero-configuration tool that automatically converts FastAPI endpoints into Model Context Protocol (MCP) tools, enabling AI systems to interact with your API through natural language.

A multi-tool AI assistant system that uses Model Context Protocol to connect language models with various tools, including math calculations and weather information.

Provides Clockchain's verified-time primitives, notarization, smart-contract scheduling, audit trails, and agent identity verification to any MCP client.

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

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

Enables AI coding assistants to inspect FastAPI applications, routers, and Pydantic models, including generating TypeScript interfaces and Zod schemas and discovering backend routes without hallucination.

Enables control and management of a self-hosted media stack (Radarr, Sonarr, Prowlarr, SABnzbd, qBittorrent) through natural language via MCP.

An MCP server providing 82 tools for persistent memory, governance, and consciousness continuity for AI instances. Enables local-first, runtime-reflexive operation with cross-device access and recursive self-awareness.

Exposes FastAPI routes as MCP tools with auto-discovery, Pydantic schema extraction, and built-in observability.

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 FastAPI library that provides Model Context Protocol tools for endpoint introspection and OpenAPI documentation, allowing AI agents to discover and understand API endpoints.

A minimal CRUD API for items that exposes FastAPI endpoints as MCP tools, enabling natural language interaction with a database through PydanticAI agents.

FastAPI Todo API with an MCP server for managing todos, deployable to Render, AWS App Runner, or ECS.