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

Visual tech-stack inventory of any codebase: languages, frameworks, databases, AI SDKs, infra.

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

Detects the technology stack behind any website, including frameworks, CMS, analytics, and more, via a single POST request.

A FastAPI-integrated MCP server that provides mathematical operations like addition and multiplication using Pandas for data manipulation. It serves as a comprehensive example for implementing different tool registration patterns and real-time communication via Server-Sent Events.

Detects what technologies (CMS, frameworks, analytics, etc.) a website uses by fingerprinting its HTTP response and markup, returning confidence-scored results for single or bulk URL queries.

Provides developer tools for searching PyPI packages, fetching GitHub repository info, searching Stack Overflow, and checking Python package compatibility using public APIs with no API keys required.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

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

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

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

Exposes FastAPI reference documentation as MCP tools, enabling LLMs to query FastAPI docs during development for accurate code generation.

An MCP server that recommends tech stacks for your project. Describe what you're building and get a recommended stack with reasoning, tradeoffs, and what each layer should use.

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.

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.

Provides access to developer roadmap content from roadmap.sh, allowing users to list available roadmaps and fetch detailed Markdown content for specific career paths.

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 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.

A wrapper for mcp-remote that provides secure authentication for protected MCP servers using Adobe IMS or Okta OAuth flows. It features automated token management, validation, and background refreshing for seamless access to remote resources.

A Model Control Protocol server template deployed on Vercel that demonstrates MCP implementation with a dice rolling tool, serving as a foundation for building custom MCP servers.

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

Exposes FastAPI endpoints as Model Context Protocol tools, letting MCP clients discover and invoke them over streamable HTTP or SSE while preserving existing routing, auth options, and OpenAPI-to-tool conversion. Works across mcp 1.12+ and 2.x with built-in input validation and tool-level error reporting.

Enables AI assistants to work directly with Firebase realtime database

Enables serving REST APIs and MCP AI tools simultaneously from a single server, including converting existing FastAPI applications into MCP tools and defining endpoints that work as both REST routes and agent-callable tools.

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

An MCP Server that provides a conversational interface to the UK Open Banking account information API, allowing agents to interact with bank account data through natural language commands.

A minimal Model Context Protocol server built with FastAPI that provides a basic "Hello World" resource and tool. Serves as a starting point for building and validating MCP client integrations with richer resources and tools.

A powerful context management system that maintains persistent context across coding sessions, helping development teams track project structure, dependencies, and progress.

Enables supervised creation of tracking stack resources—WhatConverts accounts/profiles, GA4 properties, and GTM containers—with dry-run-by-default writes, duplicate-name refusal, rate limiting, and an append-only action log.

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.

Provides AI assistants with real-time access to FastAPI documentation, enabling search, browsing, code examples, and comparisons.