"A web framework for building APIs using FastAPI" matching MCP servers:

A framework for building MCP servers with standardized tools, authentication, logging, and multiple transports. Enables rapid development of secure, auditable MCP tools.

A starter template for building Model Context Protocol (MCP) servers, enabling developers to create and add custom tools that can be integrated with Claude Desktop.

A configurable MCP server that enables creating custom analysis tools through JSON configuration, with built-in frameworks for error handling, self-evaluation, security guardrails, and output artifacts.

Exposes Django REST Framework APIs as MCP tools, enabling natural language interactions with your data models such as CRUD operations and custom actions, with automatic schema generation from DRF serializers.

Turns a shopping list FastAPI app into an MCP server, enabling a LangGraph chatbot to manage shopping lists via natural language.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Connects Claude Desktop to BULC fire simulation software for AI-powered building design, enabling natural language creation of rooms, walls, and multi-story structures with spatial awareness and undo/redo support.

Exposes your FastAPI endpoints as Model Context Protocol tools with authentication, preserving schemas and documentation.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Exposes FastAPI endpoints as Model Context Protocol (MCP) tools while preserving existing authentication, schemas, and documentation. It enables seamless integration of FastAPI services into MCP ecosystems using a native ASGI transport layer.

Whatsapp-Web MCP

MCP server that lets Claude read and send WhatsApp messages using a genuine WhatsApp Web client behind a code-enforced human-behavior middleware for safety.

A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.

Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).

A Model Context Protocol server that enables generating and managing Robot Framework test automation with SeleniumLibrary, including test case generation, page object models, and advanced web testing capabilities.

An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.

Bridges the editing capabilities of an already-open DingTalk document in the browser to any MCP host via standard stdio, forwarding tools to the page's internal MCP server over a local WebSocket. Supports read/write operations through suggested edits, pairing-based security, and zero runtime dependencies.

Helps users decide what to eat by randomly selecting meals from a database of 100+ options or a custom list using an interactive spinning wheel widget. It supports cuisine filtering and provides an engaging visual interface to resolve mealtime indecision.

Enables Claude to manage Apple Reminders on macOS, providing full CRUD operations such as listing, searching, creating, updating, and deleting reminders.

Enables AI agents to manage n8n workflow automation instances through tools for workflow CRUD operations, execution monitoring, and webhook triggering. It facilitates programmatic interaction with n8n instances via the n8n API with AI-optimized descriptions and error handling.