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Provides seamless access to the Fake Store API for AI assistants with 18 CRUD tools for managing e-commerce data including products, carts, and users. Perfect for e-commerce demos, testing, and learning MCP development with zero configuration required.

Enables high-quality AI image generation with superior text rendering using the fal-ai/ideogram/v3 model. Supports advanced style control, custom dimensions, color palettes, reference images, and queue-based generation with automatic local image downloads.

Enables text-to-image generation using the fal.ai GPT image-1 API. It provides a tool to generate images with customizable parameters like size, quality, and background settings via natural language prompts.

Enables querying and analyzing Falco security events from Falcosidekick UI through MCP tools. Supports filtering events by time windows and retrieving full event details for security monitoring and incident investigation.

An MCP server that integrates fal.ai's image generation and editing capabilities into MCP-compatible clients. It enables text-to-image generation, style application via LoRAs, and image editing using natural language instructions.

Provides access to the fal-ai/recraft/v3 image generation model for creating high-quality images with advanced style controls including realistic, digital illustration, and vector art styles, plus color guidance and local image download capabilities.

Provides access to Reve text-to-image AI model for generating high-quality images with accurate text rendering and strong aesthetic quality. Automatically downloads generated images to local storage with support for multiple aspect ratios and output formats.

Provides access to FantasyPros API for retrieving sports data including news, player information, consensus rankings, and projections across NFL, MLB, NBA, and NHL.

Farnsworth gives Claude persistent memory and autonomous agent capabilities. It runs locally and provides Hierarchical Memory (Working -> Episodic -> Archival), a Multi-Model Swarm (combining Ollama models for better reasoning), and specialized agents for Web Browsing, Vision (CLIP), and Voice (Whis

An MCP server that gives Claude Code IDE-level intelligence for FastAPI projects — semantic code navigation, safe renaming, route inspection, dependency trees, and Pydantic model analysis. Instead of Claude reading files blindly, it calls structured tools backed by Jedi (Python language server) and Python's AST.

Enables natural language interaction with FastAPI applications through Google's Gemini AI using MCP tools. Provides CRUD operations for user management and application health monitoring through conversational prompts.

A REST API built with FastAPI that exposes endpoints via Model Context Protocol (MCP), allowing clients to interact with CRUD operations through MCP interfaces.

Enables Gemini AI to interact with a FastAPI application through MCP tools for user management, task management, and dice rolling functionality. Provides natural language access to REST API endpoints including CRUD operations, health checks, and application statistics.

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.

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

Fastapi MCP Server 3b7bfcda

FastAPI MCP Server は、FastAPI を用いた MCP (Model Context Protocol) サーバーです。 このプロジェクトは、各種ツールやデータソースへのアクセスを統一的に実現することを目指します。

Wraps a FastAPI application as an MCP server, enabling user and task management operations through Gemini CLI tool calling with full CRUD functionality.

Production-ready API server template integrating FastAPI with Model Context Protocol (MCP) for LLM integration, structured logging, and comprehensive testing.

A minimal FastAPI implementation that mimics Model Context Protocol functionality with JSON-RPC 2.0 support. Provides basic tools like echo and text transformation through both REST and RPC endpoints for testing MCP-style interactions.