Connect real-time cybersecurity threat intelligence to your AI workflows through standardized tools and resources. Access comprehensive IOCs, CVEs, TTPs, and threat actor data from FalconFeeds.io with seamless integration across Claude Desktop, VS Code, and other MCP-enabled applications.
mcp-meilisearch
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.
Enables high-quality AI image generation using the fal-ai/hidream-i1-full model with support for synchronous, streaming, and queue-based generation, custom image sizing, LoRA weights, and automatic local image downloads.
Enables high-quality image generation using Google's Imagen 4 Ultra model via the FAL AI platform, featuring automatic local file downloads and batch processing. It supports various aspect ratios and offers both real-time and asynchronous generation methods through the Model Context Protocol.
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.
Enables high-quality AI image generation using MiniMax (Hailuo AI) text-to-image technology through fal.ai, supporting multiple aspect ratios, prompt optimization, and both synchronous and queue-based generation with automatic local image downloads.
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.
Enables high-quality text-to-image generation and image editing using FAL AI's Reve model. Supports batch processing, multiple aspect ratios and formats, with automatic local image downloads and both real-time and async processing modes.
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.
This is my MCP server code, mainly for a learning purpose.
Provides access to FantasyPros API for retrieving sports data including news, player information, consensus rankings, and projections across NFL, MLB, NBA, and NHL.
Enables semantic search and question-answering over FAQ documents using RAG (Retrieval-Augmented Generation) with OpenAI embeddings and in-memory vector similarity.
Enables Islamic inheritance law calculations (Faraidh) including heir validation, estate distribution, and handling special cases like Aul and Radd. Supports comprehensive inheritance scenarios with detailed reporting and case management functionality.
Enables management and monitoring of farm operations including field and crop tracking, livestock monitoring, equipment management, and sensor readings through a Model Context Protocol interface built with FastMCP.
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
公开目录未提供摘要。
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.
A minimal CRUD API for items that exposes FastAPI endpoints as MCP tools, enabling natural language interaction with a database through PydanticAI agents.
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.
