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Enables querying of AWS DynamoDB databases using natural language requests via the Model Context Protocol (MCP).
Bridges Cloudera AI's Agent Studio with Model Context Protocol (MCP) clients, exposing Agent Studio instances as callable tools.
Enables Model Context Protocol (MCP) clients to interact with the IQ AI Agent Tokenization Platform (ATP).
Connect AI models to external data and services via a scalable Model Context Protocol server.
Enables interaction with Google's Gemini AI models via a Model Context Protocol (MCP) server.
Enables natural language interaction with the Bitrix24 REST API for streamlined CRM data management.
Provides advanced web crawling and Retrieval-Augmented Generation (RAG) capabilities for AI agents and coding assistants.
Provides comprehensive access to Hong Kong Legislative Council's open data through a remote server deployed on Cloudflare Workers.
Orchestrates secure Retrieval-Augmented Generation (RAG) with role-based access control, ensuring sensitive data protection and compliance for enterprise knowledge bases.
Dynamically generates chart configuration options for various charting libraries based on input data.
Integrates medical imaging systems (DICOM/Orthanc, FHIR, RIS) with AI assistants and large language models using the Model Context Protocol.
Provides a minimal Model Context Protocol server for demonstrating AI tools, resources, and prompts using the Smithery SDK.
Provides comprehensive cryptocurrency market data and technical indicators to AI assistants, enabling sophisticated financial analysis.
Connects Large Language Models (LLMs) to Qdrant vector databases, enabling semantic search and retrieval through the Model Context Protocol.
Provides multi-API access to Bitcoin Ordinals inscriptions, runes, BRC-20 tokens, collections, marketplace data, and rare sats.
Integrates AI agents with a vast library of over 200,000 specialized community skills, enabling intelligent code generation and best practice application across diverse domains.
Exposes the AXLE (Axiom Lean Engine) CLI as tools for AI assistants, enabling remote Lean 4 proof engineering capabilities.
Provides cross-tool memory for AI agents by stitching context, decisions, failed experiments, and warnings across various development tools and sessions.
Bridges AI coding assistants with the AutoHotkey v2 ecosystem on Windows by exposing specialized tools for context, execution, and live debugging.
Provides fast, local code intelligence and navigation for AI agents across multiple programming languages.
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