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Demonstrates the creation and usage of MCP clients and servers using Python.
Enables querying live Azure Active Directory data from Claude Desktop using natural language through a Model Context Protocol (MCP) interface.
Construct a local client for the Model Context Protocol (MCP) using LlamaIndex to interact with local servers.
Integrates the SearXNG API and Puppeteer to provide powerful web search and live web content processing capabilities for agentic systems.
Provides an intelligent search and retrieval system for Pybricks documentation and code examples.
Enables building Retrieval Augmented Generation (RAG) capabilities for PDF documents.
Exposes MariaDB databases and vector stores through a Model Context Protocol (MCP) interface for AI assistant integration.
Generates and transforms recipes using AI, catering to dietary preferences and nutritional goals.
Model systemic risk contagion across financial networks to identify critical nodes, exposure chains, and cascade failure probabilities.
Manages PostgreSQL databases tailored for AI agents, providing tools for provisioning, querying, and schema evolution without complex setup.
Unifies hybrid search, code graph, and semantic memory into a fully local, low-resource code intelligence server designed for AI agents.
Provides AI-readable access to 42 verified Tunisian statutes, enabling direct querying from MCP-compatible clients like Claude and Cursor.
Provides an MCP server to access the FamilySearch API for searching places, standardizing dates, and finding person records.
Provides perception, computation, and memory tools for analyzing Taiwan stock using Elliott Wave Theory, specifically designed to support AI applications.
Provides AI-native access to MetricDuck's comprehensive financial data API for AI assistants.
Provides comprehensive nuclear regulatory intelligence for plant operators, insurers, decommissioning firms, and environmental analysts via a direct AI agent call.
Automates multi-pillar ESG risk assessment and compliance intelligence for supply chains by orchestrating 15 public regulatory and intergovernmental data sources.
Manages vector-based skills in Qdrant, enabling AI agents to semantically search, load, and manipulate knowledge.
Empower AI models to conduct offensive security testing and attack simulations against target systems.
Offers AI-assisted guidance for German farm businesses on crop planning, financial benchmarks, German taxation, tenancy law (Pachtrecht), and succession planning, leveraging data like KTBL.
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