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Fetches and reads articles from a specified Substack publication, formatting the content for use with AI assistants.
Provides current weather information for cities in Turkey through an MCP interface.
Facilitates the creation of Model Context Protocol (MCP) servers using TypeScript.
Enables connecting to Greenplum data from applications like Claude Desktop using CData JDBC Drivers.
Provides traditional Chinese lunar calendar information, including auspicious date checking, festival data, moon phases, and zodiac insights, ready for AI applications.
Equips AI assistants with comprehensive resources for Vega-Lite and Deneb, including documentation, visualization examples, and specification validation.
Enables AI assistants like Claude to manage personal expenses and finances through natural language conversation.
Develops a custom MCP server and client for concept testing using Node.js, TypeScript, and Gemini AI.
Enables AI assistants to perform accurate unit conversions and access comprehensive reference tables for various measurement systems.
Enables AI agents to efficiently fetch, track, and act on Bybit cryptocurrency exchange announcements.
Provides breakpoint-based Python debugging capabilities via API and CLI, designed for integration with AI assistants and development tools.
Integrate Pulsyn smart ring health data, including sleep, HRV, heart rate, and activity, with AI assistants.
Orchestrates pluggable AI-vision modules for precise and extensible image analysis workflows.
Orchestrates simultaneous queries across leading AI models to deliver synthesized, high-confidence responses.
Integrates real-time oil, gas, and commodity prices directly into AI models for enhanced context and decision-making.
Ingest diverse local content into a vector database to enable semantic search and provide context to large language models.
Transform documents into a searchable knowledge base, easily ingest and serve data for AI agents.
Integrates artificial intelligence agents with the complex Brazilian fiscal system, enabling natural language queries for CNPJ, NFe, NFSe, SPED, and eSocial data.
Provides a structured Z80 instruction reference dataset to AI agents and development tools.
Facilitates a high-performance, private, and local Retrieval-Augmented Generation (RAG) system specifically optimized for scientific research.
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