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Augments Claude with Python code execution, shell command capabilities, and file manipulation.
Provides AI models access to fictional cat data via the Model Context Protocol.
Retrieves Wikipedia summaries for AI assistants using a FastAPI server.
Enables chat completion requests with citations from the Perplexity API.
Enables large language models to directly access and analyze data from Amazon for e-commerce businesses.
Enables querying of live Xero data from Large Language Models like Claude Desktop using natural language through a Model Context Protocol (MCP) interface.
Delivers custom prompts to guide bot interactions within an MCP client environment.
Enables natural language queries to live BigCommerce data via a read-only Model Context Protocol (MCP) server, integrating with tools like Claude Desktop.
Provides comprehensive financial data, including real-time market information, historical prices, and economic indicators from Yahoo Finance.
Integrate and leverage Google's powerful Gemini multimodal AI models for diverse generative and analytical applications.
Enables natural language interaction for CRUD operations across heterogeneous databases like MySQL and PostgreSQL.
Build Streamlit-based conversational bots leveraging LangGraph's prebuilt agents for data access.
Tracks student learning progress and schedules review sessions using a personalized knowledge graph with spaced repetition.
Provides deterministic operational risk scoring for over 28 stablecoins based on 7 distinct signals.
Facilitate clear communication and collaboration among decentralized AI agents through a semantic interoperability layer.
Provides unified access to over 600 AI models for text, image, video, audio, and music generation via a single API key through the Model Context Protocol.
Empower AI assistants with natural language stock screening and technical chart pattern detection across over 11,000 US stocks.
Enables AI agents to autonomously organize and manage their long-term memory using plain markdown files, eliminating the need for embeddings or vector databases.
Integrates local ChatLab history with AI assistants for natural language querying and analysis.
Transforms your filesystem into a living knowledge graph, providing semantic search, entity lifecycle management, and AI agent integration.
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