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Provides Large Language Models (LLMs) with project-specific, persistent memory capabilities to enhance understanding and response quality.
Manages machine learning model provenance and lineage using a Python-based service.
Provides stock data services, including historical data, fundamentals, and news.
Enables interaction with the EDUCHAIN ecosystem by providing tools to query information, perform swaps on SailFish DEX, and explore arbitrage opportunities.
Provides context-aware code assistance, explanations, and suggestions directly related to local project files.
Enables AI assistants to interact with MySQL databases through a secure, controlled interface.
Transcribes webpages, YouTube videos, and PDFs for use with Large Language Models.
Collects patent-related information from PatSnap's API for trend analysis and reporting.
Enables seamless integration between LLM applications and external data sources by implementing the Model Context Protocol (MCP).
Connects to the Amadeus API to enable flight search, booking, and analysis capabilities for AI assistants.
Provides LLM coding agents with vector search capabilities for software projects via the Message Control Protocol (MCP).
Enables AI assistants to search and access health science preprints from medRxiv.
Integrates Perplexity AI's language models with Claude using the Model Context Protocol.
Processes images using Florence-2 to extract text via OCR or generate descriptive captions.
Processes unstructured documents to enable LLMs to extract and utilize their content.
Query European financial data through an API optimized for use with AI language models.
Enables large language models to interact with and utilize REST APIs by providing configured REST APIs as context.
Enables geospatial analysis in Jupyter notebooks through a Model Context Protocol (MCP) server implementation.
Enables AI assistants like Claude to perform web searches using the Exa AI Search API.
Provides a simple interface to interact with Bybit, OKX, and Binance public API endpoints.
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