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Enables AI assistants to download and analyze YouTube video subtitles.
Orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm to produce optimally coherent responses.
Enables querying of Brazilian treasury bond data using natural language through an MCP-compatible server.
Enables querying of the PubChem database for chemical compound data and generating structure files.
Monitor Solana wallets and check market indicators using AI and Model Context Protocol (MCP).
Implements a full Model Context Protocol (MCP) server with Solana on-chain memory context capabilities.
Integrates Large Language Models with cloud infrastructure and the Model Context Protocol to enable intelligent, secure, and auditable AI agentic behavior.
Provides an MCP-compatible server with tools to query comprehensive Chinese company data, enabling seamless integration with large language models.
Provides a Flask-based server implementation for the Model Context Protocol (MCP), offering out-of-the-box security and operational features for AI agent communication.
Empower AI assistants to create, modify, and manage database diagrams programmatically through a WebSocket API.
Manages and serves a dynamic collection of AI skills, making them discoverable and usable via the Model Context Protocol.
Provides access to Wolfram Alpha's computational knowledge engine through natural language queries.
Integrate WhatsApp with applications and AI agents via a robust REST API or a specialized Model Context Protocol (MCP) server.
Provides AI assistants with institutional-grade quantitative finance tools, including real-time market data, paper trading, risk analysis, and portfolio optimization.
Provides a modern C++ implementation of the Model Context Protocol for building AI-powered applications with external tool integration.
Orchestrates interactive command-line interface agents using a tmux-backed agent pool and a Model Context Protocol (MCP) server.
Provides AI assistants with read-only access to Robinhood portfolio data for in-depth financial analysis and research.
Empower AI agents to make secure, multi-protocol payments for API access autonomously.
Provides macro-factor quantitative trading signals to AI agents through the Model Context Protocol (MCP).
Enables seamless, secure, and decentralized peer-to-peer communication for AI agents across diverse networks without central servers or public IPs.
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