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Enables AI assistants to control Sonic Pi programmatically through OSC messages.
Enables the construction of intelligent, multi-agent systems with a modular, extensible framework.
Analyzes text documents by counting words and characters.
Enables AI assistants to interact with Heptabase backup data for searching, retrieving, analyzing, and exporting whiteboards and cards.
Simulates quantum circuits with noise models and integrates with Model Context Protocol (MCP) clients.
Enables LangChain ReAct agents to utilize Model Context Protocol (MCP) server tools.
Enables web-based intelligent agents to interact with MCP Servers via stdio and HTTP Server-Sent Events (SSE).
Provides optimized access to Windows Subsystem for Linux (WSL) files from Windows.
Provides encryption, decryption, hashing, and encoding functionalities through a Model Context Protocol (MCP) server.
Connects LangChain ReAct Agents to any Model Context Protocol (MCP) server.
Builds proof-of-concept, stateless servers without requiring code or hosting.
Enables interaction with the Bluesky social media platform.
Provides a self-hostable sandbox environment for securely executing commands from MCP clients and AI agents.
Creates a secure, standardized bridge between law firms' document management systems and AI assistants.
Enables AI agents to securely and efficiently execute cryptocurrency trading operations on the Binance exchange via the Model Context Protocol.
Connects to the xAI/Grok image generation API, providing endpoints for text and image analysis using Grok models.
Simulates a virtual pet experience powered by the Model Context Protocol, allowing users to care for and interact with a digital companion.
Enables AI models to securely access and read local files using the Model Context Protocol (MCP).
Analyzes website performance using Google's PageSpeed Insights API, providing detailed metrics and optimization suggestions.
Enables debugging of Go programs through integration with the Model Context Protocol (MCP).
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