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Scaffold new Model Context Protocol (MCP) servers with a structured development protocol.
Reduces language model token consumption by efficiently caching data between interactions.
Enables MCP clients to coordinate with other agents in virtual rooms using the Room protocol.
Provides access to organizational Sharepoint data using the Model Context Protocol.
Enables AI agents to securely purchase goods and services using Fewsats.
Locates nearby places using IP-based geolocation and the Google Places API.
Empowers large language models with visual and auditory perception, enabling natural human-computer interactions.
Enhances AI model reasoning by implementing structured, retrieval-augmented thinking processes.
Enables Large Language Model (LLM) agents to interact with local filesystems and web resources through defined operations.
Enables access to Oracle databases via the Model Context Protocol.
Control Three.js source code with a basic server implementation.
Connects Limitless Pendant data to AI tools via the Model Context Protocol, enabling AI apps to interact with your Lifelog.
Track personal finances and spending habits through natural language conversations with an LLM.
Enables AI assistants to leverage human input via Amazon Mechanical Turk.
Enables interaction with Reddit through Claude and Cursor, providing tools for reading, analyzing, creating, and voting on content.
Builds high-performance Model Context Protocol (MCP) servers using Bun and the Elysia web framework to expose resources, tools, and prompts to LLMs.
Enables AI assistants to execute terminal commands on a system through a secure shell interface.
Connects Claude Desktop to Agent-to-Agent protocol agents through a lightweight Python bridge.
Queries flight information, weather data, and flight comfort metrics from Variflight.
Manages personal dotfiles configuration for a consistent development environment across different machines.
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