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Implements a Model Context Protocol (MCP) server that manages and summarizes text notes.
Empowers AI language models to interact with the LN Markets trading platform, enabling execution of trades and retrieval of financial data through natural language.
Converts audio to text using various recognition engines and supports multiple formats and languages.
Exposes the Tripleshot public API as a set of durable tools for integration with AI assistants and other applications.
Integrates the Gemini command-line interface with the Model Context Protocol, allowing other AI tools to interact with Google's Gemini models.
Develops a custom MCP server and client for concept testing using Node.js, TypeScript, and Gemini AI.
Provides a robust server for managing Markdown documents, offering CRUD operations, search, and metadata control, primarily designed for AI IDE integration.
Provides real-time information for Taiwan High Speed Rail, including timetables, station details, train statuses, and seat availability.
Enables LLM agents to securely connect to and query Snowflake databases, acting as a bridge for seamless SQL execution.
Explores Kubernetes metrics, logs, traces, and service graph data through a unified interface.
Transforms natural language commands from large language models (LLMs) into ROS commands for robot control, enabling robots to perform complex tasks and adapt to various environments.
Deploys an authentication-free Model Context Protocol (MCP) server on Cloudflare Workers for AI agent tool integration.
Enables sandboxed and secure programmatic access to filesystem operations.
Guides developers through a structured coding process, enforcing development discipline and workflow best practices.
Serves comprehensive data about Colombia, including departments, regions, and cities, via a Model Context Protocol server for educational and practical implementations.
Generates customizable MCP servers for Smithery with integrated Cursor IDE support.
Exposes Postman API requests as tools through a Model Context Protocol (MCP) server, enabling integration with AI agents and MCP clients.
Deploys and manages JavaScript applications to the cloud with AI assistance.
Enables intelligent semantic code search for enhanced development workflows within Claude Desktop.
Enables AI agents to interact with multiple EVM-compatible networks via a unified interface.
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