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Executes JavaScript code using the Bun runtime environment.
Provides a model context server for Axiom, designed for use with the Zed AI assistant.
Facilitates management and control plane operations for Azure DevOps.
Implements a Model Context Protocol (MCP) server for connecting local data sources and services to AI models like Claude.
Enables advanced database operations, schema management, and data manipulation for PocketBase through the Model Context Protocol (MCP).
Refines AI-generated content to sound more natural and human-like.
Provides image generation functionality using the Ideogram API through a Model Context Protocol (MCP) server.
Installs and manages Model Context Protocol (MCP) servers for Claude and other LLM clients within Visual Studio Code.
Provides a comprehensive guide for verifying Model Context Protocol (MCP) server installation on Windows.
Enables AI assistants to perform professional astronomical queries by providing integrated access to a wide range of astronomical data through the astroquery-cli tool.
Manages a simple notes system, allowing creation, storage, and summarization of text notes via a Model Context Protocol (MCP) server.
Transforms OpenAPI specifications into an MCP server for seamless API interaction and development.
Integrates with Blackduck Coverity to programmatically manage issues and retrieve diagnostic information.
Enables AI assistants to interact with Google Cloud Platform services, primarily for log analysis and root cause investigation.
Orchestrates real-world actions like file management, Python code execution, web scraping, and shell commands via lightweight Model Context Protocol servers.
Provides real-time information on Singapore hawker centre closures and cleaning schedules using official government data.
Provides AI-powered predictive maintenance, parts inventory optimization, and regulatory compliance tracking for airline operations.
Enables AI assistants to streamline procurement and contract management, handling requests, suppliers, quotes, and purchase orders.
Provide AI agents with expressive, human-like voices through multi-voice synthesis, real-time streaming, SSML, emotional speech, and sound effects.
Integrates AI assistant and personal trainer data to streamline fitness tracking and goal achievement.
Unifies multiple Model Context Protocol servers into a single, efficient access point for diverse tools and commands.
Provides a comprehensive platform to view and interact with Kubernetes clusters through a dashboard, REST API, and AI-enabled Model Context Protocol (MCP) server.
Provides comprehensive knowledge and decision support for Coordinate Reference Systems (CRS), particularly focused on Japanese geodetic data.
Facilitates building, proving, and formalizing mathematical theorems and code within the Lean 4 ecosystem using Mathlib.
Manages eQSL.cc interactions, including downloading incoming eQSLs, verifying QSOs, and checking Authenticity Guaranteed (AG) status.
Enables AI assistants to interact with SQL Server databases through a standardized model context protocol.
Provides a trusted capability marketplace for AI agents to access verified tools and data without direct integrations.
Provides a Model Context Protocol (MCP) server for integrating with Qonic, enabling robust project and design management.
Empowers AI agents with tools to interact with Azure DevOps services and local Git repositories.
Streamline AI agent interaction with multiple Model Context Protocol servers through a single, aggregated proxy.
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