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Enables AI assistants to control Sonic Pi programmatically through OSC messages.
Enables security scanning functionality via a standalone Model Context Protocol server.
Provides an MCP server to streamline interactions with FFmpeg for media processing tasks.
Enables integration with Zendesk to manage and interact with tickets programmatically.
Tests backend APIs for security vulnerabilities using a Model Context Protocol (MCP) server.
Enables conversion between various geographic data formats, coordinate systems, and spatial references.
Provides unified Apple Human Interface Guidelines and technical documentation for all Apple platforms via the Model Context Protocol.
Extends Burp Suite's Model Context Protocol integration with AI clients by adding enhanced scan and crawl capabilities.
Integrates tens of thousands of Alibaba Cloud OpenAPI services directly into AI applications and workflows through the Model Context Protocol (MCP).
Manages feature flags and configurations within ConfigCat through its public management API.
Empowers AI programming assistants with direct, real-time access to the comprehensive MQL5 official documentation.
Empowers AI agents to interact with the Android development environment, offering tools for asset conversion and real-time diagnostics.
Enables natural language management of Keyboard Maestro macros through an MCP server, integrating AI assistance for automation.
Render interactive Mermaid diagrams with live preview, theme switching, and fullscreen editing.
Provides a local Retrieval Augmented Generation (RAG) CLI and MCP server to index documents and code, enabling questions via terminal or agent tools.
Facilitates agentic AI interaction with the UI5 Web Components framework to enhance developer workflows.
Integrate ZenRows Universal Scraper API to enable AI assistants to scrape web content, including JavaScript-rendered and anti-bot protected sites.
Empower large language models to process and understand audio by converting raw sound into structured analytical data.
Exposes sktime's native registry and semantics to Large Language Models, enabling discovery, reasoning, composition, and execution of time series workflows.
Indexes local files and codebases with hybrid search (BM25 + embeddings) to retrieve only relevant content for AI tools, enabling significant token savings.
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