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Integrates ElevenLabs Text-to-Speech with Cursor via the Model Context Protocol (MCP).
Enables filesystem operations using natural language commands processed by a local LLM.
Automates the conversion of API documentation into cURL commands using a self-learning AI system.
Emulates a Swagger Petstore API using a dynamic Model Context Protocol (MCP) server.
Provides a simple echo service, returning messages it receives for diagnostic and testing purposes within the MCP framework.
Provides centralized knowledge management for projects, enabling storage, search, and maintenance of project-specific information that persists across sessions.
Enables searching and discovering existing Model Context Protocol servers by live scraping the official GitHub repository.
Track and analyze the scale of AI-generated code by counting lines of code, comments, and blank lines across various programming languages.
Facilitates AI-powered video generation, replica management, conversational AI, lipsync, and speech synthesis via an MCP server.
Manages e-commerce products with full CRUD operations, AI-powered descriptions, and robust database integration.
Injects engineering standards and architectural decisions into LLM reasoning processes with session memory and multi-persona guidance.
Empowers AI tools to securely query a read-only PostgreSQL database, providing direct access to Avanti Fellows DB Service data.
Enhances large language model reasoning by detecting cognitive traps, providing verification, and compressing context without additional LLM calls.
Enables AI assistants to create, read, and manage Altium Designer component libraries with IPC-7351B compliant footprints.
Provides LLMs with structured access to Scalene's comprehensive CPU, GPU, and memory profiling for Python and C/C++ bindings.
Enable AI assistants to manage Gandi domains and LiveDNS records programmatically.
Provides an open-source marketplace for Claude Code plugins, enabling developers to publish, install, and earn USDC.
Empowers AI agents to optimally utilize ScraperAPI's web scraping and data collection tools with intelligent parameter selection and cost management.
Optimize AI coding agent context windows by providing local RAG memory, reducing prompt tokens with hybrid semantic and keyword search.
Visualize, plan, and manage projects locally with AI agent collaboration, offering Kanban boards, wikis, and architectural views in a glassmorphic UI.
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