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Provides n8n workflow templates for building various AI agents.
Documents potential implementations for Nostr-compatible relay and client software.
Build a persistent semantic graph from conversations with AI assistants using standard Markdown files.
Enhances AI model reasoning by making it recursively evaluate and refine its responses through self-argumentation.
Connects Ableton Live to Claude AI, enabling prompt-assisted music production and session manipulation.
Automates software development task management for AI agents, facilitating chain-of-thought reasoning and code consistency.
Enables protocol-level interaction with a Model Context Provider server, allowing users to send commands, query data, and interact with server resources.
Integrates any LLM supporting function calling capabilities into a desktop application.
Integrate and manage MCP (Model Context Protocol) servers within Neovim, offering a centralized configuration and intuitive UI.
Enables interaction with native Apple apps like Messages, Notes, and Reminders through the Model Context Protocol.
Enables Claude Desktop to directly implement features, fix bugs, and refactor codebases on your computer, eliminating the need to copy code into chat windows.
Manage Model Context Protocol servers with ease.
Enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
Install other MCP servers via Claude by specifying their npm or PyPi package names or local paths.
Connects to the Perplexity API, enabling real-time, web-wide search within the Model Context Protocol ecosystem.
Provides a command-line interface for interacting with Model Context Protocol (MCP) servers using stdio and HTTP transport.
Enables creating, editing, and manipulating PowerPoint presentations through the Model Context Protocol.
Scans Model Context Protocol (MCP) servers for common security vulnerabilities like prompt injections and tool poisoning.
Connects Language Servers to Model Context Protocol (MCP) clients, providing advanced code analysis and manipulation capabilities to LLMs.
Simplifies the development, running, evaluation, and orchestration of LLM-based agents using YAML and a CLI.
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