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Connects Model Context Protocol (MCP) servers to OpenAI-compatible LLMs.
Streamline the deployment of applications and management of multi-cloud infrastructure for both AI agents and humans.
Enables onchain interactions for AI applications with tools to interact with the Base Network and Coinbase API.
Enables AI assistants like Claude to search and reference Apple Notes during conversations using Model Context Protocol.
Enables websites to share tools, resources, and prompts with client-side LLMs.
Serves as a comprehensive Model Context Protocol implementation for advanced AI model interaction and data integration.
Indexes local code into a graph database to provide context to AI assistants.
Centralizes and enhances AI infrastructure by acting as an intermediary for Model Context Protocol (MCP) servers.
Provides a high-performance client implementation for the Model Context Protocol (MCP) in Elixir.
Enables interactive communication between LLMs and users by facilitating prompts, chat, and notifications locally.
Enables AI assistants to control, debug, and analyze Android devices using natural language via the Model Context Protocol.
Provides a versatile chat interface that supports various AI model providers and integrates external tools via Model Context Protocol.
Enables large language models to interact with and manage Obsidian vaults through a secure and standardized Model Context Protocol interface.
Enables AI interaction with Revit for data extraction, element manipulation, and code execution.
Provides up-to-date CSS documentation from MDN and comprehensive CSS code analysis.
Extends AI capabilities by providing a powerful interface for remote control, calculations, email operations, and knowledge search.
Provides AI assistants with code library indexing and semantic search capabilities through a high-performance Model Context Protocol server.
Provides a secure, efficient, and personalized local AI chat application experience.
Connects AI tools to over 500 business and productivity applications, enabling natural language commands for real-world actions like sending emails or creating tasks.
Enables system interaction through operating system APIs for file system operations and command execution, functioning as a local office AI assistant.
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