Browserable is a web-based AI framework that empowers language models and chatbots to navigate and interact with websites as if they were human users. By generating an OpenAPI specification based on your site's content and structure, Browserable allows agents to fetch pages, follow links, click buttons, fill out forms, and extract structured responses — all via standard API calls. The platform supports dynamic content behind JavaScript, session management, pagination, and custom handlers for specialized workflows. With built-in rate limiting, authentication, and error handling, Browserable simplifies integrating real-time web browsing capabilities into AI applications, chatbots, and data pipelines.

Dendrite Vault provides a robust authentication session handler for AI Agents, ensuring secure and efficient management of authentication sessions. This extension simplifies the process of authentication, making it seamless for users to handle multiple sessions securely. By leveraging Dendrite Vault, users can ensure that their AI agents are authenticated safely and reliably. The tool is designed with user privacy in mind, offering protection of personally identifiable and authentication information.

LLM to MCP Integration Engine is an open-source framework designed to integrate large language models (LLMs) with various messaging communication platforms (MCPs). It provides adapters for LLM APIs like OpenAI and Anthropic, and connectors for chat platforms such as Slack, Discord, and Telegram. The engine manages session state, enriches context, and routes messages bi-directionally. Its plugin-based architecture enables developers to extend support to new providers and customize business logic, accelerating the deployment of AI agents in production environments.