Memgraph has introduced the MCP Client within Memgraph Lab, enhancing interoperability by allowing data from various systems to be seamlessly connected and orchestrated without the need for custom integrations. This new feature aims to solve the problem of siloed systems where valuable data resides in isolation across different tools like Stripe, Elasticsearch, or Slack. By complying with the Model Context Protocol (MCP), the MCP Client enables users to connect to multiple MCP servers directly from Memgraph Lab, facilitating real-time data exchange and centralized interaction. This development is particularly beneficial for AI workflows, as it allows for the integration of diverse data sources to provide meaningful context for large language models (LLMs) and supports applications such as fraud detection, log correlation, medical research, and social media analysis. The launch of the MCP Client is part of Memgraph's broader strategy to transform Memgraph Lab into a comprehensive, connected workspace, with future updates planned to enhance collaborative capabilities and integration with LLM models.