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What is an MCP Server?

An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools. MCP is an open protocol that standardizes how applications provide context to LLMs.

What is AgentMode?

AgentMode is an all-in-one Model Context Protocol (MCP) server that connects your coding AI to dozens of databases, data warehouses, data pipelines, cloud services, and more. It streamlines your development workflow by providing seamless integration with various data and cloud platforms.

How do I install AgentMode?

You can install AgentMode either through the VS Code extension or as a Python package. Detailed instructions for both methods are provided in the documentation.

What connections does AgentMode support?

AgentMode supports a wide range of connections, including databases (MySQL, PostgreSQL), data warehouses (Snowflake, BigQuery, Redshift), and data pipelines (Airflow, Prefect). Support for cloud services (AWS, Azure, Google Cloud) is coming soon.

How do I configure connections in AgentMode?

  1. Start the MCP server and go to http://localhost:13000/setup.
  2. Click on the icon of the connection you’d like to set up.
  3. Fill out the connection details and credentials (all credentials are stored locally on your machine).
  4. Any required dependencies will be installed on-the-fly.

Where are my connection credentials stored?

All connection credentials are stored locally on your machine for security.

What if I encounter issues or have questions?

You can consult the documentation, open an issue in the GitHub repository, or chat with the team on the Discord server.

How can I contribute to AgentMode?

You can contribute by adding more connectors & tests. Visit the GitHub repository for details.

Does AgentMode integrate with UBOS Platform?

Yes, AgentMode integrates with UBOS Platform. UBOS provides a comprehensive environment for building, deploying, and managing AI Agents, while AgentMode provides the critical data connectivity that these Agents need to perform effectively.

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