# Antigravity Features and Practical Usage
🚀 A "USB-C port for AI" that safely connects your agent to your databases and internal tools—that is Antigravity's MCP.
📌 Title and Feature URL
Title: MCP
URL:
📝 Overview
Antigravity supports the Model Context Protocol (MCP), a standard that lets the editor securely connect to your local tools, databases, and external services. MCP acts as a "USB-C port for AI," standardizing how AI agents and large language models plug into different data sources.
🔧 How It Works
MCP works as a standardized plug-in mechanism:
- MCP is an open standard that lets AI agents securely connect to external tools and data sources.
- Antigravity includes an MCP Store where you can search for and install the service you need.
- Connection details (such as a Project ID) are entered through a simple form, and credentials—passwords or IAM credentials—are stored securely.
- For example, the BigQuery remote MCP server enables running queries, getting metadata, and listing resources.
- BigQuery's MCP uses OAuth 2.0 with IAM for authentication and authorization, supporting Google Cloud identities.
🛠 Practical Usage
- Search the MCP Store for the service you need, such as "BigQuery," and click Install to begin setup.
- Enter connection details like your Project ID in the form and register credentials securely.
- Once connected, ask in natural language to inspect a table's schema, then have the agent generate a script from the result.
- Mix and match local-process and remote-host MCP configurations as needed.
🎯 Use Cases
- Install BigQuery from the MCP Store, inspect a billing table's schema, and generate a FinOps script.
- Connect to an internal database and build queries from natural-language questions.
- Have the agent understand your data platform's structure via metadata and resource listings.
- Build automation workflows that span local tools and external services.
⚠️ Caveats
- MCP grants the agent access to external data, so least-privilege IAM scoping is a prerequisite.
- Credentials are stored securely from the form, but review the permission scope of each service you connect carefully.
- Service-specific auth (OAuth 2.0 / IAM) and billing terms, as with BigQuery, should be confirmed before adoption.
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