How to Use the Supabase Vector MCP in Claude Code

Q: How do I run Supabase Vector searches using Claude Code?

Run matchvectors from your terminal command line. You must provide the RPC function name and an embedding array as arguments. The output is machine-readable, making it perfect for automation.

Q: How can I check for schema changes with Supabase Vector using Claude Code?

Start by calling listtables. This tool instantly lists all available tables in the entire Supabase project. It's a critical step before any deployment or data manipulation.

Q: Is Supabase Vector suitable for large batch inserts when using Claude Code?

Yes, use inserttablerows. You feed it a JSON array of row objects, and the MCP Server handles the bulk insertion into your designated table. This is highly efficient for DevOps scripting.

Execute Supabase Vector searches and database management from the terminal.

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Setup Supabase Vector with Claude Code

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Perform Semantic Searches via MCP Server

Need to find related data? Use `match_vectors` to run vector similarity search via Postgres RPC. You pass the required function name and your embedding array, and it outputs the top K matching records. This is perfect for CI/CD pipelines or cron jobs because you just pipe the output directly into other scripts. The MCP Server handles all the heavy lifting.

Manage Table Data in Claude Code

Getting data from a specific table? Use `query_table_rows`, giving it the table name and any select/limit parameters you need. It returns clean, actionable JSON output that your shell script can parse. Want to write new records? `insert_table_rows` accepts a JSON array of row objects, letting you push batches of data from your terminal commands.

Audit and Structure Data with Claude Code

Before making changes, list everything. Run `list_tables` to get an immediate manifest of all tables in the Supabase project. Know your scope first. If you need a single record for verification, use `get_table_row`, passing the table name and column value. It's fast and keeps your shell scripting tight.

Setup guide

Set up Supabase Vector MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see supabase-vector-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Supabase Vector transactions." It will automatically discover and invoke the available Supabase Vector tools.

Terminal

claude mcp add --transport http supabase-vector-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Supabase Vector MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "supabase-vector-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Supabase Vector. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Supabase Vector MCP in Claude Code

Run `match_vectors` from your terminal command line. You must provide the RPC function name and an embedding array as arguments. The output is machine-readable, making it perfect for automation.

It manages structured relational and vector embeddings stored in standard database columns. Any write action touches the row data; `delete_table_rows` is irreversible, so double-check your commands.

Start by calling `list_tables`. This tool instantly lists all available tables in the entire Supabase project. It's a critical step before any deployment or data manipulation.

Yes, use `insert_table_rows`. You feed it a JSON array of row objects, and the MCP Server handles the bulk insertion into your designated table. This is highly efficient for DevOps scripting.

The server touches structured relational and vector embeddings in standard columns. The specific data type affected by row deletion or retrieval is the column value, which must be provided for `get_table_row` and `delete_table_rows`.

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