Supavec MCP Server

A Model Context Protocol (MCP) server that enables AI assistants to fetch relevant embeddings and content from Supavec.

Features

• 🔍 Fetch Embeddings: Search and retrieve relevant content from Supavec files using embeddings

• 🤖 AI Integration: Works with Cursor, Claude, VS Code Copilot, and other MCP-compatible tools

• 🔑 Flexible Authentication: Support for both command-line arguments and environment variables

• ⚡ Easy Setup: One-command installation via npx

Related MCP server: Supabase MCP Server

Installation

Quick Start with npx (Recommended)

No installation required! Use directly with npx:

Global Installation

Configuration

Cursor

Add to your .cursor/mcp.json:

VS Code (Copilot)

Add to your .vscode/mcp.json:

Claude Desktop

Add to your Claude configuration:

Environment Variables

Alternatively, set your API key as an environment variable:

Then use in your MCP configuration without the --api-key argument:

Authentication

Get Your API Key

1. Visit Supavec

2. Sign up or log in to your account

3. Navigate to your API settings

4. Generate a new API key

Usage Priority

The server checks for API keys in this order:

1. --api-key command line argument (highest priority)

2. SUPAVEC_API_KEY environment variable

Available Tools

fetch-embeddings

Fetch embeddings for a file by ID and query.

Parameters:

• file_id (string, required): ID of the file to get embeddings for

• query (string, required): Query to search for in the file

Example:

list-user-files

List all files uploaded to Supavec for the current user.

Parameters:

• limit (number, optional): Number of files to fetch (default: 10)

• offset (number, optional): Offset for pagination (default: 0)

• order_dir (string, optional): Order direction for results - "asc" or "desc" (default: "desc")

Example:

Response includes:

• File ID and name

• File type and creation date

• Team ID

• Pagination information

Command Line Usage

Help

With API Key

With Environment Variable

Examples

Using with Cursor

1. Configure Supavec MCP in .cursor/mcp.json

2. Open Cursor and start a new chat

3. Ask: "Search for 'database setup' information in my Supavec file xyz789"

4. The AI will use the Supavec MCP to fetch relevant content

Using with Claude

1. Configure Supavec MCP in Claude settings

2. In a conversation, ask: "Find documentation about API endpoints in file abc123"

3. Claude will search your Supavec files and return relevant information

Troubleshooting

Common Issues

"Error: Supavec API key is required"

• Ensure you've provided an API key via --api-key or SUPAVEC_API_KEY environment variable

"Failed to fetch data: status 401"

• Your API key may be invalid or expired. Check your Supavec account settings

"Failed to fetch data: status 404"

• The file ID may not exist or you may not have access to it

Debug Mode

Run with environment variables to see more details:

Development

Requirements

• Node.js 16.0.0 or higher

• TypeScript

Setup

Testing

Contributing

1. Fork the repository

2. Create a feature branch: git checkout -b feature-name

3. Make your changes and add tests

4. Commit your changes: git commit -am 'Add feature'

5. Push to the branch: git push origin feature-name

6. Submit a pull request

License

MIT License - see LICENSE for details.

Support

• 📚 Supavec Documentation

• 🐛 Report Issues

• 💬 Community Support

Related

• Model Context Protocol

• Supavec Platform

• MCP Servers