Skip to main content
Glama

Supavec MCP Server

by supavec
# CLAUDE.md This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. ## Project Overview This is a Model Context Protocol (MCP) server that enables AI assistants to interact with Supavec's embeddings API. The server provides two main tools: - `fetch-embeddings`: Retrieves relevant content from Supavec files using embeddings - `list-user-files`: Lists all files uploaded to a user's Supavec account ## Commands ### Build & Development ```bash # Build the project (compiles TypeScript to build/ directory) npm run build # Build and watch for changes during development npm run watch # Test the server with MCP Inspector npm run inspector # Test the CLI directly npm run build && node build/index.js --help ``` ### Running the Server ```bash # With API key argument node build/index.js --api-key your_api_key # With environment variable SUPAVEC_API_KEY=your_key node build/index.js # Show help node build/index.js --help ``` ## Architecture ### Entry Point (`src/index.ts`) - Handles CLI argument parsing and API key validation - Creates and starts the MCP server - API key priority: `--api-key` argument > `SUPAVEC_API_KEY` environment variable ### Core Components **Server Setup (`src/utils/server.ts`)** - Creates MCP server instance using `@modelcontextprotocol/sdk` - Configures server with stdio transport for MCP communication - Sets up tool handlers **Tool Definitions (`src/tools/index.ts`)** - Defines the two MCP tools with their schemas - Handles tool execution by calling Supavec API endpoints - Returns structured JSON responses to AI assistants **API Layer (`src/utils/api.ts`)** - Centralized HTTP client for Supavec API (`https://api.supavec.com`) - Handles authentication via `authorization` header - Provides error handling and type-safe responses **CLI Utilities (`src/utils/cli.ts`)** - Parses command line arguments (supports `--api-key` and `--help`) - Displays help information ### Type Definitions (`src/types/index.ts`) - `Embeddings`: Response structure for embedding queries - `UserFile`: Individual file metadata from Supavec - `UserFilesResponse`: Paginated response for file listings - `UserFilesRequest`: Request parameters for file listings ## MCP Integration The server implements the Model Context Protocol standard, allowing it to work with: - Cursor IDE (via `.cursor/mcp.json`) - Claude Desktop - VS Code with Copilot - Other MCP-compatible tools The server uses stdio transport for communication and provides structured tool responses in JSON format. ## Key Patterns - TypeScript with ES2022 modules - Functional programming approach with separated concerns - Error handling returns `{ error: string }` objects rather than throwing - All API responses are typed for safety - Environment variable fallbacks for configuration

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/supavec/mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server