aleph-10
Vector Memory MCP Server - An MCP server with vector-based memory storage capabilities
Documentation
Aleph-10: Vector Memory MCP Server
Aleph-10 is a Model Context Protocol (MCP) server that combines weather data services with vector-based memory storage. This project provides tools for retrieving weather information and managing semantic memory through vector embeddings.
Features
- Weather Information: Get weather alerts and forecasts using the National Weather Service API
- Vector Memory: Store and retrieve information using semantic search
- Multiple Embedding Options: Support for both cloud-based (Google Gemini) and local (Ollama) embedding providers
- Metadata Support: Add and filter by metadata for efficient memory management
Getting Started
Prerequisites
- Node.js 18.x or higher
- pnpm package manager
Installation
1. Clone the repository
git clone https://github.com/yourusername/aleph-10.git
cd aleph-102. Install dependencies
pnpm install3. Configure environment variables (create a `.env` file in the project root)
EMBEDDING_PROVIDER=gemini
GEMINI_API_KEY=your_gemini_api_key
VECTOR_DB_PATH=./data/vector_db
LOG_LEVEL=info4. Build the project
pnpm build5. Run the server
node build/index.jsUsage
The server implements the Model Context Protocol and provides the following tools:
Weather Tools
- get-alerts: Get weather alerts for a specific US state
- Parameters: `state` (two-letter state code)
- get-forecast: Get weather forecast for a location
- Parameters: `latitude` and `longitude`
Memory Tools
- memory-store: Store information in the vector database
- Parameters: `text` (content to store), `metadata` (optional associated data)
- memory-retrieve: Find semantically similar information
- Parameters: `query` (search text), `limit` (max results), `filters` (metadata filters)
- memory-update: Update existing memory entries
- Parameters: `id` (memory ID), `text` (new content), `metadata` (updated metadata)
- memory-delete: Remove entries from the database
- Parameters: `id` (memory ID to delete)
- memory-stats: Get statistics about the memory store
- Parameters: none
Configuration
The following environment variables can be configured:
| Variable | Description | Default |
|---|---|---|
| `EMBEDDING_PROVIDER` | Provider for vector embeddings (`gemini` or `ollama`) | `gemini` |
| `GEMINI_API_KEY` | API key for Google Gemini | - |
| `OLLAMA_BASE_URL` | Base URL for Ollama API | `http://localhost:11434` |
| `VECTOR_DB_PATH` | Storage location for vector database | `./data/vector_db` |
| `LOG_LEVEL` | Logging verbosity | `info` |
Development
Project Structure
The project follows a modular structure:
aleph-10/
├── src/ # Source code
│ ├── index.ts # Main application entry point
│ ├── weather/ # Weather service module
│ ├── memory/ # Memory management module
│ ├── utils/ # Shared utilities
│ └── types/ # TypeScript type definitions
├── tests/ # Test files
└── vitest.config.ts # Vitest configurationRunning Tests
The project uses Vitest for testing. Run tests with:
# Run tests once
pnpm test
# Run tests in watch mode during development
pnpm test:watch
# Run tests with UI (optional)
pnpm test:uiBuilding
pnpm buildLicense
This project is licensed under the ISC License.
Acknowledgments
- Model Context Protocol
- National Weather Service API
- Vitest - Next generation testing framework
Frequently asked questions
What is aleph-10?
aleph-10 is Vector Memory MCP Server - An MCP server with vector-based memory storage capabilities
How do I install aleph-10?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is aleph-10 open source?
Yes — it is hosted on GitHub at https://github.com/bjkemp/aleph-10.
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