Confidential guide on numerology and astrology, based of GG33 Public information

Aleph-10
Vector Memory MCP Server - Un serveur MCP avec des capacités de stockage de mémoire basées sur un vecteur
3 years
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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
- Clone the repository
git clone https://github.com/yourusername/aleph-10.git
cd aleph-10
- Install dependencies
pnpm install
- 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=info
- Build the project
pnpm build
- Run the server
node build/index.js
Usage
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)
- Parameters:
-
get-forecast: Get weather forecast for a location
- Parameters:
latitude
andlongitude
- Parameters:
Memory Tools
-
memory-store: Store information in the vector database
- Parameters:
text
(content to store),metadata
(optional associated data)
- Parameters:
-
memory-retrieve: Find semantically similar information
- Parameters:
query
(search text),limit
(max results),filters
(metadata filters)
- Parameters:
-
memory-update: Update existing memory entries
- Parameters:
id
(memory ID),text
(new content),metadata
(updated metadata)
- Parameters:
-
memory-delete: Remove entries from the database
- Parameters:
id
(memory ID to delete)
- Parameters:
-
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 configuration
Running 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:ui
Building
pnpm build
License
This project is licensed under the ISC License.
Acknowledgments
- Model Context Protocol
- National Weather Service API
- Vitest - Next generation testing framework
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Reviews

user_bPxALz6H
As a loyal user of MCP applications, I highly recommend Aleph-10 by bjkemp. This tool is incredibly efficient and user-friendly, significantly streamlining my workflow. The comprehensive documentation available on GitHub ensures a smooth start and helps you unlock the full potential of Aleph-10 effortlessly. Whether you're a newbie or a pro, this application is a game-changer in the MCP space. Check it out at https://github.com/bjkemp/aleph-10.