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

Aleph-10
Vektorspeicher MCP -Server - Ein MCP -Server mit vektorbasierten Speicherspeicherfunktionen
3 years
Works with Finder
1
Github Watches
0
Github Forks
0
Github Stars
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
相关推荐
Converts Figma frames into front-end code for various mobile frameworks.
Advanced software engineer GPT that excels through nailing the basics.
I find academic articles and books for research and literature reviews.
Take an adjectivised noun, and create images making it progressively more adjective!
Entdecken Sie die umfassendste und aktuellste Sammlung von MCP-Servern auf dem Markt. Dieses Repository dient als zentraler Hub und bietet einen umfangreichen Katalog von Open-Source- und Proprietary MCP-Servern mit Funktionen, Dokumentationslinks und Mitwirkenden.
MCP -Server für den Fetch -Webseiteninhalt mit dem Headless -Browser von Dramatikern.
Ein leistungsstarkes Neovim -Plugin für die Verwaltung von MCP -Servern (Modellkontextprotokoll)
Brücke zwischen Ollama und MCP -Servern und ermöglicht es lokalen LLMs, Modellkontextprotokoll -Tools zu verwenden
Ein KI-Chat-Bot für kleine und mittelgroße Teams, die Modelle wie Deepseek, Open AI, Claude und Gemini unterstützt. 专为中小团队设计的 ai 聊天应用 , 支持 Deepseek 、 Open ai 、 claude 、 Gemini 等模型。
🔍 Ermöglichen Sie AI -Assistenten, über eine einfache MCP -Schnittstelle auf PYPI -Paketinformationen zu suchen und auf Paketinformationen zuzugreifen.
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.