Aleph-10: Vector Memory MCP Server

Name: Aleph-10: Vector Memory MCP Server
Author: bjkemp

@bjkemp

リポジトリ

Aleph-10: Vector Memory MCP Server について

Vector Memory MCP Server - An MCP server with vector-based memory storage capabilities

#mathgpt #math-solver #math-assistant

基本情報

カテゴリ

メモリとナレッジ

ランタイム

node

トランスポート

stdio

公開者

bjkemp

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "aleph-10": {
      "command": "node",
      "args": [
        "build/index.js"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Aleph-10: Vector Memory MCP Server?

Aleph-10: Vector Memory MCP Server is a Model Context Protocol server that combines weather data retrieval from the National Weather Service API with vector‑based semantic memory storage. It is intended for developers who need an MCP‑compatible server for both weather information and persistent, searchable memory via embeddings.

How to use Aleph-10: Vector Memory MCP Server?

Install Node.js 18+, pnpm, clone the repository, run pnpm install, configure environment variables in a .env file, then pnpm build and start with node build/index.js. The server exposes tools such as get‑alerts, get‑forecast, memory‑store, memory‑retrieve, memory‑update, memory‑delete, and memory‑stats.

Key features of Aleph-10: Vector Memory MCP Server

Retrieves weather alerts and forecasts via the National Weather Service API
Stores and retrieves information using semantic vector search
Supports both Google Gemini (cloud) and Ollama (local) embedding providers
Allows metadata to be attached and filtered on memory entries

Use cases of Aleph-10: Vector Memory MCP Server

Fetching live weather alerts for any US state during an MCP session
Obtaining weather forecasts for given latitude/longitude coordinates
Storing conversational context as vector embeddings for later retrieval
Searching for semantically similar text entries across stored memories
Updating or deleting individual memory entries by ID

FAQ from Aleph-10: Vector Memory MCP Server

What are the prerequisites to run the server?

Node.js 18.x or higher and the pnpm package manager are required.

How do I configure the embedding provider?

Set the environment variable EMBEDDING_PROVIDER to gemini or ollama. If using Gemini, provide a GEMINI_API_KEY. For Ollama, set OLLAMA_BASE_URL (default: http://localhost:11434).

Where is the vector database stored?

The vector database is stored at the path specified by VECTOR_DB_PATH, which defaults to ./data/vector_db.

What weather data source is used?

Weather data is sourced from the National Weather Service API.

Can I run embeddings locally without an internet connection?

Yes, by setting EMBEDDING_PROVIDER to ollama and running a local Ollama instance.

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