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Snak MCP Server

@kasarlabs

リポジトリホームページ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

kasarlabs

投稿者

antiyro

Snak MCP Server について

Build powerful and secure AI Agents powered by Starknet.

#starknet#ai-agents#blockchain

Snak MCP Server の設定

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": {
    "snak": {
      "command": "node",
      "args": [
        "/absolute/path/to/snak/mcp_server/snak/dist/index.js",
        "plugin_name_1",
        "plugin_name_2",
        "plugin_name_3"
      ]
    }
  }
}

Snak MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 Snak?

An Agent Engine for creating powerful and secure AI Agents powered by Starknet, available as both an NPM package and a ready-to-use backend. It integrates with Starknet wallet (Argent X) and AI providers (Anthropic, OpenAI, Google Gemini, Ollama, DeepSeek). Designed for developers building autonomous or interactive agents on Starknet.

How to use Snak?

Clone the repository, install dependencies with pnpm, copy .env.example to .env and fill in Starknet credentials and AI API keys. Optionally configure AI models and agent settings in JSON files under config/. Run in prompt mode with pnpm run start or server mode with pnpm run start:server, optionally specifying custom agent and model configurations. Alternatively, install the @snakagent package and instantiate SnakAgent programmatically.

Key features of Snak

  • Supports multiple AI providers (OpenAI, Anthropic, Google Gemini, Ollama).
  • Customizable agent configuration with lore, objectives, knowledge, and plugins.
  • Two operating modes: interactive and autonomous.
  • Built-in short‑term memory and optional LangSmith tracing.
  • Integrates with MCP servers for extended functionality.
  • Available as both CLI/server and programmable NPM package.

Use cases of Snak

  • Build autonomous DeFi agents that execute transactions on Starknet.
  • Create interactive AI assistants for wallet queries (e.g., “What’s my ETH balance?”).
  • Develop automated trading bots with custom strategies and memory.
  • Deploy scalable agent backends with PostgreSQL persistence and server API.

よくある質問

1

What prerequisites do I need?

A Starknet wallet (e.g., Argent X), an AI provider API key (or Ollama for local models), Docker and Docker compose, Node.js, and pnpm installed.

2

How can I switch between interactive and autonomous mode?

Set the `mode` field in your agent configuration file to `"interactive"` or `"autonomous"`. Both modes are supported in prompt and server runs.

3

Can I use my own AI model?

Yes. Edit `config/models/default.models.json` or create a new model config file, specifying `provider` and model name. The agent loads the corresponding API key from the `.env` file.

4

Where is agent data stored?

Agent memory and chat history are persisted in a PostgreSQL database (configured via `POSTGRES_*` env vars). Optional LangSmith tracing sends logs to LangSmith.

5

How do I add new actions/plugins to an agent?

Follow the step‑by‑step guide at [docs.kasar.io/add-agent-actions](https://docs.kasar.io/add-agent-actions). Plugins are listed in the agent config under `"plugins"`.

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