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Big Brain MCP - Mantle Network Stats Server

@sweetmantech

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基本情報

カテゴリ

クラウドとインフラ

トランスポート

stdio

作者

sweetmantech

Big Brain MCP - Mantle Network Stats Server について

free MCP server hosting using vercel

#mcp#mantle-network#stats-server

Big Brain MCP - Mantle Network Stats Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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Big Brain MCP - Mantle Network Stats 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 Big Brain MCP - Mantle Network Stats Server?

Big Brain MCP - Mantle Network Stats Server is an MCP server that reads statistics from the top protocols in the Mantle Network. It is designed to help users make more informed decisions about their investment strategies by providing on-chain data via the Model Context Protocol.

How to use Big Brain MCP - Mantle Network Stats Server?

To use the server, update api/server.ts with your tools, prompts, and resources following the MCP TypeScript SDK documentation. The server is intended to run on Vercel with a Redis instance attached (set via process.env.REDIS_URL) and requires Fluid compute enabled. For Vercel Pro or Enterprise accounts, adjust the max duration in vercel.json to 800. A sample client at scripts/test-client.mjs can be used to test invocations.

Key features of Big Brain MCP - Mantle Network Stats Server

  • Reads statistics from top Mantle Network protocols.
  • Integrates with the MCP TypeScript SDK.
  • Deployed as a serverless function on Vercel.
  • Requires a Redis instance for data storage.
  • Supports Fluid compute for efficient execution.

Use cases of Big Brain MCP - Mantle Network Stats Server

  • Access Mantle Network protocol statistics for investment analysis.
  • Build AI agents that query on-chain data for decision support.
  • Combine with other MCP tools to create a personalized research dashboard.

よくある質問

1

What runtime or dependencies are required?

The server requires a Redis instance (set via `process.env.REDIS_URL`) and Fluid compute enabled on Vercel. For Vercel Pro/Enterprise, a max duration of 800 may be needed.

2

How do I deploy this server?

Follow the Vercel MCP template deployment guide: “Deploy the MCP template”. Ensure Fluid compute is enabled and Redis is attached.

3

Where does the data come from?

Data is read from top protocols on the Mantle Network; the README does not specify the exact data source API.

4

Is there a way to test the server locally?

Yes, use the sample client at `scripts/test-client.mjs` to test invocations.

5

What transport or authentication is used?

The README does not specify transport or auth details; it follows the MCP TypeScript SDK conventions.

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