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FinBrain MCP Server

@ahmetsbilgin

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トランスポート

stdio

作者

ahmetsbilgin

投稿者

Ahmet Bilgin

FinBrain MCP Server について

Access institutional-grade alternative financial data directly in your LLM workflows.

#finance#quant#alternativedata

FinBrain 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": {
    "finbrain-mcp": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

FinBrain 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 FinBrain MCP?

FinBrain MCP is a Model Context Protocol server that exposes FinBrain datasets to AI clients like Claude Desktop and VS Code MCP extensions. It provides tools for financial data including price predictions, news sentiment, alternative data, and institutional/insider activity. Requires Python 3.10+ and a FinBrain API key.

How to use FinBrain MCP?

Install via pip install --upgrade finbrain-mcp, configure your FinBrain API key in the MCP client’s config (Claude Desktop or VS Code), then ask natural-language questions. The client launches the server automatically; no manual start needed.

Key features of FinBrain MCP

  • AI-powered price predictions with 10-day and 12-month horizons
  • News sentiment analysis with aggregated scores per ticker
  • Alternative data: LinkedIn metrics, App Store ratings, Options flow
  • Institutional activity: US Congress trades, insider transactions, analyst ratings
  • Tools return JSON by default, CSV on request, with paging support
  • Local MCP server using your own API key (no cloud proxying)

Use cases of FinBrain MCP

  • Get daily or monthly price forecasts for any ticker
  • Track aggregate news sentiment and market mood shifts
  • Monitor insider transactions and congressional stock trades
  • Fetch analyst ratings and price target changes
  • Retrieve alternative indicators like LinkedIn follower trends and put/call ratios

よくある質問

1

What are the runtime requirements for FinBrain MCP?

Python 3.10+ is required. Install the package via pip; a FinBrain API key is mandatory.

2

How do I provide my FinBrain API key?

Set `FINBRAIN_API_KEY` in the MCP client’s `env` block (recommended) or as an environment variable. Restart the client after setting the env var.

3

What endpoints are available?

Tools include `predictions_by_ticker`, `news_sentiment_by_ticker`, `app_ratings_by_ticker`, `analyst_ratings_by_ticker`, `house_trades_by_ticker`, `senate_trades_by_ticker`, `insider_transactions_by_ticker`, `linkedin_metrics_by_ticker`, `options_put_call`, and basic ones like `health`, `available_markets`, and `available_tickers`.

4

Can I get CSV output instead of JSON?

Yes – simply say “as CSV” in your request, and the tool will return CSV formatted data.

5

Is data proxied or stored locally?

The MCP server runs locally and directly accesses FinBrain’s API with your own key. No proxying; data is fetched live from FinBrain’s cloud.

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