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Insights Knowledge Base MCP Server

@v587d

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

作者

v587d

投稿者

Hui Shawn

Insights Knowledge Base MCP Server について

A free, plug-and-play knowledge base. Built-in with 10,000+ high-quality insight reports, packaged as MCP Server, and secure local data storage.

#mcp#knowledge-base#plug-and-play#insights

Insights Knowledge Base 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": {
    "ikb-mcp-server": {
      "command": "uv",
      "args": [
        "--directory",
        "<Your Project Root Directory!!!>",
        "run",
        "ikb_mcp_server.py"
      ]
    }
  }
}

Insights Knowledge Base 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 Insights Knowledge Base Mcp Server?

Insights Knowledge Base Mcp Server is a free, plug-and-play MCP server that provides access to over 10,000 high-quality insights reports from reputable research sources. It stores all data locally for security and requires no configuration to get started, making it ideal for developers and analysts who need ready-to-use knowledge.

How to use Insights Knowledge Base Mcp Server?

Clone the repository, create a virtual environment with uv venv, install core dependencies with uv pip install -e ., then configure your MCP client (e.g., VSCode Cline or Cherry Studio) to run ikb_mcp_server.py using the uv command. For private documents, set VLM model parameters in .env, place PDFs in the library_files folder, and run main.py.

Key features of Insights Knowledge Base Mcp Server

  • No configuration needed – truly plug-and-play.
  • Permanently free with weekly report updates.
  • Supports private document parsing via VLM models.
  • Local data storage for security and privacy.
  • Includes pagination and local file path display.
  • Licensed under the MIT License.

Use cases of Insights Knowledge Base Mcp Server

  • Quickly search and retrieve industry insights reports for research.
  • Integrate a curated knowledge base into LLM-powered applications.
  • Add and analyze private PDF documents using vision language models.
  • Stay current with weekly updates on topics like AI, sustainability, and finance.
  • Build local, self-contained knowledge retrieval systems without external APIs.

よくある質問

1

Do I need to configure anything to use the built-in reports?

No, the server is designed to work out of the box with no configuration required.

2

How can I add my own private documents?

Configure a VLM model (API key, base URL, model name) in a `.env` file, upload PDFs to the `library_files` folder, then run `main.py` to parse and index them.

3

Where does the data come from?

All reports are collected from free resources available on official research report websites.

4

What are the system requirements and how do I install dependencies?

You need Python 3.12+ and the `uv` package manager. Install dependencies by running `uv pip install -e .` in the project root directory.

5

Is this server free to use?

Yes, it is permanently free and released under the MIT License.

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