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Insights Knowledge Base MCP Server

@v587d

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

v587d

提交者

Hui Shawn

关于 Insights Knowledge Base MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Insights Knowledge Base MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

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.

评论

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