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Insights Knowledge Base Mcp Server

@v587d

Repository

About 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

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

FAQ from Insights Knowledge Base Mcp Server

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.

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.

Where does the data come from?

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

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.

Is this server free to use?

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

Frequently asked questions

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.

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.

Where does the data come from?

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

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.

Is this server free to use?

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

Comments

Basic information

Category

Memory & Knowledge

Transports

stdio

Author

v587d

Submitted by

Hui Shawn

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