v587d/InsightsLibrary
If you are the rightful owner of InsightsLibrary and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The Insights Knowledge Base (IKB) MCP Server is a free, plug-and-play knowledge base with over 10,000 high-quality insights reports, packaged as an MCP Server with secure local data storage.
The Insights Knowledge Base (IKB) MCP Server is designed to provide users with a comprehensive and easily accessible repository of insights reports. It features a zero-configuration setup, making it ideal for users who need a quick and efficient way to access a wide range of reports from renowned consulting firms like McKinsey, PwC, and BAIN. The server includes a built-in Qwen3-Embedding-0.6B model for vector search, allowing users to retrieve related reports efficiently. Additionally, it supports keyword retrieval for detailed report searches. Users can browse full reports in real-time through the MCP Client, ensuring they have the most up-to-date information at their fingertips. The server is optimized for ultra-fast response times, with function calls typically returning in less than a second and keyword-based queries in under 150 milliseconds. Users can also add private local documents to the library, which can be extracted, parsed, and recognized using configurable VLM models and parameters. The IKB MCP Server is committed to providing a permanently free service, with weekly report updates and a focus on sharing reliable, copyright-compliant resources.
Features
- Zero configuration required for plug-and-play usage.
- Built-in Qwen3-Embedding-0.6B model for efficient vector search.
- Real-time online browsing of full reports in MCP Client.
- Ultra-fast response times for function calls and keyword queries.
- Support for adding private local documents with configurable VLM models.
Usages
usage with VSCode
{ "mcpServers": { "ikb-mcp-server": { "command": "uv", "args": [ "--directory", "<Your Project Root Directory!!!>", "run", "ikb_mcp_server.py" ] } } }
usage with Cherry Studio
text --directory <Your Project Root Directory!!!> run ikb_mcp_server.py
Tools
get_similar_content_by_rag
Finds the most similar document content via vector similarity (RAG).