skills.rest
aivos-xie
aivos-xieCOMMUNITY
Explore all skills by this author →
GitHub

knowledge-base-mcp

Construct and manage structured AI knowledge bases with MCP Server search indexes.

1|Updated Jun 9, 2026
Search Tags:#structured data#documentation#AI agent#knowledge base#MCP Server
One-click install
npx skills add https://github.com/aivos-xie/hermes-skills --skill knowledge-base-mcp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-base-mcp
Source: https://github.com/aivos-xie/hermes-skills/tree/main/software-development/knowledge-base-mcp
Command: npx skills add https://github.com/aivos-xie/hermes-skills --skill knowledge-base-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the problem of manually creating and managing large, structured AI knowledge bases. It simplifies the process of building a knowledge base with structured documentation, search index, and easy Agent integration.

Core Features & Use Cases

  • Structured Documentation: Organize knowledge into patterns, decisions, strategies, and references.
  • Search Index: Implement an efficient search index for quick access to information.
  • Agent Integration: Seamlessly integrate with any MCP compatible Agent for knowledge retrieval.
  • Use Case: For a software development team, this Skill can help create a comprehensive knowledge base for best practices, design patterns, and technical decisions.

Quick Start

Use the knowledge-base-mcp skill to search for 'design patterns' in the knowledge base.

Frequently Asked Questions about knowledge-base-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a structured AI knowledge base for an MCP compatible Agent?▼

Build a structured AI knowledge base by organizing Markdown documentation into patterns, decisions, and references, then generating a search-index.json and knowledge-index.json for MCP Server retrieval.

What is an MCP Server search index and how does it work for AI agents?▼

An MCP Server search index is a structured JSON file enabling efficient information retrieval. It allows any MCP compatible Agent to quickly query and access structured documentation within the knowledge base.

How do I structure Markdown documentation for AI agent knowledge retrieval?▼

Structure Markdown documentation by categorizing content into patterns, decisions, strategies, and references. This organization ensures the MCP Server can efficiently parse and index the information for Agent queries.

Can I use this to create a knowledge base for software development best practices?▼

Yes, you can create a comprehensive knowledge base for software development best practices, design patterns, and technical decisions. The Skill organizes this structured data for seamless MCP Agent integration.

Does the knowledge base MCP Server require specific JSON files to function?▼

Yes, the knowledge base MCP Server requires a well-organized project structure containing Markdown documentation, a search-index.json for quick retrieval, and a knowledge-index.json for mapping.

Related Skills

Explore More Software Engineering Skills→
jimwellerjimweller
1

update-readme

Generate markdown documentation from conversation history and directory structure.

Community
Intermediate
vrcmsvrcms
1

exa-search

Retrieves real-time web and code search results via the Exa MCP server.

Community
Intermediate
curiositechcuriositech
10

dag-output-validator

Validate DAG node outputs against JSON schemas and quality rules.

Official
Advanced
ollieb89ollieb89

using-vector-databases

Implement vector database functionality for semantic search and RAG systems.

Community
Advanced