Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Knowledge Base Serversearch for information about API rate limiting"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
# MCP Knowledge Base Server
A Model Context Protocol (MCP) server that exposes a knowledge base through multiple tools for semantic search and data retrieval.
## Features
- **search_knowledge**: Search for relevant information using keywords
- **list_categories**: List all available categories
- **get_by_category**: Filter entries by category
- **get_by_id**: Retrieve specific entries by ID
- **advanced_search**: Search with category filters and result limits
- **In-memory caching**: 60-second TTL for faster repeated queries
## Setup
npm install
npm run build
## Usage with Claude Desktop
Add to your Claude Desktop config (%APPDATA%\\Claude\\claude\_desktop\_config.json):
{
"mcpServers": {
"knowledge-base": {
"command": "node",
"args": \["C:\\\\path\\\\to\\\\mcp-learning\\\\dist\\\\index.js"]
}
}
}
## Tech Stack
- TypeScript
- @modelcontextprotocol/sdk
- Node.js
## Next Steps
- [ ] Connect to Vectorize for semantic search
- [ ] Deploy to Cloudflare Workers
- [ ] Add authentication
Resources
Looking for Admin?
Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.