MCP Knowledge Base Server
Click on "Deploy 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 Server search 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
Available Tools
5 toolsadvanced_searchC
Search with additional filters like category and result limit
Inputs: query (required), category, limit.
get_by_categoryC
Get all knowledge base entries for a specific category
Inputs: category (required).
get_by_idC
Get a specific knowledge base entry by its ID
Inputs: id (required).
list_categoriesB
List all available knowledge base categories
Inputs: no named parameters.
search_knowledgeB
Search the knowledge base for relevant information. Use this when you need to find specific facts or documentation.
Inputs: query (required), limit.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 5 tools
There is some overlap between 'advanced_search' and 'search_knowledge', as both are for searching, though 'advanced_search' adds filters. 'get_by_category' and 'list_categories' are distinct but related. The descriptions help differentiate, but an agent might initially confuse the two search tools.
Most tools follow a clear verb_noun pattern (e.g., 'get_by_id', 'list_categories'), with 'advanced_search' and 'search_knowledge' being slight deviations. The naming is mostly consistent and readable, with only minor inconsistencies in verb usage.
With 5 tools, this server is well-scoped for a knowledge base domain. Each tool serves a distinct purpose (searching, retrieving by ID/category, listing categories), and the count is appropriate without being too sparse or overwhelming.
The toolset covers core CRUD-like operations for a knowledge base: searching, retrieving by ID and category, and listing categories. A minor gap is the lack of create, update, or delete tools, but for a read-only knowledge base server, this is reasonable and agents can work around it.
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