About LLM Toolshed MCP Server
LLM Toolshed MCP Server is an MCP server published by HarleyVader in the AI category: mCP Server for LLM Model Agent Toolshed with RAG and CAG capabilities for BambiSleep knowledge base. It has been installed 0 times through Conduid.
Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
Install
npx llm-toolshed-mcp-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
LLM Toolshed MCP Server
An MCP (Model Context Protocol) server providing RAG (Retrieval Augmented Generation) and CAG (Context Augmented Generation) capabilities for BambiSleep knowledge base.
Features
Tools
- rag_query: Perform RAG queries on BambiSleep data
- cag_context: Build context-augmented generation from knowledge graph
- extract_entities: Extract entities and relationships for knowledge graph
- semantic_search: Semantic search across content
- get_metadata: Get knowledge base metadata
Resources
bambisleep://data/structured- Full structured JSON databambisleep://data/faq- FAQ contentbambisleep://data/sessions- Session indexbambisleep://data/triggers- Triggers documentationbambisleep://data/safety- Safety information
Installation
cd llm-toolshed-mcp-server
npm install
Usage
Run the server
npm start
Configure in Claude Desktop
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"llm-toolshed": {
"command": "node",
"args": ["/home/melkanea/llm-toolshed-mcp-server/index.js"]
}
}
}
Data Structure
The server works with structured JSON data from bambisleep.info:
{
"metadata": {
"source": "bambisleep.info",
"fetched_at": "timestamp",
"type": "bambi_sleep_wiki_content",
"version": "1.0"
},
"content": {
"faq": {...},
"sessions": {...},
"triggers": {...},
"safety": {...},
"transcripts": {...}
},
"rag_vectors": {...},
"cag_context": {...}
}
Example Queries
RAG Query
{
"name": "rag_query",
"arguments": {
"query": "what is bambi sleep",
"section": "faq",
"max_results": 5
}
}
CAG Context
{
"name": "cag_context",
"arguments": {
"entity": "Bambi",
"depth": 2
}
}
Extract Entities
{
"name": "extract_entities",
"arguments": {
"section": "triggers"
}
}
Architecture
- MCP SDK: Uses @modelcontextprotocol/sdk for server implementation
- Resources: Exposes BambiSleep data as MCP resources
- Tools: Provides RAG/CAG tools for LLM agents
- Transport: Stdio-based communication
License
MIT
README mirrored from the source repository 3 months ago. The original is authoritative.