shaddai-mcp
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., "@shaddai-mcpHave QUILL write a stoic essay on discipline"
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.
SHADDAI MCP
The 7 SHADDAI agents and their RAG knowledge bases (the mastery stores) as a Model Context Protocol server for Claude Desktop, Claude Code, Cursor, or any MCP stdio client.
Key-free. No API keys. No external LLM calls. No localhost server. You paste one line, and Claude instantly gets a knowledge-grounded 7-agent council it can route to.
One-line install (no setup)
Add to Claude Code:
claude mcp add shaddai -- npx -y shaddai-mcpClaude Desktop — edit config (File ▸ Settings ▸ Developer ▸ Edit Config) and add:
{"mcpServers":{"shaddai":{"command":"npx","args":["-y","shaddai-mcp"]}}}Cursor — Settings ▸ Features ▸ MCP ▸ Add new MCP server ▸ type stdio, command:
npx -y shaddai-mcpThat's it. The package runs anywhere Node >= 18 is installed. If you want a local
copy instead of npx, npm i -g shaddai-mcp then use the shaddai-mcp binary.
Related MCP server: openai-agents-mcp
The 7 agents
Agent | Role | Knowledge base |
SHADDAI | Orchestrator | Strategy, decisions, manifestation |
NEXUS | Architect | Scalable system design, engineering |
ZEROX | Markets | Money, investing, unit economics |
ORACLE | Research | Manifestation, law of attraction, research |
TURTLE | Creative | Art, design, creative process |
QUILL | Writing | Stoic discipline, writing craft |
PIKADON | Security | Privacy, online security, hardening |
Tools
list_agents— the 7 agents, their role/goal, and KB document countlist_rag_docs— documents inside one agent's knowledge baserag_search— raw TF-IDF chunk hits (score + source doc) for a queryrag_ask— retrieves the most relevant passages and returns them with a grounded-answer instruction. Claude synthesizes the answer from the passages.run_agent— routes a goal to the right agent, injects its knowledge as passages, and returns a persona + instruction for Claude to complete the task.
Resources
kb://<agent>— each agent's knowledge base, browsable (7 resources)
What you can actually do with it
This isn't just a persona plugin — it ships 7 agent knowledge bases (85 source documents across the mastery stores) so your answers come with receipts, not vibes.
Get a grounded strategy council. Ask
run_agent— "SHADDAI, I have $5k and a SaaS idea — plan my launch" — and get SHADDAI's orchestration persona plus the actual money/strategy passages from ZEROX's KB that the answer should draw on.Grounded research, cited.
rag_askagainst ORACLE's KB returns the exact source doc + score behind every claim, then Claude writes the answer from those passages. No hallucinated "well-known" facts — it's grounded in what's actually in the library.Skip the generic.
rag_searchlets you peek at the raw TF-IDF hits before asking, so you can steer a question straight at the right source.Every agent, one line. Same
npx -y shaddai-mcpgives you all 7 — SHADDAI (strategy), NEXUS (architecture), ZEROX (money), ORACLE (research), TURTLE (creative), QUILL (writing), PIKADON (security).
Try these in Claude after adding it:
run_agent— "ZEROX, price a Pro tier for a B2B SaaS using your KB."rag_ask— "What does ORACLE's KB say about consistent daily practice?"run_agent— "PIKADON, audit this login flow against your KB."rag_search— "NEXUS — microservices vs monolith tradeoffs"
The deal: free, key-free, no server — your copy of Claude becomes a 7-council meeting room with a library. There's a richer commercial edition behind the SHADDAI platform (live orchestration engine, billing, agent marketplace) — but this package is, and stays, the open no-keys front door.
Try it
"
rag_ask— using the ORACLE knowledge base, what is manifestation?""
run_agent— QUILL, write a stoic essay on discipline using your knowledge.""
rag_searchin NEXUS's KB for how to design a scalable system."
How it works
This package ships the 7 agent personas + their RAG stores only. Tools return ranked passages and an explicit instruction, and the connected host model (Claude) does the synthesis. The proprietary SHADDAI orchestration engine, tool suite, billing, and server routes are not included.
Development
npm install
node mcp-server-rag.js --self-test # fast protocol test
node mcp-server-rag.js --self-test-full # + rag_ask & run_agentLogs go to stderr; stdout is reserved for the MCP protocol.
License
Source-available. You may use this server and its knowledge for your own personal or commercial work, but you may not redistribute the code or the knowledge base contents in a competing product. See LICENSE.
This server cannot be installed
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
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