shaddai-mcp
The 7 SHADDAI agents and their RAG knowledge base as an MCP server — grounded answers plus on-demand specialists, in Claude Desktop, Claude Code and Cursor. Public edition: no engine, billing or tool internals.
Install / Use
claude mcp add IzzoSol -- npx -y github:IzzoSol/shaddai-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of shaddai-mcp
shaddai-mcp scores 78/100 on our quality scale, 3647th of 4,597 Development & Engineering skills we index.
Its MCP Server is 4.7 KB long, well organised into 10 sections with 4 code examples: a solid amount of guidance for an agent.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 3 months ago, so shaddai-mcp is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
shaddai-mcp compared with similar skills
All 4 of these similar skills score higher than shaddai-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| shaddai-mcp (this skill)by IzzoSol | 78 | 3 | 3mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 98.2k | 1d ago | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 98.0k | 2d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 75.5k | today | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 48.3k | 1d ago | CLAUDE.md |
Frequently asked questions
- How do I install shaddai-mcp?
- Run
claude mcp add IzzoSol -- npx -y github:IzzoSol/shaddai-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does shaddai-mcp work with?
- It is written for Claude Code, Claude Desktop and Cursor, as a MCP Server file. Other agents that read the same format can often use it too.
- Is shaddai-mcp safe to use?
- It declares no license and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is shaddai-mcp still maintained?
- The repository was last updated about 3 months ago, so shaddai-mcp is actively maintained.
Skill content
View source on GitHubSHADDAI 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-mcp
Claude 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-mcp
That'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.
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_agent
Logs 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.
Related Skills
Agent-Reach
98.2kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
taste-skill
98.0kAgent skills that give coding agents taste: art direction, reference images and a browser check instead of generic AI pages
headroom
75.5kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ai-job-search
48.3kThe job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
