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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-mcp

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

78/100

Supported Platforms

Claude Code
Claude Desktop
Cursor

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.

Substance
26/30
Structure
20/20
Description
15/15
Adoption
3/20
Freshness
15/15

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.

SkillScoreStarsUpdatedFormat
shaddai-mcp (this skill)by IzzoSol7833mo agoMCP Server
Agent-Reachby Panniantong10098.2k1d agoCLAUDE.md
taste-skillby Leonxlnx10098.0k2d agoCLAUDE.md
headroomby headroomlabs-ai10075.5ktodayCLAUDE.md
ai-job-searchby MadsLorentzen10048.3k1d agoCLAUDE.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.

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-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 count
  • list_rag_docs — documents inside one agent's knowledge base
  • rag_search — raw TF-IDF chunk hits (score + source doc) for a query
  • rag_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_ask against 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_search lets 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-mcp gives you all 7 — SHADDAI (strategy), NEXUS (architecture), ZEROX (money), ORACLE (research), TURTLE (creative), QUILL (writing), PIKADON (security).

Try these in Claude after adding it:

  1. run_agent — "ZEROX, price a Pro tier for a B2B SaaS using your KB."
  2. rag_ask — "What does ORACLE's KB say about consistent daily practice?"
  3. run_agent — "PIKADON, audit this login flow against your KB."
  4. 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_search in 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

View on GitHub
GitHub Stars3
CategoryDevelopment
Updated2mo ago
Forks0

Languages

JavaScript

Trust signals

80/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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