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Aurekai MCP

by aurekaiversion 0.8.0-alpha.3i★ –iRuns on your computer
Registry nameio.github.aurekai/aurekai-mcp

Install

Overview

Description from the maker (original English)

Aurekai MCP server for akai doctor, manifests, artifacts, feature queries, and runtime inspection.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "aurekai": {
      "command": "npx",
      "args": [
        "-y",
        "@aurekai/mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add aurekai -- npx -y @aurekai/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "aurekai": {
      "command": "npx",
      "args": [
        "-y",
        "@aurekai/mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "aurekai": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@aurekai/mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account aurekai, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32572 servers in this category
  • Published to the registry more recently than 8% of the other 32572 servers in this category
  • Basic checks equal to or better than 100% of the other 32572 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Aurekai MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.8.0-alpha.3) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, AvaHR

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

AvaHR

by avahr.com

Read hiring data and create inactive assessment and questionnaire drafts for human review.

Runs in the cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@aurekai/mcp — Aurekai MCP Server

`0.8.0-alpha.5` · capability-native · zero dependencies · stdio + Streamable HTTP

Exposes all 9 Aurekai capability families (111 commands) as MCP tools with full protocol-level features: tool annotations, resource pagination, named prompts, _meta proof propagation, and embedded resource outputs.

Install

npm install -g @aurekai/mcp

Usage

stdio (default — for Claude Desktop, Cursor, etc.)
// claude_desktop_config.json

{ "mcpServers": { "aurekai": { "command": "aurekai-mcp" } } }

Streamable HTTP (optional)
AKAI_MCP_HTTP_PORT=3100 aurekai-mcp

POST JSON-RPC to http://127.0.0.1:3100/mcp

Protocol Surface

FeatureStatus
tools/list — 89 operators across 9 capability families✅
Tool annotations (readOnlyHint, destructiveHint, idempotentHint)✅
resources/list — 13 aurekai:// resource URIs✅
resources/read — live reads for runtime/capabilities, queue/stats, models✅
Resource pagination (nextCursor)✅
Resource subscriptions (acknowledge)✅
prompts/list + prompts/get — 8 named capability prompts✅
_meta proof propagation on tool call results✅
Embedded resource outputs for proof-emitting tools✅
logging server capability✅
Streamable HTTP transport (AKAI_MCP_HTTP_PORT)✅

Capability Families

FamilyOperatorsExamples
runtime11akai_api, akai_queue, akai_workflow
commerce11akai_gate, akai_pay, akai_ledger
intake12akai_transcribe, akai_ingest, akai_segment
memory11akai_fpq, akai_fpqx, akai_embed, akai_vec
proof8akai_proof, akai_canon, akai_graph, akai_hash
reason5akai_reason, akai_physics, akai_flow, akai_learn
wire5akai_tel, akai_wire, akai_moq, akai_net
publish9akai_brief, akai_narrate, akai_pack, akai_distribute
substrate17akai_capability, akai_space, akai_compress

Named Prompts

PromptDescription
turn-this-call-into-a-deliverableaudio → transcribe → brief → deliverable
inspect-this-artifact-lineageResolve full Merkle lineage for an artifact
build-a-model-memory-packFPQ compress + roundtrip + export memory pack
compare-these-reasoning-branchesDual branch diff with recommendation
generate-client-invoice-from-usageMetering records → invoice
produce-wire-device-reportPCAP → SIP event + device report
run-a-release-gateproof validate + manifest verify + SLI auto-run
make-a-client-brief-from-this-audioaudio → transcript → structured client brief

Resources (aurekai:// URIs)

aurekai://runtime/capabilities · aurekai://queue/stats · aurekai://ledger/portfolio aurekai://models · aurekai://model-memory · aurekai://features/{artifact} aurekai://proof/{id} · aurekai://graph/{node}/lineage · aurekai://space/{name} aurekai://wire/{capture_id} · aurekai://project/{id} · aurekai://invoice/{id} · aurekai://cms/{entry_id}

Runtime Requirement

Tools require the akai binary on PATH (from aurekai/native-runtime) or set AKAI_BIN=/path/to/akai. Without it, tools return a clear error message — no crash.

Registry Targets

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