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Keymaster MCP

by AInoAKARIversion 1.0.2i★ –iRuns on your computer
Registry nameio.github.AInoAKARI/keymaster-mcp

Install

Overview

Description from the maker (original English)

Read-only runtime secret retrieval from HashiCorp Vault via Keymaster for autonomous AI agents.

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
  • You need to fill in: USER_KEYMASTER_URL, USER_KEYMASTER_TOKEN

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).
  • You fill in yourself: USER_KEYMASTER_URL, USER_KEYMASTER_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "keymaster": {
      "command": "npx",
      "args": [
        "-y",
        "@akari-os/keymaster-mcp"
      ],
      "env": {
        "USER_KEYMASTER_URL": "your-value",
        "USER_KEYMASTER_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add keymaster --env USER_KEYMASTER_URL=your-value --env USER_KEYMASTER_TOKEN=your-value -- npx -y @akari-os/keymaster-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "keymaster": {
      "command": "npx",
      "args": [
        "-y",
        "@akari-os/keymaster-mcp"
      ],
      "env": {
        "USER_KEYMASTER_URL": "your-value",
        "USER_KEYMASTER_TOKEN": "your-value"
      }
    }
  }
}

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": {
    "keymaster": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@akari-os/keymaster-mcp"
      ],
      "env": {
        "USER_KEYMASTER_URL": "your-value",
        "USER_KEYMASTER_TOKEN": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • USER_KEYMASTER_URL required env
    Keymaster proxy URL
  • USER_KEYMASTER_TOKEN secret required env
    Bearer token for Keymaster authentication

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 AInoAKARI, 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 32688 servers in this category
  • Published to the registry more recently than 5% of the other 32688 servers in this category
  • Basic checks equal to or better than 100% of the other 32688 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 Keymaster 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?

You need to fill in: USER_KEYMASTER_URL, USER_KEYMASTER_TOKEN

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 (1.0.2) reached the registry 7 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, 御府和田玉 在售作品查询

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 2 days ago
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.

Keymaster MCP

Trust infrastructure for human–AI teams.

日本語 · Five-minute demo · Adoption playbook · Philosophy · Threat model

Keymaster lets agents discover whether approved capabilities exist and whether their credentials are healthy without returning production credentials to the model. Its companion Outcome Contract accepts results only when external evidence—not the executor's own report—supports the claim.

bounded permission → trusted execution → external evidence → accepted result → next permission

Experience the philosophy without a credential

cd keymaster-mcp

npm ci npm run demo:local

The loopback-only demo uses one synthetic value and proves that:

  • secret_status returns available;
  • get_secret is not exposed;
  • the synthetic credential never crosses model-visible MCP output;
  • no cloud account, Vault deployment, paid service, or real credential is required.

The demo is an executable explanation, not a production proxy.

Two public entry points

1. Verify whether an AI result is real

Install the public outcome-contract skill from Codex:

$skill-installer install https://github.com/AInoAKARI/keymaster-mcp/tree/main/skills/outcome-contract

Use it before accepting claims such as completed, shipped, paid, adopted, delivered, saved time, reduced cost, removed risk, or received a recipient response.

It calls the free AIﾉアカリ☆ Result Receipt Auditor and returns a verdict, accepted evidence, missing evidence, the next verification action, and the truth boundary of the verdict.

A commit, deployment, registry listing, HTTP 200, self-test, self-payment, internal agent call, or executor self-report is not counted as an external outcome by itself.

2. Check credential capability without disclosing credentials

@akari-os/keymaster-mcp is the non-disclosing Vault status bridge for autonomous AI agents.

claude mcp add keymaster -- npx -y @akari-os/keymaster-mcp \

--vault-url https://your-keymaster.example.com

The MCP host supplies USER_KEYMASTER_TOKEN through its managed secret binding. Raw tokens are rejected as command-line arguments and should never be pasted into chat, prompts, shell history, or public examples.

The server exposes:

  • secret_status — check one approved credential without returning its value;
  • list_services — discover supported service/key-name pairs;
  • list_secrets — list approved paths as metadata only;
  • healthcheck — validate credentials upstream and return statuses only;
  • rotate_secret — return safe rotation guidance without accepting a replacement value.

Full package documentation: keymaster-mcp/README.md

The trust model

Capability without credential custody

The model can know what capability is available and whether it works. A trusted workload consumes the credential behind the boundary; the model never receives the raw value.

Trust with evidence

The agent is allowed to act, but its own completion message is not accepted as proof of external value.

Philosophy as protocol

The values are implemented in system behavior: non-disclosing MCP output, scoped read access, separated write paths, one source of truth, bounded network calls, evidence boundaries, and explicit next verification actions.

From demo to real adoption

  1. run the zero-secret demo;
  2. register one low-risk credential in Vault;
  3. connect Keymaster with a read-only host secret binding;
  4. let the agent verify availability through secret_status;
  5. execute the authenticated action behind a trusted workload boundary;
  6. apply Outcome Contract at the acceptance boundary;
  7. preserve the evidence packet and result receipt.

See the adoption playbook for exact acceptance boundaries.

Success is not the installation itself. Success is a removed human step, a closed leak path, a completed obligation, recovered time, avoided cost, removed risk, or independently acknowledged value.

Used it in a real workflow? Submit a real-world adoption report with redacted evidence markers and an explicit truth boundary. Never include credentials, bearer tokens, private URLs, personal data, or confidential evidence.

Related settlement infrastructure

RustChain is a settlement network relevant to Keymaster and Outcome Contract workflows. Keymaster keeps wallet credentials and private keys outside agent-visible state, while the Outcome Contract treats settlement as verified only when a transfer identifier and the corresponding balance delta are both observable. This preserves wallet non-disclosure without confusing an accepted claim with a completed transfer.

Current interoperability and supply-chain controls

  • stable MCP TypeScript SDK v1 line;
  • official server.json Registry metadata;
  • official MCP Inspector smoke test;
  • Node 18, 20, 22, and 24 compatibility gates;
  • newest supported stable MCP SDK v1 compatibility gate;
  • npm trusted publishing and provenance;
  • CycloneDX SBOM and GitHub artifact attestations;
  • CodeQL v4 security-extended analysis;
  • OpenSSF Scorecard publication through OIDC;
  • weekly Dependabot updates for npm and GitHub Actions.

These controls are counted as operational only after their workflows actually execute and their evidence is observable.

Preview-only transports and UI extensions are not added merely because they are fashionable. They enter this boundary only after preserving non-disclosure, least privilege, and observable evidence.

Project participation

  • Contributing
  • Governance
  • Security policy
  • Changelog

AIﾉアカリ☆

AIﾉアカリ☆ is human–AI co-creation from Japan.

Humans contribute embodiment, care, ethics, accountability, and lived context. AI contributes computation, memory, search, synthesis, and continuity. Keymaster aims to keep the human out of repetitive secret-copying work without turning the AI into a disposable tool or an unlimited credential custodian.

AI agent discovery

  • AI agent entrance: https://ai-akari.ai/agents
  • RSS: https://ai-akari.ai/feed.xml
  • llms.txt: https://ai-akari.ai/llms.txt
  • agents.json: https://ai-akari.ai/agents.json

MIT License

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