ShieldZ Crypto Payments
Official@shieldz/mcp
Shieldz 向け Model Context Protocol (MCP) サーバー。 AIエージェント(Claude など)が非カストディアルの暗号通貨支払いを受け付け、デジタル商品を販売できるようにします。
資金は常に、あなたが指定したウォレットアドレスに決済されます。Shieldz があなたの鍵を保持することはありません。
キーレスツール(アカウント不要、APIキー不要)
宛先ウォレットアドレスを指定するだけで、1回の呼び出しで暗号通貨の受け付けを開始できます:
create_payment_link— 一回限りの支払いリンク(共有可能なURL + 埋め込み可能なボタン + QRコード)。引数:address、amount_usd、オプションのchain(デフォルトはbase)、asset(デフォルトはUSDC)、memo、email。create_tip_jar— 再利用可能な「好きな金額を支払う」ページ。支払い者が金額を選択します。引数:address、オプションのchain、asset、title、suggested_amounts_usd、slug、email。create_unlock— デジタル商品の販売:支払いと引き換えに、ファイルリンク、ライセンスキー、または秘密テキスト(最大10万文字)のロックを解除するページ。購入者が支払うと、ペイロードが支払い確認画面に自動的に表示されます。引数:address、price_usd、payload、aup_accepted、オプションのtitle、description、chain、asset、email。(最大10 MBのアップロードファイルを配信するには、/api/v1/unlocksにmultipartでPOSTします。)get_account_status—manage_tokenで決済詳細、チップジャー、合計額、請求書を照会します。
これらはゼロ設定で動作します。オプションの email を渡すと、所有者は後でマジックリンク経由でフルダッシュボードを利用できるようになります。
リモート(インストール不要) — 任意のMCPクライアントをホスト型サーバーに接続します:
{ "mcpServers": { "shieldz": { "url": "https://shieldz.cash/mcp" } } }ローカル(stdio) — npx 経由で実行:
{
"mcpServers": {
"shieldz": {
"command": "npx",
"args": ["-y", "@shieldz/mcp"]
}
}
}Related MCP server: PayRam MCP Server
APIキーツール(完全なマーチャントアカウント)
SHIELDZ_API_KEY を設定すると、より充実した請求書管理が追加で有効になります:create_invoice、get_invoice、list_invoices。
{
"mcpServers": {
"shieldz": {
"command": "npx",
"args": ["-y", "@shieldz/mcp"],
"env": { "SHIELDZ_API_KEY": "sk_live_…" }
}
}
}APIキーは、マーチャントダッシュボード → Developers から取得できます。
環境変数
SHIELDZ_API_KEY(オプション)— 請求書ツールを有効にします。キーレスモードの場合は省略します。SHIELDZ_BASE_URL(オプション)— デフォルトはhttps://shieldz.cash。
ライセンス
MIT © Deniz Yanbollu / Shieldz
Available Tools
3 toolscreate_payment_linkAInspect
Create a one-time crypto payment link with ZERO setup, no account, no API key. Give a destination wallet address and an amount; get back a shareable pay_url, an embeddable button, and a manage_url. Non-custodial: funds settle directly to the address you provide. Optionally pass an email so the owner can claim a full dashboard later.
| Name | Required | Description | Default |
|---|---|---|---|
| memo | No | Description shown on the checkout | |
| asset | No | Defaults to USDC | |
| chain | No | Defaults to base | |
| No | Optional, lets the owner claim a dashboard later | ||
| address | Yes | Destination wallet; funds settle here. Shieldz never holds them. | |
| amount_usd | Yes | Amount in USD, e.g. 49 for $49.00 |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It discloses non-custodial nature, direct settlement, and optional email for dashboard. However, it does not mention rate limits, authentication, or error handling.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the key purpose, and every sentence adds value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 6 parameters and no output schema, the description adequately explains inputs and what the user gets back (pay_url, button, manage_url). It is sufficient for an AI agent to understand usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description adds meaning beyond the schema by explaining the non-custodial aspect, default values, and optional functionality, e.g., email for dashboard.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it creates a one-time crypto payment link with zero setup, distinguishing it from sibling tools like create_tip_jar (tips) and get_account_status (status). The verb 'Create' and resource 'payment link' are explicit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description specifies when to use (no account, no API key) but does not explicitly state when not to use or provide alternatives beyond the implied context. It clearly sets expectations for what the tool does.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_tip_jarAInspect
Create a reusable 'pay what you want' tip jar with ZERO setup, no account, no API key. The payer chooses the amount. Returns a shareable /tip url, an embeddable button, and a manage_url. Idempotent per wallet address: calling again updates the same tip jar. Non-custodial: funds settle directly to the address you provide.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | No | Optional custom URL slug; auto-generated if omitted | |
| asset | No | Defaults to USDC | |
| chain | No | Defaults to base | |
| No | Optional, lets the owner claim a dashboard later | ||
| title | No | Heading shown on the tip page, e.g. 'Buy me a coffee' | |
| address | Yes | Destination wallet; funds settle here. Shieldz never holds them. | |
| description | No | ||
| suggested_amounts_usd | No | Preset amount buttons in USD, e.g. [3, 5, 10] |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden and discloses key behaviors: idempotent per wallet address, non-custodial, funds settle directly, and updates the same jar on repeat calls. Could mention potential side effects of updates (e.g., overwriting settings) but overall strong.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with no fluff. First sentence packs purpose and key value propositions; second covers idempotence and non-custodial nature. Every part earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 8 parameters (1 required) and no output schema, the description covers overall function, return types, and behavioral traits. It lacks error cases or edge conditions, but completeness is adequate for a creation tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 88% (high), so baseline is 3. The description adds context beyond schema: confirms the address parameter is the destination and that funds are non-custodial, and suggests amount parameters relate to payer choice. This adds meaningful semantic value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it creates a reusable 'pay what you want' tip jar with zero setup, and specifies return values (shareable URL, embeddable button, manage_url). It distinguishes from siblings like create_payment_link (likely fixed amounts) and get_account_status (different function).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description says 'Create a reusable tip jar with ZERO setup' which implies when to use. However, it does not explicitly contrast with sibling tools or state when NOT to use this tool. The context is clear but lacks exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_account_statusAInspect
Look up a keyless Shieldz account by its manage_token (returned when you create a payment link or tip jar). Returns settlement details, tip jars, totals (paid/pending), and the full invoice list as structured JSON.
| Name | Required | Description | Default |
|---|---|---|---|
| manage_token | Yes | The manage_token from create_payment_link / create_tip_jar |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Without annotations, the description carries full burden. It specifies exactly what is returned (settlement details, tip jars, totals, invoice list), which discloses the tool's output. However, it does not explicitly state that the operation is read-only.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, zero wasted words. The purpose is front-loaded ('Look up a keyless Shieldz account'), and the output is concisely listed.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple, one-parameter lookup tool with no output schema or annotations, the description covers all essential aspects: input source, output contents (structured JSON). No additional information is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema describes the required parameter 'manage_token' as the token from sibling tools. The description reinforces this by referencing the same origin, adding practical context beyond the schema. Schema coverage is 100%.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'look up' and the resource 'keyless Shieldz account' by a specific token. It distinguishes from sibling tools (create_payment_link, create_tip_jar) by focusing on retrieval vs. creation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains the token origin ('returned when you create a payment link or tip jar'), linking to sibling tools. It implies use after creation, but does not explicitly state when not to use or provide alternative conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
3 tool updates
v0.3.0- First observed
create_payment_link - First observed
create_tip_jar - First observed
get_account_status
TDQS
Each tool has a clearly distinct purpose: fixed-amount payment link, flexible tip jar, and account status. There is no overlap or ambiguity.
All tools follow a consistent verb_noun snake_case pattern (create_payment_link, create_tip_jar, get_account_status), making it easy to infer function from name.
With 3 tools, the server is tightly scoped to its 'zero setup' philosophy, covering the essential operations without unnecessary bloat.
The server covers creation of two payment types and status retrieval, but lacks update/delete capabilities for payment links or tip jars, which slightly limits agent workflows.
Maintenance
Related MCP Connectors
Non-custodial crypto payments for AI assistants: balances, payments, and create payment links.
Agent Commerce Protocol MCP — bridges Stripe ACP + Google AP2 + Coinbase x402 for agent payments
Pay-per-call APIs and MCP services for agents, no accounts or keys, with verifiable receipts.
Pay-per-action access to APIs and MCP tools over Lightning L402 and Base USDC x402.
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceMCP server for AgentPay — the payment gateway for autonomous AI agents. Fund a wallet once, give your agent the key, and it discovers, provisions, and pays for tool APIs on its own. One key, every tool.1121MIT

PayRam MCP Serverofficial
FlicenseNot gradedqualityDmaintenanceEnables AI agents to deploy and operate a self-hosted, no-signup crypto payment gateway with multi-chain support, card-to-crypto checkout, and MCP tools for payment links and integration snippets.155-- AlicenseNot gradedqualityDmaintenanceEnables AI agents to manage Bitcoin micropayments, service offers, and escrow contracts through MCP tools, without requiring a Lightning node.17MIT
- AlicenseNot gradedqualityBmaintenanceAccept crypto payments from AI agents: create an invoice in one call and get a hosted checkout link (USDC/USDT on Celo, Base, Arbitrum, Polygon, BSC). No API key, instant self-custody settlement.MIT
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