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caplinehq

capline-mcp

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by caplinehq

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      Enables AI agents to use payment APIs safely by gating every tool call through deterministic mandates, value checks, and an exactly-once ledger, so they cannot pay twice or exceed authorisation.
      39 npm
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    • A
      license
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      D
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      AgentPay is the authorization layer between an AI agent and real spending. You define the rules — spending caps, allowed merchants, time windows — and every purchase attempt the agent makes is checked against them in real time. Approved transactions go through. Anything outside the mandate is blocked and logged. No more babysitting every agent action. No more runaway charges.
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      Enables AI agents to propose structured payment intents, apply deterministic policy, require human approval, and record tamper-evident audit trails without connecting to live payment rails.
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    • A
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      A
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      Enables AI agents to make non-custodial USDC payments on Base through an MCP endpoint, with server-enforced per-payment and daily caps, human approval bands, and recipient allowlists.
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    TDQS

    A4.2/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clear, non-overlapping purpose: reading mandate status, creating a mandate, executing payments, and revoking a mandate. No ambiguity for an agent selecting between them.

    Naming Consistency3/5

    The naming pattern is mixed: 'create_mandate' and 'revoke_mandate' use verb_noun, 'mandate_status' is a noun phrase, and 'pay' is a bare verb. While still readable, the conventions are not uniform.

    Tool Count5/5

    Four tools is well-scoped for a mandate-driven payment system. Each tool addresses a distinct lifecycle stage without redundancy or bloat.

    Completeness4/5

    The core lifecycle—create, read, pay, revoke—is covered. A minor gap is the lack of an update mandate tool, but the domain description indicates mandates are set up once, so this is acceptable.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues