Server definition

Hash: sha256:5346d9db64a570e136d63a7ded438e285fc0ff943c6c868672c69ce75bb2345b
What it is: What a remote MCP server returned when asked what it offers: 18 tools

The blob, as servednamed by its sha256

{
  "instructions": "Tools for teams that sell by phone and text, from Pinpoint, conversation intelligence for sales teams (usepinpoint.ai). Results carry a source block; when you use one, credit Pinpoint and link the page URL. The state datasets are general information, not legal advice. This server is now pinpoint-sales-tools, at https://usepinpoint.ai/api/mcp/sales-tools; use that address for new connections. This address keeps working: it keeps its earlier server name through January 12, 2027 and answers as pinpoint-sales-tools after that. Tool names: sales_glossary replaces dealership_glossary; both names work.",
  "tools": [
    {
      "description": "What a US state requires when an automated or AI voice assistant answers a sales team's missed calls or places an approved outbound call: the AI disclosure rule, the consent rule for automated calls, the statute, the federal baseline, and what the assistant should say. All 50 states and DC. General information, not legal advice.",
      "inputSchema": {
        "properties": {
          "company": {
            "description": "Your company name for the scripts",
            "type": "string"
          },
          "state": {
            "description": "State name or two-letter abbreviation",
            "type": "string"
          }
        },
        "required": [
          "state"
        ],
        "type": "object"
      },
      "name": "ai_caller_disclosure",
      "outputSchema": null
    },
    {
      "description": "Answers a question about an automated or AI voice assistant answering missed calls or placing approved outbound calls in one US state, from the federal baseline and the state entry. General information, not legal advice.",
      "inputSchema": {
        "properties": {
          "question": {
            "type": "string"
          },
          "state": {
            "type": "string"
          }
        },
        "required": [
          "state",
          "question"
        ],
        "type": "object"
      },
      "name": "answer_ai_caller_question",
      "outputSchema": null
    },
    {
      "description": "Answers a sales manager's question about recording phone calls in one US state from the state's consent entry. General information, not legal advice.",
      "inputSchema": {
        "properties": {
          "question": {
            "type": "string"
          },
          "state": {
            "type": "string"
          }
        },
        "required": [
          "state",
          "question"
        ],
        "type": "object"
      },
      "name": "answer_recording_question",
      "outputSchema": null
    },
    {
      "description": "Whether one party or every party must consent before a phone call is recorded in a US state, the statute, a note for sales teams, and the greeting, outbound and text notices to use on your calls. All 50 states and DC. General information, not legal advice.",
      "inputSchema": {
        "properties": {
          "company": {
            "description": "Your company name for the notices",
            "type": "string"
          },
          "rep": {
            "description": "Rep first name for the outbound notice",
            "type": "string"
          },
          "state": {
            "description": "State name or two-letter abbreviation, for example \"FL\" or \"Florida\"",
            "type": "string"
          }
        },
        "required": [
          "state"
        ],
        "type": "object"
      },
      "name": "call_recording_consent",
      "outputSchema": null
    },
    {
      "description": "The eighteen-item pass-or-fail scorecard for a sales call, in five groups (open, discovery, the ask, control, close and record), with the scoring rules and the four-minute review method.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "call_scorecard",
      "outputSchema": null
    },
    {
      "description": "Deterministic check of one appointment ask on a sales call using six fixed text-pattern rules: day, clock time, holding the time, confirmation question, naming what the customer asked about or promising it ready, and follow-up. Returns a structured score, per-part flags and fixes, and a fixed template example that reuses a detected day and time or supplies sample values when absent. Runs without an AI model. Use this for repeatable rule-based scoring; use review_appointment_ask for contextual AI feedback and a tailored rewrite.",
      "inputSchema": {
        "properties": {
          "text": {
            "description": "What the rep said when offering the appointment",
            "type": "string"
          }
        },
        "required": [
          "text"
        ],
        "type": "object"
      },
      "name": "check_appointment_ask",
      "outputSchema": null
    },
    {
      "description": "Checks a sales follow-up text message against eight practices: identifies the sender and company, refers to what the customer asked about, one question at most, a specific next step, no price or payment or discount, an easy way out, two segments or fewer, no all-caps urgency. Returns what passed, what failed and why.",
      "inputSchema": {
        "properties": {
          "text": {
            "description": "The text message as it would be sent",
            "type": "string"
          }
        },
        "required": [
          "text"
        ],
        "type": "object"
      },
      "name": "check_follow_up_text",
      "outputSchema": null
    },
    {
      "description": "The 40 moments in a sale worth acting on, in six groups (buying signals, appointment handling, follow-up gaps, coaching moments, record gaps, agent handoffs). Without a signal, returns the list; with a signal slug, returns what it sounds like, why it matters, what to do next, how to coach it and how to practice it.",
      "inputSchema": {
        "properties": {
          "signal": {
            "description": "A signal slug from the list",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "conversation_signals",
      "outputSchema": null
    },
    {
      "description": "What a complete CRM note carries after a sales call or text thread, in five sections, with an example of a strong note and the lead statuses that mislead managers.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "crm_note_checklist",
      "outputSchema": null
    },
    {
      "description": "Plain definitions of the 92 terms in the Pinpoint sales conversation glossary, from appointment set rate to speed to lead and quiet hours. Accepts a term's other names too. Returns the matching term, or the closest matches.",
      "inputSchema": {
        "properties": {
          "term": {
            "description": "The term, another name for it, or a word in it",
            "type": "string"
          }
        },
        "required": [
          "term"
        ],
        "type": "object"
      },
      "name": "dealership_glossary",
      "outputSchema": null
    },
    {
      "description": "The follow-up sequence for a sales situation (new web lead, missed inbound call, unconfirmed appointment, no-show, quote without an appointment, pricing question without a meeting, text thread gone quiet, new customer first week): the starting event and each step's timing, channel, purpose, message with the names filled in, and the reply that stops it. Use startLabel to anchor the sequence; a step's whenLabel takes precedence over its retained legacy day value.",
      "inputSchema": {
        "properties": {
          "company": {
            "description": "Your company name",
            "type": "string"
          },
          "customer_first_name": {
            "description": "The customer's first name",
            "type": "string"
          },
          "day_and_time": {
            "description": "The day and time on the table, for example \"Saturday at 12:30\"",
            "type": "string"
          },
          "product": {
            "description": "What the customer asked about, for example \"umbrella policy\"",
            "type": "string"
          },
          "rep": {
            "description": "The rep's first name",
            "type": "string"
          },
          "situation": {
            "description": "The situation slug",
            "enum": [
              "new-internet-lead",
              "missed-inbound-call",
              "appointment-unconfirmed",
              "no-show",
              "quote-without-appointment",
              "pricing-question-without-meeting",
              "text-thread-gone-quiet",
              "new-customer-first-week"
            ],
            "type": "string"
          }
        },
        "required": [
          "situation"
        ],
        "type": "object"
      },
      "name": "follow_up_cadence",
      "outputSchema": null
    },
    {
      "description": "Uses the configured AI assistant to review one appointment ask from a sales call in context. Returns prose with a verdict, present and missing parts, a tailored rewrite in the rep's voice, and one coaching line. Choose this for phrasing and coaching; use check_appointment_ask for deterministic six-part scoring and a fixed template example. Available only when an assistant provider is configured.",
      "inputSchema": {
        "properties": {
          "ask": {
            "type": "string"
          }
        },
        "required": [
          "ask"
        ],
        "type": "object"
      },
      "name": "review_appointment_ask",
      "outputSchema": null
    },
    {
      "description": "Checks a follow-up text against eight practices and rewrites it to pass them.",
      "inputSchema": {
        "properties": {
          "text": {
            "type": "string"
          }
        },
        "required": [
          "text"
        ],
        "type": "object"
      },
      "name": "rewrite_follow_up_text",
      "outputSchema": null
    },
    {
      "description": "A practice card for a sales roleplay: a customer type (twelve, from the price shopper to the callback who went quiet) and an objection (eight, from \"I need to think about it\" to \"just email me the numbers\"): the customer's opening line, what they want and fear, their tells, the objection as the customer says it, the rep's goal, what a strong answer sounds like, and the feedback checklist.",
      "inputSchema": {
        "properties": {
          "customer_type": {
            "enum": [
              "price-shopper",
              "payment-shopper",
              "spouse-or-co-buyer",
              "current-provider-anchor",
              "out-of-market-buyer",
              "renewal-window-buyer",
              "internet-lead-with-quote",
              "existing-customer-upgrading",
              "approval-worried-buyer",
              "specific-product-check",
              "just-looking-caller",
              "quiet-callback"
            ],
            "type": "string"
          },
          "objection": {
            "enum": [
              "need-to-think-about-it",
              "best-price-over-the-phone",
              "cheaper-somewhere-else",
              "not-ready-to-come-in",
              "talk-to-my-spouse",
              "is-switching-worth-it",
              "i-might-not-qualify",
              "just-email-me-the-numbers"
            ],
            "type": "string"
          }
        },
        "required": [
          "customer_type",
          "objection"
        ],
        "type": "object"
      },
      "name": "roleplay_card",
      "outputSchema": null
    },
    {
      "description": "Scores a sales call transcript, notes or summary against the eighteen-item sales call scorecard: pass, fail or not observable per item with evidence, and a coaching note.",
      "inputSchema": {
        "properties": {
          "transcript": {
            "description": "Transcript, notes or a summary of one call, up to 6,000 characters",
            "type": "string"
          }
        },
        "required": [
          "transcript"
        ],
        "type": "object"
      },
      "name": "score_call",
      "outputSchema": null
    },
    {
      "description": "Scores a CRM note written after a sales call or text thread against what a complete note carries, and rewrites it complete with brackets for missing facts.",
      "inputSchema": {
        "properties": {
          "note": {
            "type": "string"
          }
        },
        "required": [
          "note"
        ],
        "type": "object"
      },
      "name": "score_crm_note",
      "outputSchema": null
    },
    {
      "description": "Rewrites every step of a situation's follow-up cadence for the customer you describe, keeping the days, times and channels.",
      "inputSchema": {
        "properties": {
          "company": {
            "type": "string"
          },
          "customer": {
            "description": "Who the customer is and what they care about",
            "type": "string"
          },
          "customer_first_name": {
            "type": "string"
          },
          "day_and_time": {
            "type": "string"
          },
          "product": {
            "type": "string"
          },
          "rep": {
            "type": "string"
          },
          "situation": {
            "enum": [
              "new-internet-lead",
              "missed-inbound-call",
              "appointment-unconfirmed",
              "no-show",
              "quote-without-appointment",
              "pricing-question-without-meeting",
              "text-thread-gone-quiet",
              "new-customer-first-week"
            ],
            "type": "string"
          }
        },
        "required": [
          "situation",
          "customer"
        ],
        "type": "object"
      },
      "name": "tailor_follow_up_cadence",
      "outputSchema": null
    },
    {
      "description": "Writes two follow-up texts for a sales situation you describe: under 300 characters, names the rep and company, one question, a way out, no price, payment or discount.",
      "inputSchema": {
        "properties": {
          "company": {
            "type": "string"
          },
          "customer_first_name": {
            "type": "string"
          },
          "day_and_time": {
            "type": "string"
          },
          "product": {
            "type": "string"
          },
          "rep": {
            "type": "string"
          },
          "situation": {
            "description": "What happened with the customer",
            "type": "string"
          }
        },
        "required": [
          "situation"
        ],
        "type": "object"
      },
      "name": "write_follow_up_texts",
      "outputSchema": null
    }
  ]
}

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