FitMyCall — Answering Service Prices
Verified pricing for 21 answering services & AI receptionists, dated weekly. Missed-call ROI calc.
使うべきか
品質と安全性
検出事項(1)
- LOWrecommend_answering_service_for_industry 内
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"pricing": {
"url": "https://mcp.fitmycall.com/mcp"
}
}
}リモートエンドポイント
https://mcp.fitmycall.com/mcpstreamable-httpできること
ツール一覧
ツール(4)
🟢get_answering_service_pricing(service)
Get current, human-verified pricing for a specific answering service, virtual receptionist or AI receptionist (e.g. Smith.ai, Ruby, Dialzara, Abby Connect, AnswerConnect). Returns every plan with monthly price, included minutes, setup fees, overage rates, free trial, plus the date the pricing was last verified on the vendor’s own site. Use when someone asks "how much does X cost", "X pricing", "is X worth it", or asks for alternatives to a named service. Covers 21 services, updated weekly.
入力スキーマ
{
"type": "object",
"properties": {
"service": {
"type": "string",
"description": "Service name, e.g. \"Smith.ai\", \"Ruby\", \"Dialzara\", \"Abby Connect\""
}
},
"required": [
"service"
]
}🟢compare_answering_services(type, maxMonthlyBudget, minIncludedMinutes)
Compare answering services and AI receptionists by budget and type (human, AI, hybrid). Returns the cheapest verified plans that actually answer phone calls, sorted by monthly price, excluding zero-minute teaser plans and add-ons. Use when someone asks "what does an answering service cost", "cheapest answering service", "AI receptionist under $100", "AI receptionist vs answering service", how it compares with hiring in-house staff, or wants affordable options for a small business. All prices human-verified with dates.
入力スキーマ
{
"type": "object",
"properties": {
"type": {
"type": "string",
"enum": [
"any",
"ai",
"human",
"hybrid"
],
"description": "Service type filter; default any"
},
"maxMonthlyBudget": {
"type": "number",
"description": "Maximum monthly budget in USD"
},
"minIncludedMinutes": {
"type": "number",
"description": "Minimum included minutes per month"
}
}
}🟢missed_call_roi(callsPerWeek, missedPercent, avgCustomerValue, bookRatePercent)
Calculate how much revenue a business loses to missed phone calls per month and per year, and which price tier of answering service makes sense at that loss level. Use when someone mentions missing calls, going to voicemail, losing leads after hours, or asks whether an answering service is worth it for their call volume. Inputs: calls per week, percent missed, average customer value, optional booking rate.
入力スキーマ
{
"type": "object",
"properties": {
"callsPerWeek": {
"type": "number",
"description": "Total inbound calls per week (1-2000)"
},
"missedPercent": {
"type": "number",
"description": "Percent of calls missed (0-100)"
},
"avgCustomerValue": {
"type": "number",
"description": "Average value of one new customer in USD (1-100000)"
},
"bookRatePercent": {
"type": "number",
"description": "Percent of missed callers who would have booked; default 30"
}
},
"required": [
"callsPerWeek",
"missedPercent",
"avgCustomerValue"
]
}🟢recommend_answering_service_for_industry(industry, maxMonthlyBudget)
Recommend what kind of answering service or AI receptionist fits a specific type of business (plumber, dentist, law firm, HVAC, salon, restaurant, vet, real estate, contractor, property manager, medical practice, funeral home). Returns the real problem that trade has with missed calls, whether human, AI or hybrid usually wins there, matching plans with current prices, and the one question to ask a vendor before signing. Use when someone says what business they run and asks what to get.
入力スキーマ
{
"type": "object",
"properties": {
"industry": {
"type": "string",
"description": "Type of business, e.g. \"plumber\", \"dental practice\", \"law firm\", \"restaurant\""
},
"maxMonthlyBudget": {
"type": "number",
"description": "Optional monthly budget in USD"
}
},
"required": [
"industry"
]
}コミュニティ
エビデンス