Goodcall

Goodcall MCP Connector for Claude

A+

Answer business phone calls with an AI receptionist that schedules appointments, takes messages, and never puts callers on hold.

13 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Connect your Goodcall account to any AI agent and manage your virtual phone agent fleet through natural conversation.

What you can do

  • Agent Management — List all virtual phone agents, inspect individual configurations, and update greeting scripts or behavior settings
  • Call History — Browse all calls handled by AI agents, filter by specific agent, and inspect individual call details
  • Transcripts & Summaries — Retrieve full conversation transcripts and AI-generated call summaries with key topics and outcomes
  • Missed Call Tracking — Identify calls that were missed or abandoned for follow-up prioritization
  • Booking Management — View all appointments booked by the AI agent during customer calls
  • FAQ Configuration — List all FAQ entries configured for each agent to verify knowledge coverage
  • Performance Analytics — Track aggregate metrics including total calls, answer rate, booking conversion, and trends

How it works

  1. Subscribe to this server
  2. Enter your Goodcall API Key from your account settings
  3. Start managing your phone agents from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Small Business Owners — monitor how the AI receptionist handles calls, check bookings, and follow up on missed calls
  • Operations Managers — analyze call volume, answer rates, and booking conversions across all phone agents
  • Customer Service Leaders — review call transcripts, refine agent scripts, and ensure FAQ coverage
virtual-receptionistappointment-schedulingai-voice-agentcall-handlingcustomer-inquiriesautomated-phone-system

13 tools expose this connector's capabilities to your AI agent.

check_goodcall_status

Verify connectivity

get_agent

Get agent details

get_analytics

Get call analytics

get_call_summary

Get call summary

get_call

Get call details

get_transcript

Get call transcript

list_agents

List AI agents

list_bookings

List bookings

list_calls_by_agent

List calls by agent

list_calls

List all calls

list_faqs

List FAQs

list_missed_calls

List missed calls

update_agent

Update an agent

See how to talk to your AI agent using Goodcall.

Show all calls from today and highlight any missed calls that need follow-up.

Today's call summary: 18 total calls handled by your AI agents. 15 answered successfully (83.3% answer rate), 3 missed calls. Missed calls needing follow-up: 1) +1 (555) 234-5678 at 9:14 AM — rang 4 times, no pickup. 2) +1 (555) 876-5432 at 11:02 AM — caller hung up during greeting. 3) +1 (555) 345-6789 at 2:30 PM — voicemail left. 2 bookings made today. Would you like to see the call transcripts or update the agent scripts?

Show me the summary and transcript of the last call handled by the main office agent.

Last call for 'Main Office Agent' (agent_001): call_5678, duration 3m 42s, caller: +1 (555) 901-2345. AI Summary: Customer called about business hours and pricing for a dental cleaning. The agent confirmed operating hours (Mon-Fri 8AM-6PM, Sat 9AM-2PM) and quoted $120 for a standard cleaning. Customer booked an appointment for Thursday at 10AM. Outcome: booking completed. Transcript available — 14 exchanges between caller and agent. Would you like to read the full transcript or check the FAQ entries?

Show analytics for all my agents this month — answer rates, bookings, and total call volume.

Monthly analytics: Total calls: 342. Answer rate: 89.5% (306 answered, 36 missed). Bookings: 78 appointments made (25.5% booking conversion). Average call duration: 2m 48s. Peak hours: 10-11 AM (52 calls) and 2-3 PM (41 calls). Agent breakdown: 1) 'Main Office' — 198 calls, 92% answer rate, 45 bookings. 2) 'After Hours' — 89 calls, 85% answer rate, 22 bookings. 3) 'Spanish Line' — 55 calls, 87% answer rate, 11 bookings. Would you like to update agent scripts or review missed calls?

Yes. Use `get_transcript` with a Call ID to retrieve the full conversation transcript between the AI agent and the caller. For a quick overview, use `get_call_summary` which provides an AI-generated summary with key topics discussed and the call outcome (e.g., booking made, question answered, callback requested).

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