3,400+ MCP servers ready to use
Vinkius

Bring Virtual Receptionist
to Claude Code

Learn how to connect Goodcall to Claude Code and start using 13 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Check Goodcall StatusGet AgentGet AnalyticsGet CallGet Call SummaryGet TranscriptList AgentsList BookingsList CallsList Calls By AgentList FaqsList Missed CallsUpdate Agent
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the Goodcall MCP Server?

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

Built-in capabilities (13)

check_goodcall_status

Verify connectivity

get_agent

Get agent details

get_analytics

Get call analytics

get_call

Get call details

get_call_summary

Get call summary

get_transcript

Get call transcript

list_agents

List AI agents

list_bookings

List bookings

list_calls

List all calls

list_calls_by_agent

List calls by agent

list_faqs

List FAQs

list_missed_calls

List missed calls

update_agent

Update an agent

Why Claude Code?

Claude Code registers Goodcall as an MCP server in a single terminal command. Once connected, Claude Code discovers all 13 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Goodcall data drives decisions without human intervention.

  • —

    Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart

  • —

    Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

  • —

    Claude Code runs headlessly, enabling unattended batch processing using Goodcall tools in cron jobs or deployment scripts

  • —

    Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

Goodcall in Claude Code

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Goodcall and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Goodcall to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for Claude Code →
Enterprise Security

Why teams choose Vinkius for Goodcall in Claude Code

The Goodcall MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 13 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Use with Your AI Agent View full Goodcall details →
Goodcall
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures Goodcall for Claude Code

Every tool call from Claude Code to the Goodcall MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I review what my AI phone agent said during a customer call?

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).

02

Can I track missed calls and see which ones need follow-up?

Yes. The list_missed_calls tool retrieves all calls that were missed or abandoned, including caller phone number, timestamp, and any partial interaction data. This helps you prioritize follow-up callbacks and identify peak call times when your agents may be overloaded.

03

Can I see appointments booked by the AI agent during calls?

Yes. The list_bookings tool retrieves all appointments booked by the AI agent during customer calls, including date, time, caller details, and the associated call ID. Use get_analytics to track your booking conversion rate — the percentage of calls that result in a scheduled appointment.

04

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.

05

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

06

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

07

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable