Can I send an SMS message directly from the AI chat?

Yes! Use the `send_sms` tool. Provide the sender number (one of your GoTo Connect numbers), the recipient's number, and the message body. The AI will send the text on your behalf.

How do I check my missed calls or voicemails?

First, you can use `get_me` to confirm your User ID. Then, use `get_call_records` to view your call history (including missed calls) or `list_voicemails` to see if anyone left a message.

Is it possible to lookup extensions for active users?

Yes. Using the directory management tools, you can actively search for any colleague by name or department to fetch their direct extension securely.

GoTo Connect MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: GoTo Connect
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to GoTo Connect through Vinkius, pass the Edge URL in the `mcps` parameter and every GoTo Connect tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="GoTo Connect Specialist",
    goal="Help users interact with GoTo Connect effectively",
    backstory=(
        "You are an expert at leveraging GoTo Connect tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in GoTo Connect "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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

About GoTo Connect MCP Server

Connect your GoTo Connect (formerly Jive) unified communications account to your AI agent and manage your business telephony directly from your workflow. Use natural language to query call histories, send and receive SMS messages, and manage your contacts without opening the GoTo desktop app.

When paired with CrewAI, GoTo Connect becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call GoTo Connect tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Call Records (CDR) — Retrieve detailed call histories for specific users to audit activity or find a missed call
SMS Messaging — Send SMS messages to clients directly from the chat and retrieve conversation histories
Voicemail Management — List recent voicemails and check their transcription status
Device & User Management — Look up active users, their extension numbers, and the status of their assigned devices
Contact Management — Search through your company contacts and add new entries programmatically

The GoTo Connect MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect GoTo Connect to CrewAI via MCP

Follow these steps to integrate the GoTo Connect MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from GoTo Connect

Why Use CrewAI with the GoTo Connect MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with GoTo Connect through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

GoTo Connect + CrewAI Use Cases

Practical scenarios where CrewAI combined with the GoTo Connect MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries GoTo Connect for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries GoTo Connect, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain GoTo Connect tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries GoTo Connect against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

GoTo Connect MCP Tools for CrewAI (12)

These 12 tools become available when you connect GoTo Connect to CrewAI via MCP:

create_contact

Create a new contact

get_call_record

Get details for a specific call record

get_call_records

List call records (history) for a user

get_me

Get details for the currently authenticated GoTo user

get_user

Get details for a specific user

get_voicemail

Get details for a specific voicemail

list_contacts

List a user's contacts

list_devices

List devices associated with a user

list_sms_messages

List SMS messages for a user

list_users

List GoTo Connect users

list_voicemails

List voicemails for a user

send_sms

Send an SMS message via GoTo Connect

Example Prompts for GoTo Connect in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with GoTo Connect immediately.

"Show my recent call records."

"Send a text from my number to +15551234567 saying 'Hi, our meeting is starting in 5 mins'."

"Check if an active voicemail remains for extension 202 unhandled."

Troubleshooting GoTo Connect MCP Server with CrewAI

Common issues when connecting GoTo Connect to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

GoTo Connect + CrewAI FAQ

Common questions about integrating GoTo Connect MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.