How do I securely obtain my ConnectWise API Keys and Company ID?

Log into your ConnectWise Manage instance. Note your 'Company ID' prominently displayed on the login screen. Then navigate securely via the internal system module down under 'System' > 'Members', find the specialized sub-tab marked 'API Members'. Create a new specific role API member for this AI, and within its configuration, strictly establish a new API Key generation. This will output a matched pair containing your 'Public Key' and your strictly secured 'Private Key'. Securely provide all thre

Will the agent close tickets automatically, or must I specifically instruct it to change the status?

The AI remains tightly compliant to your direct prompts. It will not spontaneously close unprompted tickets or mutate parameters heavily without instruction. You must expressly request 'Change ticket X status to Closed' ensuring governance, compliance, and accurate logging remains strictly under your control at all times during interactive use.

Can I query client configurations or passwords with this active integration?

Configurational details such as device types and basic network data models are queryable if permissions via API permit, but sensitive field extraction like retrieving unencrypted passwords directly inside the dialog typically stays strictly masked or gated, abiding exclusively by your ConnectWise native security role allowances configured previously inside the specific 'API Member' settings during your setup.

ConnectWise MCP Server for CrewAI 9 tools — connect in under 2 minutes

Name: ConnectWise
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to ConnectWise through Vinkius, pass the Edge URL in the `mcps` parameter and every ConnectWise 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="ConnectWise Specialist",
    goal="Help users interact with ConnectWise effectively",
    backstory=(
        "You are an expert at leveraging ConnectWise 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 ConnectWise "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

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

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

About ConnectWise MCP Server

Empower your conversational AI with deep integration into ConnectWise Manage (PSA). Enhance technical support operations by enabling your agent to triage issues, update existing service tickets, and retrieve critical client environment data without leaving your conversational interface.

When paired with CrewAI, ConnectWise becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ConnectWise 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

Ticketing Operations — Rapidly inspect queue statuses, assign incoming tickets, or update internal notes naturally.
Asset & Configuration Retrieval — Look up devices, configurations, and agreements associated with a specific managed client.
Billing & Time Entries — Log billable technical time or adjust status workflows directly through the chat.

The ConnectWise MCP Server exposes 9 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 ConnectWise to CrewAI via MCP

Follow these steps to integrate the ConnectWise 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 9 tools from ConnectWise

Why Use CrewAI with the ConnectWise MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with ConnectWise 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

ConnectWise + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries ConnectWise 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 ConnectWise, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain ConnectWise 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 ConnectWise against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

ConnectWise MCP Tools for CrewAI (9)

These 9 tools become available when you connect ConnectWise to CrewAI via MCP:

create_ticket

Create a new service ticket in ConnectWise Manage

get_company

Returns name, contact info, territory, and status. Retrieve detailed information about a specific company

get_ticket

Returns summary, priority, status, assigned member, and notes. Retrieve detailed information about a specific service ticket

list_companies

Use to discover company identifiers for ticket creation. Retrieve a list of companies/clients in ConnectWise

list_contacts

Use to find external contact details. Retrieve a list of individual contacts within companies

list_members

Retrieve a list of internal staff members

list_sales_activities

Retrieve a list of sales and service activities

list_service_tickets

Supports pagination via pageSize. Retrieve a list of service tickets from ConnectWise Manage

search_tickets_by_summary

Useful for finding tickets by keyword. Find service tickets matching a keyword in the summary

Example Prompts for ConnectWise in CrewAI

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

"Show me the top 3 open critical tickets currently on the 'Helpdesk' board."

"Enter a time entry of 1.5 hours for ticket #13988 with the notes 'Reconfigured firewall rules to establish stable VPN tunnels.' and mark the ticket as closed."

"Retrieve the billing details and active agreements for the client 'Globex Corporation' to prepare for an audit."

Troubleshooting ConnectWise MCP Server with CrewAI

Common issues when connecting ConnectWise 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.

ConnectWise + CrewAI FAQ

Common questions about integrating ConnectWise 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.