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 LangChain 9 tools — connect in under 2 minutes

Name: ConnectWise
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect ConnectWise through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "connectwise": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using ConnectWise, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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.

LangChain's ecosystem of 500+ components combines seamlessly with ConnectWise through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the ConnectWise MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from ConnectWise via MCP

Why Use LangChain with the ConnectWise MCP Server

LangChain provides unique advantages when paired with ConnectWise through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine ConnectWise MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across ConnectWise queries for multi-turn workflows

ConnectWise + LangChain Use Cases

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

RAG with live data: combine ConnectWise tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query ConnectWise, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain ConnectWise tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every ConnectWise tool call, measure latency, and optimize your agent's performance

ConnectWise MCP Tools for LangChain (9)

These 9 tools become available when you connect ConnectWise to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting ConnectWise to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

ConnectWise + LangChain FAQ

Common questions about integrating ConnectWise MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.