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Query ConnectWise Manage data in natural language with read-only AI access.
This appears to be an open-source, MIT-licensed Docker-based MCP bridge. Its main concerns are the inherent code-execution behavior and access to ConnectWise data, so it is better classified as caution rather than high risk. Documentation is sparse, there is no README, and community adoption is minimal, so remote connectivity and authentication details should be verified in an isolated review first.
The material says there are no required keys or environment variables, but the tool claims to access ConnectWise Manage data, and the actual authentication model is not described. There is no direct evidence that it asks for local sensitive secrets, but you should verify whether tokens are implicitly provided via Docker config, runtime arguments, or external sessions.
No remote endpoint is listed, but based on the stated function, this bridge likely sends queries to ConnectWise Manage-related services. That creates the normal risk of sending user queries or business data to a third-party SaaS. Because the docs do not specify target domains, data scope, or minimization behavior, this should be verified.
The system check explicitly marks it as executes-code, and the description says it is a Docker-based MCP bridge, which means it runs a local/containerized service process. This is a normal MCP capability; the provided material does not show requests for system privileges beyond the stated purpose or obvious malicious execution behavior.
The description says it provides read-only access to ConnectWise Manage data such as companies, tickets, and contacts, so it can access business/customer records. There is no stated local file read/write scope and no claim of write-back or modification of remote data; the main concern is visibility into business data rather than obvious over-privilege.
It has a public GitHub repository and an MIT open-source license, which is a meaningful positive factor for auditability. However, it comes from a third-party registry, has 0 stars, unknown maintenance status, and almost no documentation beyond a one-line description, so supply-chain transparency and maturity are limited; review the source and image build process first.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ConnectWise MCP Server" yet — see the docs or source repo.
Connect to the ConnectWise MCP Server and list tickets created in the last 7 days that are still open. Sort them by priority and creation time, and return the ticket ID, title, company name, owner, and status.
A structured list of open tickets for quick follow-up and triage.
Use the ConnectWise MCP Server to retrieve the contact list for 'Acme Corp'. Return each contact's name, title, email, phone number, and whether they are the primary contact, grouped by role.
A role-grouped contact directory for sales or support reference.
Read ticket data for the company 'Northwind' in ConnectWise Manage and summarize the number of currently open tickets, the status breakdown, the 5 most recently closed tickets, and the most common issue types.
A concise support-status summary suitable for weekly reports or client updates.
Connect to ConnectWise Automate to manage devices, alerts, clients, and scripts.
Run ConnectWise PSA workflows offline from the terminal with typed queries.
Sync ConnectWise Automate data to SQLite for offline cross-client RMM analysis.
Connect CRM, tickets, and channels for AI-powered customer support automation.
Connect Confluence and Jira for project context, issue management, and documentation.
Manage Jira Cloud projects, issues, boards, and workflows using natural language.