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DeskDay MCP Server

DeskDay is an AI-native PSA for MSPs and IT teams. It combines a chat-based service desk, time tracking, billing and contracts, and reporting in one platform. The DeskDay connector lets technicians and service managers work on tickets, time and invoices from Claude in plain language, without switching screens.

What you can do

Service desk: find, create, update and close tickets, and apply SLAs SLA monitoring: check SLA status across tickets and review SLA performance Customers and contacts: look up and manage customers, sites and end users Time tracking: log and edit time on tickets and review timesheets Billing: review invoices, update invoice status, record payments and track billing metrics Attachments and automation: add or retrieve ticket files and manage webhooks

Try asking

"Which open tickets are about to breach SLA today?" "Create a ticket for Acme: Outlook not syncing on the front desk PC" "Log 45 minutes on ticket 1234 for the printer fix" "Which invoices for Acme are still unpaid?"

The connector can only reach the signed-in user's MSP tenant. Tools that read data are kept separate from tools that change it, so it's always clear when Claude is about to update your records.

Publisher claimed. 37 tools reported by the publisher. Pod has not connected to this server, so nothing here is verified.

Categorised under productivity, communication, data-analytics, financial-services. Published by deskday.com.

At a glance

Available in: claude, claude-api, claude-code, claude-desktop

Documentation: Open docs

Status

Pod has not dialled DeskDay yet, so everything on this page is what its publisher reported rather than what we observed. Registries describe servers; they do not connect to them. Until a check runs, treat the tool list below as a claim.

Tools

Its publisher lists 37 tools. Pod has not verified these against the live server yet.

Show all 37 publisher-reported tools
  • deskday_apply_ticket_sla
  • deskday_close_ticket
  • deskday_create_customer
  • deskday_create_ticket
  • deskday_create_time_entry
  • deskday_create_user
  • deskday_create_webhook
  • deskday_delete_webhook
  • deskday_get_attachment
  • deskday_get_billing_statistics
  • deskday_get_bulk_sla_status
  • deskday_get_customer
  • deskday_get_invoice
  • deskday_get_sla_statistics
  • deskday_get_ticket
  • deskday_get_ticket_sla_status
  • deskday_get_time_entry
  • deskday_get_user
  • deskday_get_webhook
  • deskday_list_customer_sites
  • deskday_list_customers
  • deskday_list_invoices
  • deskday_list_reference
  • deskday_list_ticket_attachments
  • deskday_list_tickets
  • deskday_list_time_entries
  • deskday_list_users
  • deskday_list_webhooks
  • deskday_ping
  • deskday_record_invoice_payment
  • deskday_update_customer
  • deskday_update_invoice_status
  • deskday_update_ticket
  • deskday_update_time_entry
  • deskday_update_user
  • deskday_update_webhook
  • deskday_upload_attachment

Connect

A hosted endpoint at https://mcp.deskday.ai/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "deskday": {
      "type": "http",
      "url": "https://mcp.deskday.ai/mcp"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used DeskDay yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

Related servers

For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find DeskDay, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "DeskDay",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=DeskDay' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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