Pod

Available as Markdown and JSON. Pod is also available over MCP.

Shipday MCP Server

Connect your Shipday account to compatible AI assistants through the Model Context Protocol (MCP).

Shipday helps restaurants, retailers, and delivery companies manage local delivery orders, coordinate drivers, and track deliveries. This server brings supported Shipday capabilities into your AI assistant, allowing you to access delivery information and work with your delivery operations through natural language.

Publisher claimed. 4 tools reported by the publisher. Pod has not connected to this server, so nothing here is verified.

Categorised under data-analytics, productivity, commerce, other. Published by shipday.com.

At a glance

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

Documentation: Open docs

Status

Pod has not dialled Shipday 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 4 tools. Pod has not verified these against the live server yet.

Connect

A hosted endpoint at https://api.shipday.com/v2/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "shipday": {
      "type": "http",
      "url": "https://api.shipday.com/v2/mcp"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used Shipday 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 Shipday, 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": "Shipday",
  "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=Shipday' \
  --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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