Deftship MCP Server
Enables AI clients to quote, ship, track, void, and manage shipments via the Deftship multi-carrier shipping API using natural language commands.
README
Deftship MCP Server
A Model Context Protocol server for the Deftship multi-carrier shipping API. It lets any MCP-capable AI client (Claude Desktop, Claude Code, Cursor, Codex CLI, and others) quote, ship, track, void and manage shipments in natural language using your Deftship API token.
What it can do
The full shipping lifecycle is exposed as tools:
| Domain | Tools |
|---|---|
| Parcel | get rates, create draft, ship, void, get/track, merge labels, mark as shipped, list e-commerce orders |
| Freight | get rates, create draft, ship, void, get/track |
| Pickup | get rates, create, arrange, void, get |
| Insurance | get rate, book, void |
| Batch (beta) | create, add items, remove items, get, ship |
| Account | check balance, address book, validate address, service names, carrier status, create ticket |
A typical flow: deftship_get_parcel_rates → choose a rate_id → deftship_ship_parcel
→ deftship_get_parcel to fetch the label and track it.
Safety guardrails
Because an AI agent can drive this end to end, spending is deliberately hard to do by accident:
- Sandbox by default. With
DEFTSHIP_ENV=sandbox(the default) every operation runs against the isolated sandbox with a $10,000 dummy balance and never touches production. Going live is a deliberate one-line change. - Explicit confirmation. Every tool that spends your balance or is irreversible
(
ship,void,book_insurance,arrange_pickup,ship_batch) refuses to run unless called with"confirm": true, forcing the agent to surface the action to you first. - Honest tool hints. Read-only tools are marked
readOnlyHint; spending tools are markeddestructiveHint, so clients can prompt for approval.
Setup
1. Get an API token
Generate a sandbox token from your Deftship organisation's API page. Use sandbox while you test; switch to a production token only when you are ready to spend real money.
2. Configure your MCP client
Claude Desktop / Claude Code (claude_desktop_config.json or .mcp.json):
{
"mcpServers": {
"deftship": {
"command": "npx",
"args": ["-y", "deftship-mcp"],
"env": {
"DEFTSHIP_API_TOKEN": "bearer-your-token-here",
"DEFTSHIP_ENV": "sandbox"
}
}
}
}
Codex CLI (~/.codex/config.toml):
[mcp_servers.deftship]
command = "npx"
args = ["-y", "deftship-mcp"]
env = { DEFTSHIP_API_TOKEN = "bearer-your-token-here", DEFTSHIP_ENV = "sandbox" }
Cursor (.cursor/mcp.json): same shape as the Claude example above.
Environment variables
| Variable | Required | Default | Description |
|---|---|---|---|
DEFTSHIP_API_TOKEN |
yes | — | Your Deftship API token. |
DEFTSHIP_ENV |
no | sandbox |
sandbox or production. Determines the base URL. |
DEFTSHIP_BASE_URL |
no | derived | Override the API base URL entirely (takes precedence over DEFTSHIP_ENV). |
Local development
npm install
npm run build # compile TypeScript to dist/
npm run dev # watch mode
DEFTSHIP_API_TOKEN=bearer-... npm start
The server speaks MCP over stdio. Do not write anything to stdout in tool code — stdout carries the JSON-RPC stream; diagnostics go to stderr.
Project structure
src/
config.ts env parsing, sandbox/production base URL resolution
http.ts fetch wrapper: auth, error + rate-limit normalization
schemas.ts shared Zod schemas (address, package, item, ...)
server.ts assembles the server and registers all tool modules
index.ts stdio entry point
tools/
helpers.ts registration wrapper, confirm gate, result formatting
parcel.ts freight.ts pickup.ts insurance.ts batch.ts account.ts
Tool schemas mirror the field tables in the official Deftship developer docs.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.