How to Use the EasyPost MCP in LangChain
Stop manually digging through shipping APIs; hook this EasyPost MCP Server directly to your LangChain runnables.
Works with every AI agent you already use
…and any MCP-compatible client
Connect EasyPost MCP to LangChain
Create your Vinkius account to connect EasyPost to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Run sequential shipping checks in LangChain
The `quick_delivery_health_audit` tool fetches your overall delivery metrics to pinpoint failing transit lanes instantly. This tool gives your agent a high-level operational baseline before it dives deeper into specific failures. Look, here's the deal. Your agent takes that audit data, passes it to the next step in your LangChain graph, and runs `list_in_transit_packages` to isolate stalled shipments. No manual script writing is needed.
Trace package statuses through LangChain chains
The `get_tracking_details` tool retrieves real-time transit events for any package using its unique identifier. This tool feeds raw tracking states directly into your LangChain agent's working memory. Run `search_by_tracking_code` first if you only have the raw carrier string. From there, your chain pipes the payload straight into LangSmith so you can inspect the exact tool inputs and outputs. Stop guessing where packages are.
Inspect carrier rates inside your LangChain pipelines
The `get_shipment_details` tool pulls active rates and package dimensions for any shipment in your account. Your LangChain agent runs this to compare carrier pricing dynamically before booking. Combine this with `list_carrier_accounts` to see which shippers are active. This MCP server handles the API authentication, letting your chain focus on choosing the cheapest rate.
Set up EasyPost MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create a ReAct agent
Pass the discovered tools to
create_react_agent()from LangGraph. The agent automatically routes EasyPost tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"easypost-mcp": {
"transport": "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,
)
result = await agent.ainvoke({
"messages": "List recent EasyPost transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EasyPost. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about EasyPost MCP in LangChain
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the EasyPost MCP today
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