EasyPost MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add EasyPost as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to EasyPost. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in EasyPost?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About EasyPost MCP Server
Integrate EasyPost, the leading shipping API for e-commerce, directly into your AI workflow. Manage your outbound shipments and carrier rates, track packages in real-time with detailed event logs, monitor your connected carrier accounts (UPS, FedEx, USPS, etc.), and oversee your shipping addresses using natural language.
LlamaIndex agents combine EasyPost tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Shipment Oversight — List and retrieve detailed information, rates, and carrier options for all your logistics shipments.
- Real-time Tracking — Monitor active trackers, resolving real-time transit statuses, checkpoint events, and estimated delivery dates.
- Carrier Management — Access and monitor all connected carrier accounts, verifying active service capability boundaries across your fleet.
- Delivery Auditing — Retrieve high-level summaries of shipment activity, success rates, and identify packages currently in transit.
The EasyPost MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect EasyPost to LlamaIndex via MCP
Follow these steps to integrate the EasyPost MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from EasyPost
Why Use LlamaIndex with the EasyPost MCP Server
LlamaIndex provides unique advantages when paired with EasyPost through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine EasyPost tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain EasyPost tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query EasyPost, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what EasyPost tools were called, what data was returned, and how it influenced the final answer
EasyPost + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the EasyPost MCP Server delivers measurable value.
Hybrid search: combine EasyPost real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query EasyPost to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying EasyPost for fresh data
Analytical workflows: chain EasyPost queries with LlamaIndex's data connectors to build multi-source analytical reports
EasyPost MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect EasyPost to LlamaIndex via MCP:
get_easypost_account_metadata
Retrieve metadata and usage limits for your EasyPost account
get_shipment_details
Get detailed information and rates for a specific shipment
get_tracking_details
Get real-time tracking events and status for a specific tracker
list_active_trackers
List all active tracking objects in your account
list_carrier_accounts
List all connected carrier accounts (e.g. UPS, FedEx, USPS)
list_in_transit_packages
Identify shipments that are currently in transit with a carrier
list_latest_shipments
Identify the most recently created shipments
list_shipping_shipments
List all shipments created in your EasyPost account
quick_delivery_health_audit
Retrieve a high-level summary of shipment activity and delivery success rates
search_by_tracking_code
Search for a tracker using a specific tracking code
Example Prompts for EasyPost in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with EasyPost immediately.
"List all active package trackers."
"Show me the details for shipment 'shp_998877'."
"Which carrier accounts are connected to my account?"
Troubleshooting EasyPost MCP Server with LlamaIndex
Common issues when connecting EasyPost to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEasyPost + LlamaIndex FAQ
Common questions about integrating EasyPost MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect EasyPost with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect EasyPost to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.