FedEx MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FedEx as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 FedEx. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in FedEx?"
)
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 FedEx MCP Server
What you can do
Connect AI agents to the FedEx API suite for end-to-end logistics management:
LlamaIndex agents combine FedEx tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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.
- Track packages in real-time with detailed scan history and delivery estimates
- Track multiple packages simultaneously for batch monitoring
- Get shipping rates across all FedEx services (Express, Ground, Freight)
- Create shipments and generate shipping labels directly
- Validate addresses to prevent delivery failures
- Find nearby FedEx locations (offices, drop boxes, ship centers)
- Verify postal codes and check service availability between locations
- Get proof of delivery documents for completed shipments
The FedEx MCP Server exposes 9 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 FedEx to LlamaIndex via MCP
Follow these steps to integrate the FedEx 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 9 tools from FedEx
Why Use LlamaIndex with the FedEx MCP Server
LlamaIndex provides unique advantages when paired with FedEx through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine FedEx tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain FedEx tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query FedEx, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what FedEx tools were called, what data was returned, and how it influenced the final answer
FedEx + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the FedEx MCP Server delivers measurable value.
Hybrid search: combine FedEx real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query FedEx 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 FedEx for fresh data
Analytical workflows: chain FedEx queries with LlamaIndex's data connectors to build multi-source analytical reports
FedEx MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect FedEx to LlamaIndex via MCP:
check_service_availability
Includes service names, transit times, and availability status. Use this to verify if Express, Ground, or Freight services operate between specific postal codes before quoting or booking shipments. Check if FedEx shipping services are available between two locations
create_shipment
Requires shipper/recipient details, package weight/dimensions, and service type. Returns tracking number, label format, and estimated delivery date. Use this to generate labels for outbound shipments or process returns. Create a FedEx shipment and generate a shipping label
find_locations
Includes location type (FedEx Office, Ship Center, Drop Box), address, hours of operation, and services offered. Use this to find where to drop off packages, print labels, or access packing supplies. Find nearby FedEx locations (drop-off points, offices, or drop boxes)
get_postal_code
Use this to verify postal codes before shipping or to resolve ambiguous addresses. Validate a postal/ZIP code and get location details
get_proof_of_delivery
Returns POD image URL, delivery date, recipient name, and signature status. Use this to confirm successful delivery for billing disputes, insurance claims, or customer inquiries. Get proof of delivery (POD) document for a delivered FedEx package
get_rates
Requires origin/destination postal codes, package weight, and dimensions. Returns service type, rate, currency, and estimated delivery date. Use this to compare shipping costs or choose the most economical service. Get shipping rates and transit times for FedEx services
track_multiple_packages
Returns an array of results with status, scans, and delivery info for each. Requires an array of tracking numbers. Use this for batch monitoring of multiple shipments or checking the status of a multi-piece delivery. Track multiple FedEx packages in a single request
track_package
Requires the 12-15 digit tracking number. Use this to monitor shipment progress, verify delivery, or investigate delays. Track a single FedEx package by tracking number
validate_address
Returns standardized format, validation status, and suggestions if the address is incorrect. Requires street lines, city, state, and postal code. Use this to prevent delivery failures, correct typos in addresses, or verify international addresses before shipping. Validate and standardize a shipping address with FedEx
Example Prompts for FedEx in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with FedEx immediately.
"Track package 123456789012 and tell me when it will be delivered"
"How much to ship a 5lb box from 10001 to 90210 via FedEx Ground?"
"Find the nearest FedEx drop-off location to 37201"
Troubleshooting FedEx MCP Server with LlamaIndex
Common issues when connecting FedEx to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFedEx + LlamaIndex FAQ
Common questions about integrating FedEx 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?
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Connect FedEx to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.