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USITC DataWeb (International Trade Commission) MCP Server for LlamaIndexGive LlamaIndex instant access to 4 tools to List Metadata Fields, List Metadata Tables, List Metadata Values, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add USITC DataWeb (International Trade Commission) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

The USITC DataWeb (International Trade Commission) MCP Server for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 4 tools to work with, ready to go from day one.

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python
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 USITC DataWeb (International Trade Commission). "
            "You have 4 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in USITC DataWeb (International Trade Commission)?"
    )
    print(response)

asyncio.run(main())
USITC DataWeb (International Trade Commission)
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* 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 USITC DataWeb (International Trade Commission) MCP Server

Connect to the USITC DataWeb to retrieve official US international trade data. This server allows AI agents to perform complex queries on trade statistics, including imports, exports, and trade balances across various classification systems like HS, SITC, and NAICS.

LlamaIndex agents combine USITC DataWeb (International Trade Commission) tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through 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

  • Trade Data Queries — Fetch detailed statistics by commodity, country, and time period using the query_trade_data tool.
  • Metadata Exploration — List available data tables, fields, and valid values (like country codes or commodity levels) to build precise queries.
  • Classification Support — Work with Harmonized Tariff Schedule (HS), SITC, or NAICS codes at various digit levels.
  • Time-Series Analysis — Retrieve annual or monthly data to analyze trade trends over time.

The USITC DataWeb (International Trade Commission) MCP Server exposes 4 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 USITC DataWeb (International Trade Commission) tools available for LlamaIndex

When LlamaIndex connects to USITC DataWeb (International Trade Commission) through Vinkius, your AI agent gets direct access to every tool listed below — spanning international-trade, import-export, tariff-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

list

List metadata fields on USITC DataWeb (International Trade Commission)

List fields available for a specific table

list

List metadata tables on USITC DataWeb (International Trade Commission)

List available data tables

list

List metadata values on USITC DataWeb (International Trade Commission)

g., a list of all valid country codes). List valid values for a specific field within a table

query

Query trade data on USITC DataWeb (International Trade Commission)

Uses POST to support large filter sets. Query USITC trade statistics

Connect USITC DataWeb (International Trade Commission) to LlamaIndex via MCP

Follow these steps to wire USITC DataWeb (International Trade Commission) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 4 tools from USITC DataWeb (International Trade Commission)

Why Use LlamaIndex with the USITC DataWeb (International Trade Commission) MCP Server

LlamaIndex provides unique advantages when paired with USITC DataWeb (International Trade Commission) through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine USITC DataWeb (International Trade Commission) tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain USITC DataWeb (International Trade Commission) tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query USITC DataWeb (International Trade Commission), a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what USITC DataWeb (International Trade Commission) tools were called, what data was returned, and how it influenced the final answer

USITC DataWeb (International Trade Commission) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the USITC DataWeb (International Trade Commission) MCP Server delivers measurable value.

01

Hybrid search: combine USITC DataWeb (International Trade Commission) real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query USITC DataWeb (International Trade Commission) to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying USITC DataWeb (International Trade Commission) for fresh data

04

Analytical workflows: chain USITC DataWeb (International Trade Commission) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for USITC DataWeb (International Trade Commission) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with USITC DataWeb (International Trade Commission) immediately.

01

"List all available metadata tables from USITC DataWeb."

02

"Show me the fields available for the 'imports' table."

03

"Query trade data for HS code '01' from Canada (1220) for the year 2022."

Troubleshooting USITC DataWeb (International Trade Commission) MCP Server with LlamaIndex

Common issues when connecting USITC DataWeb (International Trade Commission) to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

USITC DataWeb (International Trade Commission) + LlamaIndex FAQ

Common questions about integrating USITC DataWeb (International Trade Commission) MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query USITC DataWeb (International Trade Commission) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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