BEA (Bureau of Economic Analysis) MCP Server for LlamaIndexGive LlamaIndex instant access to 4 tools to Get Data, Get Dataset List, Get Parameter List, and more

Name: BEA (Bureau of Economic Analysis)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BEA (Bureau of Economic Analysis) 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

Open in ChatGPT Open in Claude Open in Perplexity

The BEA (Bureau of Economic Analysis) MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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 BEA (Bureau of Economic Analysis). "
            "You have 4 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in BEA (Bureau of Economic Analysis)?"
    )
    print(response)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 BEA (Bureau of Economic Analysis) MCP Server

The BEA (Bureau of Economic Analysis) MCP server provides a direct bridge to one of the world's most comprehensive sources of economic data. Empower your AI agent to retrieve, analyze, and report on the health of the US economy with precision.

LlamaIndex agents combine BEA (Bureau of Economic Analysis) 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

Dataset Discovery — Browse all available economic datasets including NIPA (National Income and Product Accounts), Regional, and Industry data.
Parameter Exploration — Identify the specific filters and variables required for any dataset to ensure accurate queries.
Valid Value Lookup — Retrieve lists of valid codes for parameters like TableID or Frequency to avoid API errors.
Data Retrieval — Fetch raw economic figures, growth rates, and historical statistics directly into your conversation or analysis tool.

The BEA (Bureau of Economic Analysis) 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 BEA (Bureau of Economic Analysis) tools available for LlamaIndex

When LlamaIndex connects to BEA (Bureau of Economic Analysis) through Vinkius, your AI agent gets direct access to every tool listed below — spanning economic-data, gdp, macroeconomics, 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.

get

Get data on BEA (Bureau of Economic Analysis)

Pass dataset-specific parameters as a JSON string. Retrieve economic data from a BEA dataset

get

Get dataset list on BEA (Bureau of Economic Analysis)

g., NIPA, Regional, GDPByIndustry). List available BEA datasets

get

Get parameter list on BEA (Bureau of Economic Analysis)

List parameters for a specific BEA dataset

get

Get parameter values on BEA (Bureau of Economic Analysis)

List valid values for a BEA dataset parameter

Connect BEA (Bureau of Economic Analysis) to LlamaIndex via MCP

Follow these steps to wire BEA (Bureau of Economic Analysis) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 4 tools from BEA (Bureau of Economic Analysis)

Why Use LlamaIndex with the BEA (Bureau of Economic Analysis) MCP Server

LlamaIndex provides unique advantages when paired with BEA (Bureau of Economic Analysis) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine BEA (Bureau of Economic Analysis) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain BEA (Bureau of Economic Analysis) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query BEA (Bureau of Economic Analysis), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what BEA (Bureau of Economic Analysis) tools were called, what data was returned, and how it influenced the final answer

BEA (Bureau of Economic Analysis) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the BEA (Bureau of Economic Analysis) MCP Server delivers measurable value.

Hybrid search: combine BEA (Bureau of Economic Analysis) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query BEA (Bureau of Economic Analysis) 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 BEA (Bureau of Economic Analysis) for fresh data

Analytical workflows: chain BEA (Bureau of Economic Analysis) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for BEA (Bureau of Economic Analysis) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with BEA (Bureau of Economic Analysis) immediately.

"Show me all the available datasets from the Bureau of Economic Analysis."

"What parameters do I need to query the NIPA dataset?"

"Get the GDP data for 2023 from the NIPA dataset using Table T10101."

Troubleshooting BEA (Bureau of Economic Analysis) MCP Server with LlamaIndex

Common issues when connecting BEA (Bureau of Economic Analysis) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

BEA (Bureau of Economic Analysis) + LlamaIndex FAQ

Common questions about integrating BEA (Bureau of Economic Analysis) MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query BEA (Bureau of Economic Analysis) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.