2,500+ MCP servers ready to use
Vinkius

FRED Categories — Economic Data Taxonomy MCP Server for LlamaIndex 4 tools — connect in under 2 minutes

Built by Vinkius GDPR 4 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FRED Categories — Economic Data Taxonomy as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

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 FRED Categories — Economic Data Taxonomy. "
            "You have 4 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in FRED Categories — Economic Data Taxonomy?"
    )
    print(response)

asyncio.run(main())
FRED Categories — Economic Data Taxonomy
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 FRED Categories — Economic Data Taxonomy MCP Server

Explore FRED like a library. The Categories server lets your AI agent navigate the entire FRED taxonomy tree — from the root down to individual series.

LlamaIndex agents combine FRED Categories — Economic Data Taxonomy 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

  • Browse the Tree — Start from root (category 0) and drill into 8 top-level domains
  • Discover Series — Find all series within any category, sorted by popularity
  • Tag Filtering — Get tags for any category to understand available dimensions

Top-Level Categories

32991 Money, Banking & Finance · 10 Population & Employment · 32992 National Accounts · 1 Production & Business · 32455 Prices · 32263 International · 33060 Academic Data

The FRED Categories — Economic Data Taxonomy MCP Server exposes 4 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 FRED Categories — Economic Data Taxonomy to LlamaIndex via MCP

Follow these steps to integrate the FRED Categories — Economic Data Taxonomy MCP Server with LlamaIndex.

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 FRED Categories — Economic Data Taxonomy

Why Use LlamaIndex with the FRED Categories — Economic Data Taxonomy MCP Server

LlamaIndex provides unique advantages when paired with FRED Categories — Economic Data Taxonomy through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine FRED Categories — Economic Data Taxonomy tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain FRED Categories — Economic Data Taxonomy tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query FRED Categories — Economic Data Taxonomy, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what FRED Categories — Economic Data Taxonomy tools were called, what data was returned, and how it influenced the final answer

FRED Categories — Economic Data Taxonomy + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the FRED Categories — Economic Data Taxonomy MCP Server delivers measurable value.

01

Hybrid search: combine FRED Categories — Economic Data Taxonomy real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query FRED Categories — Economic Data Taxonomy 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 FRED Categories — Economic Data Taxonomy for fresh data

04

Analytical workflows: chain FRED Categories — Economic Data Taxonomy queries with LlamaIndex's data connectors to build multi-source analytical reports

FRED Categories — Economic Data Taxonomy MCP Tools for LlamaIndex (4)

These 4 tools become available when you connect FRED Categories — Economic Data Taxonomy to LlamaIndex via MCP:

01

get_category

Root category is 0. Major categories: 32991 (Money, Banking, & Finance), 10 (Population, Employment, & Labor Markets), 32992 (National Accounts), 1 (Production & Business Activity), 32455 (Prices). Get a FRED category by ID

02

get_category_children

Start from root (0) to explore all top-level categories, then drill down. This is the primary way to discover what data FRED has. Get child categories of a FRED category

03

get_category_series

Use with category IDs discovered via get_category_children. Supports filtering by frequency, units, and tags. Get series within a FRED category

04

get_category_tags

Useful for understanding what data dimensions are available and for filtering series. Get tags for a FRED category

Example Prompts for FRED Categories — Economic Data Taxonomy in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with FRED Categories — Economic Data Taxonomy immediately.

01

"What are the main categories of economic data in FRED?"

02

"What inflation-related series are available?"

03

"Navigate to the interest rates subcategory"

Troubleshooting FRED Categories — Economic Data Taxonomy MCP Server with LlamaIndex

Common issues when connecting FRED Categories — Economic Data Taxonomy to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

FRED Categories — Economic Data Taxonomy + LlamaIndex FAQ

Common questions about integrating FRED Categories — Economic Data Taxonomy 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 FRED Categories — Economic Data Taxonomy 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.

Connect FRED Categories — Economic Data Taxonomy to LlamaIndex

Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.