Why choose the Full server instead of individual ones?

The Full server bundles **all 19 tools** from all 5 domain-specific servers in a single integration. Ideal for multi-disciplinary AI agents that need to combine time series data with regional analysis, release monitoring, and tag-based discovery — all in one query session.

FRED Full Access — U.S. Economic Intelligence MCP Server for LlamaIndex 19 tools — connect in under 2 minutes

Name: FRED Full Access — U.S. Economic Intelligence
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 19 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FRED Full Access — U.S. Economic Intelligence 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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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 Full Access — U.S. Economic Intelligence. "
            "You have 19 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in FRED Full Access — U.S. Economic Intelligence?"
    )
    print(response)

asyncio.run(main())

FRED Full Access — U.S. Economic Intelligence

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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 Full Access — U.S. Economic Intelligence MCP Server

The definitive Mega-Server for U.S. economic intelligence. Why install 5 servers when one does it all?

LlamaIndex agents combine FRED Full Access — U.S. Economic Intelligence tool responses with indexed documents for comprehensive, grounded answers. Connect 19 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

📊 Series (5 tools) — Search, retrieve data, metadata, updates, and vintage revisions for 816,000+ time series
📰 Releases (4 tools) — Track economic data releases, dates, and discover series within each release
📁 Categories (4 tools) — Navigate the FRED taxonomy tree to discover and filter data
🗺 GeoFRED (3 tools) — Regional economic data by state, county, MSA, and Fed district
🏷 Tags & Sources (3 tools) — Intelligent tag-based discovery + all 107 official data providers

Popular Series

GDP · UNRATE · CPIAUCSL · FEDFUNDS · DGS10 · SP500 · M2SL · MORTGAGE30US

The FRED Full Access — U.S. Economic Intelligence MCP Server exposes 19 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 Full Access — U.S. Economic Intelligence to LlamaIndex via MCP

Follow these steps to integrate the FRED Full Access — U.S. Economic Intelligence 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 19 tools from FRED Full Access — U.S. Economic Intelligence

Why Use LlamaIndex with the FRED Full Access — U.S. Economic Intelligence MCP Server

LlamaIndex provides unique advantages when paired with FRED Full Access — U.S. Economic Intelligence through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine FRED Full Access — U.S. Economic Intelligence tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain FRED Full Access — U.S. Economic Intelligence tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query FRED Full Access — U.S. Economic Intelligence, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what FRED Full Access — U.S. Economic Intelligence tools were called, what data was returned, and how it influenced the final answer

FRED Full Access — U.S. Economic Intelligence + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the FRED Full Access — U.S. Economic Intelligence MCP Server delivers measurable value.

Hybrid search: combine FRED Full Access — U.S. Economic Intelligence real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query FRED Full Access — U.S. Economic Intelligence 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 FRED Full Access — U.S. Economic Intelligence for fresh data

Analytical workflows: chain FRED Full Access — U.S. Economic Intelligence queries with LlamaIndex's data connectors to build multi-source analytical reports

FRED Full Access — U.S. Economic Intelligence MCP Tools for LlamaIndex (19)

These 19 tools become available when you connect FRED Full Access — U.S. Economic Intelligence to LlamaIndex via MCP:

get_category

Key: 32991 (Money/Banking), 10 (Employment), 32992 (National Accounts), 32455 (Prices). Get a FRED category by ID

get_category_children

Start from root (0) to explore top-level categories. Get child categories of a category

get_category_series

Supports filtering by frequency, units, and tags. Get series within a category

get_category_tags

Get tags for a category

get_geo_shapes

Shapes: bea, msa, frb, necta, state, country, county, censusregion. Get geographic shape files for mapping

get_observations

Supports date filtering, unit transformations (pch, log), and frequency aggregation. Get actual data values for a FRED time series

get_regional_data

Use get_series_group first to find the series_group ID. Get cross-sectional regional economic data

get_release

IDs: 10 (Employment), 53 (GDP), 46 (CPI). Get details for a specific release

get_release_dates

Omit release_id for full economic calendar. Get release dates for economic data

get_release_series

Release 10 contains UNRATE, PAYEMS, and hundreds more. Get all series within a release

get_series

Use IDs like GDP, UNRATE, CPIAUCSL, FEDFUNDS, DGS10. Get metadata for a specific FRED series

get_series_by_tags

Example: usa;gdp returns US GDP series. Get series matching specific tags

get_series_group

Enter a FRED series ID to discover the group ID. Get series group info for GeoFRED

get_series_updates

Filter by macro or regional. Get recently updated FRED series

get_vintage_dates

Essential for ALFRED-style vintage analysis. Get historical revision dates for a series

list_releases

List all FRED economic data releases

list_sources

List all FRED data sources

search_series

Returns matching series with title, frequency, units, popularity. Use order_by=popularity to find the most-used series. Search 816,000+ economic time series by keyword

search_tags

Search or browse FRED tags

Example Prompts for FRED Full Access — U.S. Economic Intelligence in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with FRED Full Access — U.S. Economic Intelligence immediately.

"Complete macro briefing: GDP, unemployment, inflation, and Fed rate"

"Which state has the lowest unemployment and what are the upcoming economic releases?"

"Find all quarterly seasonally-adjusted series related to housing"

Troubleshooting FRED Full Access — U.S. Economic Intelligence MCP Server with LlamaIndex

Common issues when connecting FRED Full Access — U.S. Economic Intelligence to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

FRED Full Access — U.S. Economic Intelligence + LlamaIndex FAQ

Common questions about integrating FRED Full Access — U.S. Economic Intelligence 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 FRED Full Access — U.S. Economic Intelligence tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.