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 Pydantic AI 19 tools — connect in under 2 minutes

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

ai.pydantic.dev/mcp

Built by Vinkius GDPR 19 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect FRED Full Access — U.S. Economic Intelligence through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to FRED Full Access — U.S. Economic Intelligence "
            "(19 tools)."
        ),
    )

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

asyncio.run(main())

FRED Full Access — U.S. Economic Intelligence

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 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?

Pydantic AI validates every FRED Full Access — U.S. Economic Intelligence tool response against typed schemas, catching data inconsistencies at build time. Connect 19 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the FRED Full Access — U.S. Economic Intelligence MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

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

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your FRED Full Access — U.S. Economic Intelligence integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your FRED Full Access — U.S. Economic Intelligence connection logic from agent behavior for testable, maintainable code

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

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

Type-safe data pipelines: query FRED Full Access — U.S. Economic Intelligence with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple FRED Full Access — U.S. Economic Intelligence tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query FRED Full Access — U.S. Economic Intelligence and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock FRED Full Access — U.S. Economic Intelligence responses and write comprehensive agent tests

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

These 19 tools become available when you connect FRED Full Access — U.S. Economic Intelligence to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

FRED Full Access — U.S. Economic Intelligence + Pydantic AI FAQ

Common questions about integrating FRED Full Access — U.S. Economic Intelligence MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your FRED Full Access — U.S. Economic Intelligence MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.