FRED Categories — Economic Data Taxonomy MCP Server for Pydantic AI 4 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect FRED Categories — Economic Data Taxonomy through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Categories — Economic Data Taxonomy "
"(4 tools)."
),
)
result = await agent.run(
"What tools are available in FRED Categories — Economic Data Taxonomy?"
)
print(result.data)
asyncio.run(main())
* 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.
Pydantic AI validates every FRED Categories — Economic Data Taxonomy tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through 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
- 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 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 Categories — Economic Data Taxonomy to Pydantic AI via MCP
Follow these steps to integrate the FRED Categories — Economic Data Taxonomy 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 4 tools from FRED Categories — Economic Data Taxonomy with type-safe schemas
Why Use Pydantic AI with the FRED Categories — Economic Data Taxonomy MCP Server
Pydantic AI provides unique advantages when paired with FRED Categories — Economic Data Taxonomy 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 Categories — Economic Data Taxonomy 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 Categories — Economic Data Taxonomy connection logic from agent behavior for testable, maintainable code
FRED Categories — Economic Data Taxonomy + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the FRED Categories — Economic Data Taxonomy MCP Server delivers measurable value.
Type-safe data pipelines: query FRED Categories — Economic Data Taxonomy with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple FRED Categories — Economic Data Taxonomy tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query FRED Categories — Economic Data Taxonomy and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock FRED Categories — Economic Data Taxonomy responses and write comprehensive agent tests
FRED Categories — Economic Data Taxonomy MCP Tools for Pydantic AI (4)
These 4 tools become available when you connect FRED Categories — Economic Data Taxonomy to Pydantic AI via MCP:
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
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
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
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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with FRED Categories — Economic Data Taxonomy immediately.
"What are the main categories of economic data in FRED?"
"What inflation-related series are available?"
"Navigate to the interest rates subcategory"
Troubleshooting FRED Categories — Economic Data Taxonomy MCP Server with Pydantic AI
Common issues when connecting FRED Categories — Economic Data Taxonomy to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFRED Categories — Economic Data Taxonomy + Pydantic AI FAQ
Common questions about integrating FRED Categories — Economic Data Taxonomy MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
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Connect FRED Categories — Economic Data Taxonomy to Pydantic AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.