Bring Economic Data
to Pydantic AI
Create your Vinkius account to connect FRED Categories — Economic Data Taxonomy to Pydantic AI and start using all 4 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
Who is this for?
Data explorers, researchers discovering what data FRED has, and AI agents that need structured navigation of economic indicators.
Built-in capabilities (4)
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
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
Use with category IDs discovered via get_category_children. Supports filtering by frequency, units, and tags. Get series within a FRED category
Useful for understanding what data dimensions are available and for filtering series. Get tags for a FRED category
Why Pydantic AI?
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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your FRED Categories — Economic Data Taxonomy integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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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 in Pydantic AI
Why run FRED Categories — Economic Data Taxonomy with Vinkius?
The FRED Categories — Economic Data Taxonomy connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 4 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect FRED Categories — Economic Data Taxonomy using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
FRED Categories — Economic Data Taxonomy and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect FRED Categories — Economic Data Taxonomy to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
FRED Categories — Economic Data Taxonomy for Pydantic AI
Every request between Pydantic AI and FRED Categories — Economic Data Taxonomy is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How is FRED organized?
FRED uses a hierarchical tree of categories. The root (ID 0) branches into 8 domains like Money & Banking, Employment, and Prices. Each domain subdivides into hundreds of subcategories, each containing related series. Start from root and drill down to discover data.
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 Categories — Economic Data Taxonomy MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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