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Integrate FRED Categories — Economic Data Taxonomy with Claude, Cursor, Chatbots & AI Agents MCP Server

Navigate the complete FRED taxonomy: from Money & Banking to Employment to Prices — drill down through categories, discover thousands of series organized by topic, and filter by tags and frequency.
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Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
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Get category on FRED Categories — Economic Data Taxonomy

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

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Get category children on FRED Categories — Economic Data Taxonomy

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

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Get category series on FRED Categories — Economic Data Taxonomy

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

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Get category tags on FRED Categories — Economic Data Taxonomy

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

Security & Code Integrity Audit

Every tool in the FRED Categories — Economic Data Taxonomy MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

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A+Score: 98.33

How Vinkius protects your data

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.

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

Automated Workflows using FRED Categories — Economic Data Taxonomy

The FRED Categories — Economic Data Taxonomy MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.

Autonomous economic data Strategies

The FRED Categories — Economic Data Taxonomy integration exposes LLM-friendly schemas for economic data. Tools like Cursor can map natural language directly into executable brain trust commands.

Mastering taxonomy with Agents

Build automated workflows involving taxonomy by connecting FRED Categories — Economic Data Taxonomy. It provides Claude and ChatGPT with direct API hooks into your brain trust ecosystem.

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