Integrate FRED Tags & Sources — Data Discovery with Claude, Cursor, Chatbots & AI Agents MCP Server
Compatible with every major AI agent and IDE
Get series by tags on FRED Tags & Sources — Data Discovery
Powerful for discovering related series. Example: tag_names="usa;gdp" returns all US GDP series. Combine with exclude_tag_names to refine. Get FRED series matching specific tags
List sources on FRED Tags & Sources — Data Discovery
List all FRED data sources
Search tags on FRED Tags & Sources — Data Discovery
Search by text or get all tags. Tags include geographic (usa, europe), topic (gdp, inflation), source (bls, bea), and frequency (monthly, quarterly) labels. Search or browse FRED tags
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
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.
What is the difference between tags and categories?
Categories are a strict hierarchy (one parent, many children). Tags are flat labels — each series can have many tags across dimensions: geography (usa), frequency (monthly), topic (gdp), source (bls). Combine tags for powerful cross-dimensional filtering.
How Chatbots Interact with FRED Tags & Sources — Data Discovery
Integrate FRED Tags & Sources — Data Discovery to provide your custom AI agents with direct read and write access to the capabilities listed below.
Mastering data tagging with Agents
The FRED Tags & Sources — Data Discovery MCP translates LLM intent into specific data tagging actions. Agents like Cursor use this to interface securely with your brain trust infrastructure.
Streamlining metadata
Connect FRED Tags & Sources — Data Discovery to your AI agents (Claude, ChatGPT, Cursor) to manage metadata operations. The MCP server processes the underlying API requests and schema formatting for the brain trust domain.
FRED Tags & Sources — Data Discovery. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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