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Connect Fred Tags Sources Data Discovery to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Find the exact economic series you need instantly.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through FRED.

  1. 01

    Search tags

    Use this capability to browse or search the available tag library. It covers everything from geographic locations and topics to data frequency and source labels.

  2. 02

    List sources

    This capability provides a full list of the 107 organizations that contribute data to FRED.

  3. 03

    Get series by tags

    This capability finds FRED series that match your specific tag requirements. You can combine multiple tags or use the exclude parameter to refine your results.

Real work

What teams actually run

01

Automated Data Discovery

An agent identifies all monthly inflation series for a specific region to feed into a model.

02

Pipeline Building

A developer uses tag searches to programmatically find new series for an automated dashboard.

03

Research Verification

A researcher checks the original source of a series to ensure data pedigree.

04

Comparative Analysis

An analyst finds all quarterly series from the Census Bureau to compare different economic indicators.

Automate a task

Put FRED to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

FRED works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put FRED to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

784ms average. Fast in production.

FRED is checked daily against the live service.

Daily averagePeak 1086ms
Oct 3Today
Fastest day
711ms
Slowest day
1086ms
14-day trend
Slowing+10%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of FRED, so you can see the experience inside your AI.

It does not authenticate your account with FRED. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

FRED Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_gSpxwBSlmBoTh0qkNEnTwJGqQpGQLWCmnpo1UhkQ/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — FRED capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "fred-tags-sources-data-discovery-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_gSpxwBSlmBoTh0qkNEnTwJGqQpGQLWCmnpo1UhkQ/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up FRED in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work FRED owners hand off.

This MCP is built for professionals who need to pull specific economic metrics from FRED without manual searching.

  • 01

    Economic Researchers

    They use the agent to quickly locate specific series for longitudinal studies.

  • 02

    Data Engineers

    They use the discovery capabilities to automate the identification of series for data pipelines.

  • 03

    Financial Analysts

    They hand off the task of finding specific inflation or GDP indicators to their AI agent.

FAQ

Questions FRED owners ask.

  • 01

    How do I find specific series in FRED using this MCP?

    You can use the get_series_by_tags capability to find series that match a combination of tags like geography, topic, or frequency.

  • 02

    Which AI clients can use this MCP?

    You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf.

  • 03

    Can I see which agency provided the data?

    Yes, the list_sources capability allows you to see the 107 organizations that contribute to the FRED database.

  • 04

    Does this MCP host the data itself?

    No, this MCP acts as a discovery layer to help your agent find and identify the correct series within the FRED database.

  • 05

    Can I filter by frequency, like monthly or quarterly?

    Yes, frequency is one of the primary tag categories you can use to filter your searches.

  • 06

    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.

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