FRED Tags & Sources Connector for AI agents.
3 live capabilities
Find specific economic series and data sources using precise tags.
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Why people use FRED Tags & Sources
FRED Tags & Sources for Precise Economic Data Discovery
This Connector lets your agent do that heavy lifting for you. It queries the tagging system to pull only the series that meet your exact criteria. You get a clean list of data points ready for analysis instead of a pile of irrelevant links.
What Vinkius changes
You get precise economic data series without the manual search headache.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Finding specific monthly GDP data
A user asks for monthly US GDP data but gets irrelevant results.
- Real-world use case 02
Identifying official labor data sources
A data engineer needs to know which agency provides the best labor stats.
- Real-world use case 03
Filtering regional inflation series
A researcher needs all quarterly inflation series for Europe.
Complete set · 3capabilities
The complete FRED Tags & Sources capability set.
These are the exact actions your AI can choose when you ask it to work with FRED Tags & Sources.
01—03
3 capabilities in this set.
Part of 3 available through FRED Tags & Sources.
- 01 Capability
Search tags
Browse or search for specific labels like geography, topic, and frequency. You can use this to see all available tags or find specific ones by text.
- 02 Capability
Get series by tags
Retrieve specific economic series by matching or excluding various tags. It allows you to narrow down results to exactly what you need for your analysis.
- 03 Capability
List sources
Get a list of all 107 official organizations that provide data to FRED. This helps you confirm which agencies are contributing to the database.
Set up in minutes
One URL. Then ask FRED Tags & Sources to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use FRED Tags & Sources from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_gSpxwBSlmBoTh0qkNEnTwJGqQpGQLWCmnpo1UhkQ/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it FRED Tags & Sources, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable FRED Tags & Sources for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_gSpxwBSlmBoTh0qkNEnTwJGqQpGQLWCmnpo1UhkQ/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the FRED Tags & Sources URL.
- Step 03
Save and start
Save the connection and enable FRED Tags & Sources in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"fred-tags-sources-data-discovery": {
"url": "https://edge.vinkius.com/vk_preview_gSpxwBSlmBoTh0qkNEnTwJGqQpGQLWCmnpo1UhkQ/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using FRED Tags & Sources
Open Agent mode in chat and ask: "Using FRED Tags & Sources, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"fred-tags-sources-data-discovery": {
"url": "https://edge.vinkius.com/vk_preview_gSpxwBSlmBoTh0qkNEnTwJGqQpGQLWCmnpo1UhkQ/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using FRED Tags & Sources
Ask Copilot: "Using FRED Tags & Sources, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"fred-tags-sources-data-discovery": {
"url": "https://edge.vinkius.com/vk_preview_gSpxwBSlmBoTh0qkNEnTwJGqQpGQLWCmnpo1UhkQ/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using FRED Tags & Sources
Open Cascade and ask: "Using FRED Tags & Sources, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"fred-tags-sources-data-discovery": {
"url": "https://edge.vinkius.com/vk_preview_gSpxwBSlmBoTh0qkNEnTwJGqQpGQLWCmnpo1UhkQ/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using FRED Tags & Sources
Ask Cline: "Using FRED Tags & Sources, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add fred-tags-sources-data-discovery --transport http "https://edge.vinkius.com/vk_preview_gSpxwBSlmBoTh0qkNEnTwJGqQpGQLWCmnpo1UhkQ/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using FRED Tags & Sources
Ask Claude: "Using FRED Tags & Sources, show me...". 3 tools are ready
Where the request belongs
Work FRED can move forward.
Researchers and data engineers who are tired of hunting through the FRED website for specific datasets. It's for the person who needs to know exactly which series is seasonally adjusted before they start a report.
Economic Researcher
Finds specific inflation or GDP series for academic papers without scrolling through pages of results.
Data Engineer
Builds automated pipelines using specific BLS or Census Bureau sources for consistent data ingestion.
Financial Analyst
Pulls regional economic indicators for market reports using precise geographic and frequency filters.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsFRED Categories — Economic Data Taxonomy
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.
FRED Full Access — U.S. Economic Intelligence
The ultimate U.S. economic data Mega-Server: 19 capabilities covering time series, releases, categories, regional GeoFRED data, tags, and 107 data sources. 816,000+ series from the Federal Reserve in one integration.
FRED Series — U.S. Economic Time Series
Search and retrieve data from 816,000+ official U.S. economic time series: GDP, inflation, unemployment, interest rates, money supply. with built-in transformations, frequency aggregation, and vintage analysis.
FRED Releases — Economic Calendar
Track every U.S. economic data release: Employment Situation, GDP Advance, CPI, Federal Funds Rate, and hundreds more. with release schedules, historical dates, and the complete series within each release.
OECD Data API
Access global economic data. audit social and fiscal series via AI.
Knoema
Access global statistics. search datasets, retrieve time-series data, and audit economic indicators.
Bring your own AI
Change the model, client or framework. Keep FRED connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
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Pieces -
Sourcegraph Cody -
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Amazon Q -
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BoltAI -
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Jan -
LM Studio -
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Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
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n8n -
LangChain -
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CrewAI -
Vercel AI SDK
Before you connect
Questions about FRED.
The practical details behind the request, access and result.
Can FRED Tags & Sources MCP find specific inflation data?
Yes, it allows your agent to search for inflation-related tags and filter by region or frequency to find the exact series you need for your analysis.
How does this help with economic research?
It speeds up the discovery phase by allowing your agent to pull organized lists of series that match specific criteria, like quarterly data for a specific country.
Can I find data from the Census Bureau?
Yes, the Connector can list all 107 official sources, including the Census Bureau, so you can verify exactly where your data is coming from.
What is the difference between tags and keywords?
Keywords can be messy and return hundreds of unrelated results. Tags are a structured system that lets you combine specific categories like geography and topic for much higher precision.
Does this help my AI agent find the right series?
Exactly. It gives your agent the ability to navigate the complex FRED catalog and return a clean, filtered list of series IDs instead of a wall of text.
Can I filter by geographic regions like Europe?
Yes, the tagging system includes geographic labels for regions like Europe, the USA, and other areas to help you narrow down your search.
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.
One connection away
Give your agent a direct line to FRED.
Connect FRED once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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