How to Use the FRED Full Access — U.S. Economic Intelligence MCP in Claude
Get live U.S. economic data from 816,000+ series directly inside your Claude Desktop chat, no code required.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FRED Full Access — U.S. Economic Intelligence MCP to Claude Desktop
Create your Vinkius account to connect FRED Full Access — U.S. Economic Intelligence to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Chat with Live Economic Data
Ask for GDP, unemployment, or inflation in plain English. Your agent uses `search_series` to find the right ID, then calls `get_observations` to pull the numbers. You get charts and tables right in the chat, instantly. This is more than just Q&A. You can explore the entire FRED database conversationally. Start broad by asking the agent to `get_category_children` from the root, then drill down into a specific industry with `get_category_series`. It’s like having a research assistant who has memorized all 107 federal data sources.
Build Dashboards in Your Browser
This MCP server doesn't just return text. When you ask Claude on the web for regional employment data, it can use `get_regional_data` and `get_geo_shapes` to generate an interactive map right inside the conversation. No setup, it just works. You can build custom views on the fly. Ask it to track multiple series like `DGS10` (10-Year Treasury) and `FEDFUNDS` and show them on a single graph. Claude remembers the context, so you can ask follow-up questions about correlations or specific date ranges.
Automate Market Research with Your MCP Server
Go beyond one-off questions. Give your agent a research task, like "Find all recent data releases related to housing prices." It will use `list_releases` and `get_release_series` to compile a full report. This is a serious tool for automating grunt work. You can even check for data revisions. The `get_vintage_dates` tool lets you see how historical data for a series has changed over time. This is critical for backtesting models without look-ahead bias, and your agent can pull this for any of the 816,000+ series available through this MCP integration.
Set up FRED Full Access — U.S. Economic Intelligence MCP in Claude Web or Desktop
- 1
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
- 2
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcpReplace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials. - 3
Start a conversation
Open a new chat. The FRED Full Access — U.S. Economic Intelligence MCP tools are available immediately — no restart needed.
Endpoint URL
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp No configuration file needed — paste the URL directly in the Claude web interface.
Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about FRED Full Access — U.S. Economic Intelligence MCP in Claude Desktop
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the FRED Full Access — U.S. Economic Intelligence MCP today
We host it, we monitor it, we maintain it. You just paste one token.