Bring Economic Data
to Vercel AI SDK
Learn how to connect BEA (Bureau of Economic Analysis) to Vercel AI SDK and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the BEA (Bureau of Economic Analysis) MCP Server?
The BEA (Bureau of Economic Analysis) MCP server provides a direct bridge to one of the world's most comprehensive sources of economic data. Empower your AI agent to retrieve, analyze, and report on the health of the US economy with precision.
What you can do
- Dataset Discovery — Browse all available economic datasets including NIPA (National Income and Product Accounts), Regional, and Industry data.
- Parameter Exploration — Identify the specific filters and variables required for any dataset to ensure accurate queries.
- Valid Value Lookup — Retrieve lists of valid codes for parameters like TableID or Frequency to avoid API errors.
- Data Retrieval — Fetch raw economic figures, growth rates, and historical statistics directly into your conversation or analysis tool.
How it works
- Subscribe to this server
- Enter your BEA API Key
- Start querying economic indicators from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Economists & Researchers — Quickly pull historical GDP or income data without manual CSV downloads.
- Financial Analysts — Integrate macroeconomic trends into market analysis and forecasting models.
- Data Scientists — Automate the ingestion of government-verified economic signals for machine learning projects.
Built-in capabilities (4)
Pass dataset-specific parameters as a JSON string. Retrieve economic data from a BEA dataset
g., NIPA, Regional, GDPByIndustry). List available BEA datasets
List parameters for a specific BEA dataset
List valid values for a BEA dataset parameter
Why Vercel AI SDK?
The Vercel AI SDK gives every BEA (Bureau of Economic Analysis) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same BEA (Bureau of Economic Analysis) integration everywhere
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Built-in streaming UI primitives let you display BEA (Bureau of Economic Analysis) tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
BEA (Bureau of Economic Analysis) in Vercel AI SDK
BEA (Bureau of Economic Analysis) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect BEA (Bureau of Economic Analysis) to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for BEA (Bureau of Economic Analysis) in Vercel AI SDK
The BEA (Bureau of Economic Analysis) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
BEA (Bureau of Economic Analysis) for Vercel AI SDK
Every tool call from Vercel AI SDK to the BEA (Bureau of Economic Analysis) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I see which economic datasets are available?
You can use the get_dataset_list tool. It will return a comprehensive list of all datasets currently supported by the BEA API, such as NIPA, NIUnderlyingDetail, and FixedAssets.
How do I know what filters or parameters to use for a specific dataset?
First, use get_parameter_list with the dataset name to see required fields. Then, use get_parameter_values to find valid inputs (like specific Year or TableID) for those parameters.
Can I fetch actual GDP or income figures directly?
Yes. Use the get_data tool. You will need to provide the dataset name and a JSON string of parameters (e.g., TableName, Frequency, Year) to retrieve the specific economic observations.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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