Bring Economic Data
to Mastra AI
Learn how to connect BEA (Bureau of Economic Analysis) to Mastra AI 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 Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and BEA (Bureau of Economic Analysis) tool infrastructure. Connect 4 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add BEA (Bureau of Economic Analysis) without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every BEA (Bureau of Economic Analysis) tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
BEA (Bureau of Economic Analysis) in Mastra AI
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 Mastra AI 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 Mastra AI
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 Mastra AI 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 Mastra AI
Every tool call from Mastra AI 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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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