FRED Tags & Sources — Data Discovery MCP Server for Mastra AI 3 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect FRED Tags & Sources — Data Discovery through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"fred-tags-sources-data-discovery": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "FRED Tags & Sources — Data Discovery Agent",
instructions:
"You help users interact with FRED Tags & Sources — Data Discovery " +
"using 3 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with FRED Tags & Sources — Data Discovery?"
);
console.log(result.text);
}
main();
* 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
About FRED Tags & Sources — Data Discovery MCP Server
The discovery layer for FRED. Tags & Sources helps your AI agent find exactly the right series by filtering through FRED's comprehensive tagging system.
Mastra's agent abstraction provides a clean separation between LLM logic and FRED Tags & Sources — Data Discovery tool infrastructure. Connect 3 tools through the 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.
What you can do
- Search Tags — Browse geographic (usa, europe), topic (gdp, inflation), source (bls, bea), and frequency (monthly, quarterly) tags
- Tag Combinations — Find series matching ALL specified tags (e.g., usa + gdp + quarterly) while excluding others
- Data Sources — List all 107 organizations contributing data: BLS, BEA, Federal Reserve Board, Census Bureau, Treasury, IMF, and more
The FRED Tags & Sources — Data Discovery MCP Server exposes 3 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect FRED Tags & Sources — Data Discovery to Mastra AI via MCP
Follow these steps to integrate the FRED Tags & Sources — Data Discovery MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 3 tools from FRED Tags & Sources — Data Discovery via MCP
Why Use Mastra AI with the FRED Tags & Sources — Data Discovery MCP Server
Mastra AI provides unique advantages when paired with FRED Tags & Sources — Data Discovery through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add FRED Tags & Sources — Data Discovery without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every FRED Tags & Sources — Data Discovery tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
FRED Tags & Sources — Data Discovery + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the FRED Tags & Sources — Data Discovery MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query FRED Tags & Sources — Data Discovery, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed FRED Tags & Sources — Data Discovery as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query FRED Tags & Sources — Data Discovery on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using FRED Tags & Sources — Data Discovery tools alongside other MCP servers
FRED Tags & Sources — Data Discovery MCP Tools for Mastra AI (3)
These 3 tools become available when you connect FRED Tags & Sources — Data Discovery to Mastra AI via MCP:
get_series_by_tags
Powerful for discovering related series. Example: tag_names="usa;gdp" returns all US GDP series. Combine with exclude_tag_names to refine. Get FRED series matching specific tags
list_sources
List all FRED data sources
search_tags
Search by text or get all tags. Tags include geographic (usa, europe), topic (gdp, inflation), source (bls, bea), and frequency (monthly, quarterly) labels. Search or browse FRED tags
Example Prompts for FRED Tags & Sources — Data Discovery in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with FRED Tags & Sources — Data Discovery immediately.
"Find all monthly U.S. GDP-related series"
"List all data sources that contribute to FRED"
"What tags are most popular on FRED?"
Troubleshooting FRED Tags & Sources — Data Discovery MCP Server with Mastra AI
Common issues when connecting FRED Tags & Sources — Data Discovery to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFRED Tags & Sources — Data Discovery + Mastra AI FAQ
Common questions about integrating FRED Tags & Sources — Data Discovery MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
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?
Does Mastra support workflow orchestration?
Connect FRED Tags & Sources — Data Discovery with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect FRED Tags & Sources — Data Discovery to Mastra AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.