FRED Categories — Economic Data Taxonomy MCP Server for LangChain 4 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect FRED Categories — Economic Data Taxonomy through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"fred-categories-economic-data-taxonomy": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using FRED Categories — Economic Data Taxonomy, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(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 Categories — Economic Data Taxonomy MCP Server
Explore FRED like a library. The Categories server lets your AI agent navigate the entire FRED taxonomy tree — from the root down to individual series.
LangChain's ecosystem of 500+ components combines seamlessly with FRED Categories — Economic Data Taxonomy through native MCP adapters. Connect 4 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Browse the Tree — Start from root (category 0) and drill into 8 top-level domains
- Discover Series — Find all series within any category, sorted by popularity
- Tag Filtering — Get tags for any category to understand available dimensions
Top-Level Categories
32991 Money, Banking & Finance · 10 Population & Employment · 32992 National Accounts · 1 Production & Business · 32455 Prices · 32263 International · 33060 Academic Data
The FRED Categories — Economic Data Taxonomy MCP Server exposes 4 tools through the Vinkius. Connect it to LangChain 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 Categories — Economic Data Taxonomy to LangChain via MCP
Follow these steps to integrate the FRED Categories — Economic Data Taxonomy MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 4 tools from FRED Categories — Economic Data Taxonomy via MCP
Why Use LangChain with the FRED Categories — Economic Data Taxonomy MCP Server
LangChain provides unique advantages when paired with FRED Categories — Economic Data Taxonomy through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine FRED Categories — Economic Data Taxonomy MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across FRED Categories — Economic Data Taxonomy queries for multi-turn workflows
FRED Categories — Economic Data Taxonomy + LangChain Use Cases
Practical scenarios where LangChain combined with the FRED Categories — Economic Data Taxonomy MCP Server delivers measurable value.
RAG with live data: combine FRED Categories — Economic Data Taxonomy tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query FRED Categories — Economic Data Taxonomy, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain FRED Categories — Economic Data Taxonomy tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every FRED Categories — Economic Data Taxonomy tool call, measure latency, and optimize your agent's performance
FRED Categories — Economic Data Taxonomy MCP Tools for LangChain (4)
These 4 tools become available when you connect FRED Categories — Economic Data Taxonomy to LangChain via MCP:
get_category
Root category is 0. Major categories: 32991 (Money, Banking, & Finance), 10 (Population, Employment, & Labor Markets), 32992 (National Accounts), 1 (Production & Business Activity), 32455 (Prices). Get a FRED category by ID
get_category_children
Start from root (0) to explore all top-level categories, then drill down. This is the primary way to discover what data FRED has. Get child categories of a FRED category
get_category_series
Use with category IDs discovered via get_category_children. Supports filtering by frequency, units, and tags. Get series within a FRED category
get_category_tags
Useful for understanding what data dimensions are available and for filtering series. Get tags for a FRED category
Example Prompts for FRED Categories — Economic Data Taxonomy in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with FRED Categories — Economic Data Taxonomy immediately.
"What are the main categories of economic data in FRED?"
"What inflation-related series are available?"
"Navigate to the interest rates subcategory"
Troubleshooting FRED Categories — Economic Data Taxonomy MCP Server with LangChain
Common issues when connecting FRED Categories — Economic Data Taxonomy to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFRED Categories — Economic Data Taxonomy + LangChain FAQ
Common questions about integrating FRED Categories — Economic Data Taxonomy MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect FRED Categories — Economic Data Taxonomy with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
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 Categories — Economic Data Taxonomy to LangChain
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.
