What is the difference between tags and categories?

Categories are a strict hierarchy (one parent, many children). Tags are flat labels — each series can have many tags across dimensions: geography (usa), frequency (monthly), topic (gdp), source (bls). Combine tags for powerful cross-dimensional filtering.

FRED Tags & Sources — Data Discovery MCP Server for Google ADK 3 tools — connect in under 2 minutes

Name: FRED Tags & Sources — Data Discovery
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 3 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add FRED Tags & Sources — Data Discovery as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

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python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="fred_tags_sources_data_discovery_agent",
    instruction=(
        "You help users interact with FRED Tags & Sources — Data Discovery "
        "using 3 available tools."
    ),
    tools=[mcp_tools],
)

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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.

Google ADK natively supports FRED Tags & Sources — Data Discovery as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 3 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the FRED Tags & Sources — Data Discovery MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 3 tools from FRED Tags & Sources — Data Discovery via MCP

Why Use Google ADK with the FRED Tags & Sources — Data Discovery MCP Server

Google ADK provides unique advantages when paired with FRED Tags & Sources — Data Discovery through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with FRED Tags & Sources — Data Discovery

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine FRED Tags & Sources — Data Discovery tools with BigQuery, Vertex AI, and Cloud Functions

FRED Tags & Sources — Data Discovery + Google ADK Use Cases

Practical scenarios where Google ADK combined with the FRED Tags & Sources — Data Discovery MCP Server delivers measurable value.

Enterprise data agents: ADK agents query FRED Tags & Sources — Data Discovery and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine FRED Tags & Sources — Data Discovery tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query FRED Tags & Sources — Data Discovery regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including FRED Tags & Sources — Data Discovery

FRED Tags & Sources — Data Discovery MCP Tools for Google ADK (3)

These 3 tools become available when you connect FRED Tags & Sources — Data Discovery to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting FRED Tags & Sources — Data Discovery to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

FRED Tags & Sources — Data Discovery + Google ADK FAQ

Common questions about integrating FRED Tags & Sources — Data Discovery MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.