FRED Tags & Sources — Data Discovery MCP Server for AutoGen 3 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add FRED Tags & Sources — Data Discovery as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="fred_tags_sources_data_discovery_agent",
tools=tools,
system_message=(
"You help users with FRED Tags & Sources — Data Discovery. "
"3 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use FRED Tags & Sources — Data Discovery tools. Connect 3 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the FRED Tags & Sources — Data Discovery MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 3 tools from FRED Tags & Sources — Data Discovery automatically
Why Use AutoGen with the FRED Tags & Sources — Data Discovery MCP Server
AutoGen provides unique advantages when paired with FRED Tags & Sources — Data Discovery through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use FRED Tags & Sources — Data Discovery tools to solve complex tasks
Role-based architecture lets you assign FRED Tags & Sources — Data Discovery tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive FRED Tags & Sources — Data Discovery tool calls
Code execution sandbox: AutoGen agents can write and run code that processes FRED Tags & Sources — Data Discovery tool responses in an isolated environment
FRED Tags & Sources — Data Discovery + AutoGen Use Cases
Practical scenarios where AutoGen combined with the FRED Tags & Sources — Data Discovery MCP Server delivers measurable value.
Collaborative analysis: one agent queries FRED Tags & Sources — Data Discovery while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from FRED Tags & Sources — Data Discovery, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using FRED Tags & Sources — Data Discovery data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process FRED Tags & Sources — Data Discovery responses in a sandboxed execution environment
FRED Tags & Sources — Data Discovery MCP Tools for AutoGen (3)
These 3 tools become available when you connect FRED Tags & Sources — Data Discovery to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting FRED Tags & Sources — Data Discovery to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"FRED Tags & Sources — Data Discovery + AutoGen FAQ
Common questions about integrating FRED Tags & Sources — Data Discovery MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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Connect FRED Tags & Sources — Data Discovery to AutoGen
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.