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prithvi1029

fred-economic-intelligence-mcp

by prithvi1029
OverviewSchemaRelated ServersScoreDiscussions
Python

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
health_checkA

Check whether the FRED MCP server is running.

search_seriesC
Search FRED for economic data series using keywords.

Examples:
unemployment rate, inflation, consumer price index,
mortgage rates, housing starts, retail sales.
get_series_metadataA
Retrieve metadata for a FRED economic series.

Examples of series IDs:
GDP, CPIAUCSL, UNRATE, FEDFUNDS.
get_series_observationsC
Retrieve observations for a FRED economic series.

Examples of series IDs:
GDP, CPIAUCSL, UNRATE, FEDFUNDS.
compare_seriesA
Retrieve and compare multiple FRED economic series.

This tool fetches metadata and observations for each requested
series concurrently.

Example series IDs:
["GDP", "UNRATE", "CPIAUCSL", "FEDFUNDS"]
latest_snapshotC

Return the latest valid observation for multiple FRED series.

calculate_growth_rateA
Calculate absolute and percentage change for a FRED series.

The comparison observation is selected by calendar date rather
than only by list position, which avoids off-by-one errors when
observations contain missing values.

Examples:
CPIAUCSL with periods=12 for year-over-year change.
GDP with periods=1 for quarter-over-quarter change.
UNRATE with periods=1 for month-over-month change.
query_economic_graphC

Query the curated macroeconomic knowledge graph.

retrieve_economic_evidence

Run graph-enhanced retrieval over the local economic evidence corpus.

build_economic_digital_twinB

Build an explainable economic-state digital twin from normalized signals.

simulate_economic_scenarioC

Propagate transparent directional shocks through the economic digital twin.

explain_economic_signalC

Explain domain scores, series contributions, uncertainty, and methodology.

run_agent_workflowC

Run the supervisor-led multi-agent economic intelligence workflow.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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