FRED
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| FRED_API_KEY | Yes | Your free FRED API key from fredaccount.stlouisfed.org/apikey |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_seriesA | Search FRED for economic data series matching a text query. Use this first to turn a natural-language request (e.g. "real median household income, seasonally adjusted") into a concrete series_id for get_observations. Results are ordered by popularity. Args: query: Free-text search, e.g. "unemployment rate" or "10-year treasury". limit: Max number of series to return (1-50). |
| get_series_infoA | Get metadata for a specific FRED series (title, units, frequency, range, notes). Args: series_id: The FRED series ID, e.g. "UNRATE" or "GDPC1". |
| get_observationsA | Get the observations (actual time-series values) for a FRED series. Returns a compact list of {date, value} points plus metadata. To stay within the
client's result-size limit, the point count is capped; if a series has more points
than the cap over your window, narrow the date range or aggregate via Args: series_id: The FRED series ID, e.g. "UNRATE". start_date: Inclusive start "YYYY-MM-DD". Omit for the series start. end_date: Inclusive end "YYYY-MM-DD". Omit for the latest. units: Optional transform: "lin" (levels), "chg", "ch1", "pch", "pc1" (year-over-year %), "pca", "cch", "cca", "log". frequency: Optional down-aggregation: "d","w","bw","m","q","sa","a". Omit to use the series' native frequency. sort_order: "asc" (oldest first) or "desc" (newest first). limit: Max points to return (capped at the server maximum). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: search_series discovers series IDs, get_series_info retrieves metadata for a known series, and get_observations fetches time-series data. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern: search_series, get_series_info, get_observations. The verbs are specific and the objects are clear, making the naming predictable and readable.
With only three tools, the server is tightly scoped for its purpose of accessing FRED economic data. Each tool fills an essential role in the workflow—search, metadata, and observations—without unnecessary additions.
The tool set fully covers the core workflow for a read-only economic data API: discover series via search, understand a series via metadata, and retrieve its values. No obvious gaps exist for the stated domain; all necessary operations for accessing FRED data are present.