@cyanheads/federal-reserve-mcp-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@@cyanheads/federal-reserve-mcp-serversearch for series related to 'inflation expectations'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Tools
Five FRED tools plus three DataCanvas tools for querying spilled observation results via SQL:
Tool | Description |
| Full-text search across FRED series titles, units, frequency, and tags — returns matching series IDs with metadata |
| Fetch metadata for one or more series (title, units, frequency, seasonal adjustment, observation range) |
| Fetch date+value observation data for one or more series with date-range filtering and unit transformations |
| Navigate the FRED category tree; drill into a category to see child categories and a series sample |
| Look up a FRED release by ID or name search — returns release metadata and its associated series list |
| List active DataCanvas dataframes registered by this server (canvas IDs, row counts, schemas) |
| Run a SELECT query against a registered DataCanvas dataframe |
| Drop a DataCanvas dataframe by name (opt-in via |
fedreserve_search_series
Search for FRED series by free-text query across titles, tags, and notes.
Full-text and series-ID search modes
Post-search filtering by frequency, units, or seasonal adjustment status
Tag-name filtering (semicolon-delimited list)
Pagination via
limitandoffsetTo find series for a specific release, use
fedreserve_get_releaseinstead
fedreserve_get_series
Fetch metadata for one or more FRED series.
Accepts up to 50 series IDs in a single call
Returns title, units, frequency, seasonal adjustment, observation range, popularity, and notes
Fires parallel upstream requests (no FRED batch endpoint exists); partial success reported per ID
fedreserve_get_observations
Fetch observation data (date + value pairs) for one or more series.
Accepts up to 10 series IDs; fires one upstream request per series in parallel
Date-range filtering with ISO 8601 dates (
observation_start,observation_end)FRED's native unit transformations:
lin,chg,ch1,pch,pc1,pca,cch,cca,logFrequency downsampling with configurable aggregation method (
avg,sum,eop)Multi-series or >500-row results spill to a DataCanvas table; response includes a
dataset.namehandle for SQL querying viafedreserve_dataframe_queryDegrades gracefully when DataCanvas is unavailable — returns inline preview with row count
fedreserve_browse_categories
Navigate the FRED category hierarchy.
Omit
category_idto start at the root (ID 0)Provide a
category_idto see child categories and a series sample for leaf categoriesCovers all FRED domains: Money & Banking, National Accounts, Employment, Prices, Housing, Trade, and more
fedreserve_get_release
Inspect a FRED data release and its associated series.
Look up by
release_id(integer) orrelease_search(case-insensitive substring match)Name search fetches all releases and filters client-side (FRED has no server-side release search)
Returns release name, link, scheduled dates, and a paginated series list
Use
series_limitandseries_offsetto page through large releases
Related MCP server: mcp-fred
Features
Built on @cyanheads/mcp-ts-core:
Declarative tool definitions — single file per tool, framework handles registration and validation
Unified error handling across all tools
Pluggable auth (
none,jwt,oauth)Swappable storage backends:
in-memory,filesystem,Supabase,Cloudflare KV/R2/D1Structured logging with optional OpenTelemetry tracing
STDIO and Streamable HTTP transports
FRED-specific:
Read-only access to the St. Louis Fed's FRED API (
api.stlouisfed.org/fred)Parallel multi-series fetching via
Promise.allSettledwith partial success reportingDataCanvas spillover for multi-series or large observation results — spilled tables queryable via
fedreserve_dataframe_queryRetry with backoff and 429 rate-limit detection against FRED's 120 req/min limit
FRED's native unit transformations delegated server-side for precision against the full series history
Getting started
Add the following to your MCP client configuration file. Obtain a free FRED API key at research.stlouisfed.org/docs/api/api_key.html.
{
"mcpServers": {
"federal-reserve-mcp-server": {
"type": "stdio",
"command": "bunx",
"args": ["@cyanheads/federal-reserve-mcp-server@latest"],
"env": {
"MCP_TRANSPORT_TYPE": "stdio",
"MCP_LOG_LEVEL": "info",
"FRED_API_KEY": "your-api-key"
}
}
}
}Or with npx (no Bun required):
{
"mcpServers": {
"federal-reserve-mcp-server": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@cyanheads/federal-reserve-mcp-server@latest"],
"env": {
"MCP_TRANSPORT_TYPE": "stdio",
"MCP_LOG_LEVEL": "info",
"FRED_API_KEY": "your-api-key"
}
}
}
}Or with Docker:
{
"mcpServers": {
"federal-reserve-mcp-server": {
"type": "stdio",
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "MCP_TRANSPORT_TYPE=stdio",
"-e", "FRED_API_KEY=your-api-key",
"ghcr.io/cyanheads/federal-reserve-mcp-server:latest"
]
}
}
}For Streamable HTTP, set the transport and start the server:
MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 FRED_API_KEY=... bun run start:http
# Server listens at http://localhost:3010/mcpPrerequisites
Bun v1.3.2 or higher.
A free FRED API key from stlouisfed.org. The key grants 120 requests/minute.
Installation
Clone the repository:
git clone https://github.com/cyanheads/federal-reserve-mcp-server.gitNavigate into the directory:
cd federal-reserve-mcp-serverInstall dependencies:
bun installConfigure environment:
cp .env.example .env
# edit .env and set FRED_API_KEYConfiguration
All configuration is validated at startup via Zod schemas in src/config/server-config.ts.
Variable | Description | Default |
| Required. API key from stlouisfed.org. | — |
| Override the FRED API base URL. |
|
| Sliding TTL for DataCanvas-registered observation tables (seconds). |
|
| Set |
|
| Set to | — |
| Transport: |
|
| Port for HTTP server. |
|
| Auth mode: |
|
| Log level (RFC 5424). |
|
| Directory for log files (Node.js only). |
|
| Storage backend. |
|
| Enable OpenTelemetry instrumentation. |
|
See .env.example for the full list of optional overrides.
Running the server
Local development
Build and run:
# One-time build bun run rebuild # Run the built server bun run start:stdio # or bun run start:httpRun checks and tests:
bun run devcheck # Lint, format, typecheck, security bun run test # Vitest test suite bun run lint:mcp # Validate MCP definitions against spec
Docker
docker build -t federal-reserve-mcp-server .
docker run --rm -e FRED_API_KEY=your-key -e MCP_TRANSPORT_TYPE=http -p 3010:3010 federal-reserve-mcp-serverThe Dockerfile defaults to HTTP transport, stateless session mode, and logs to /var/log/federal-reserve-mcp-server. OpenTelemetry peer dependencies are installed by default — build with --build-arg OTEL_ENABLED=false to omit them.
Project structure
Directory | Purpose |
|
|
| Server-specific environment variable parsing and validation with Zod. |
| Tool definitions ( |
| FRED API service — HTTP client, retry, 429 handling, key injection. |
| DataCanvas adapter — table naming, TTL/provenance tracking, SQL gate extras. |
| Unit and integration tests mirroring |
| Design and planning documents. |
Development guide
See CLAUDE.md for development guidelines and architectural rules. The short version:
Handlers throw, framework catches — no
try/catchin tool logicUse
ctx.logfor request-scoped logging,ctx.statefor tenant-scoped storageRegister new tools in
src/mcp-server/tools/definitions/index.tsWrap FRED API calls: validate raw response → normalize to domain type → return output schema; never fabricate missing fields
Contributing
Issues and pull requests are welcome. Run checks and tests before submitting:
bun run devcheck
bun run testLicense
Apache-2.0 — see LICENSE for details.
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Maintenance
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