FRED (Federal Reserve Economic Data)
MCP-FREDAPI provides a bridge to the Federal Reserve Economic Data (FRED) API, enabling AI assistants to retrieve economic data series observations with customizable parameters. Built with Python using FastMCP, this implementation by Jon Aldekoa allows querying time series data with options for date ranges, frequency aggregation, data transformations, and output formatting. The server handles API key management through environment variables and offers robust error handling for failed requests. It's particularly useful for economic analysis, financial research, and data visualization applications that require access to official U.S. economic indicators and historical data.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/jaldekoa/mcp-fredapi
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve FRED (Federal Reserve Economic Data) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.