pulsemcp verified Safe content atomic mcp-remote

FRED (Federal Reserve Economic Data)

FRED MCP Server provides a bridge to the Federal Reserve Economic Data API, enabling AI assistants to retrieve economic time series data. Developed by Stefano Amorelli, it currently supports tools for accessing Overnight Reverse Repurchase Agreements (RRPONTSYD) and Consumer Price Index (CPIAUCSL) datasets with customizable parameters for date ranges, observation limits, and sorting options. The server is built with TypeScript using the Model Context Protocol SDK, handles API authentication, and formats responses for easy consumption. This implementation is particularly valuable for financial analysis, economic research, and data-driven decision making where access to authoritative U.S. economic indicators is needed.

Cognium trust score

84%

Tier

Verified

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 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: security
Source: PulseMCP
Repository: github.com/stefanoamorelli/fred-mcp-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"