pulsemcp verified Safe content atomic mcp-remote

FRED (Federal Reserve Economic Data)

FRED MCP Server provides AI assistants with access to Federal Reserve Economic Data through a secure proxy interface. Built with Python using the mcp-server library, it offers tools for searching, retrieving, and analyzing economic data series with features like rate limiting and caching. The implementation includes specialized tools for comparing multiple indicators, calculating statistics, and detecting trends in time series data. It also provides prompt templates to guide users in effectively utilizing FRED data for economic analysis. Particularly valuable for applications requiring real-time economic data analysis, financial research, and macroeconomic trend identification.

Cognium trust score

92%

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: ai-ml
Source: PulseMCP
Repository: github.com/milind-kulshrestha/fred_mcp_server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

View source Find related skills

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"