Data Collection

elkassabgidata.com

Provides search, download, and metadata retrieval for economic time series from over 300 sources.

1 endpoint11 known toolsFirst detected July 25, 2026Last detected August 29, 2026

ENDPOINT 1

https://elkassabgidata-mcp.elkassabgi.workers.dev/mcp

No auth detected

MCP server metadata

Name: elkassabgidata
Version: 1.0.0

Capabilities

tools.listChangedresources.listChangedprompts.listChanged

Known tools 11

search_econ_series

Search the Econ Data Library catalog (billions of series from 300+ sources: national accounts, prices, trade, labor, energy, markets…).

Potential side effects

get_econ_series

Download an economic time series as rows (long format: date, value) with its citation and license.

Inferred read-only

get_econ_series_metadata

Full metadata for one econ series: title, frequency, geography, unit, license (incl.

Inferred read-only

list_econ_sources

List the Econ Data Library's sources (309: statistical offices, central banks, IGOs, research datasets) with their licenses.

Inferred read-only

get_data_freshness

Live per-source update status straight from the automated updater's ledger: last successful update, data frontier, and honest stale/failure flags (dates are NEVER fabricated — a silent upstream outage shows here as stale, not papered over).

Potential side effects

get_hf_download_link

Authenticated download instructions for HF Data Library's 1-minute OHLCV bars (full per-ticker history, 1,391 US stocks/ETFs, 2002→yesterday; parquet or csv) or the 25 pre-computed academic variables.

Inferred read-only

get_hf_variables_dictionary

The exact definitions/formulas of HF Data Library's 25 pre-computed academic variables (realized volatility family, spreads, jumps, liquidity, data-quality).

Inferred read-only

list_ip_bundles

List the IP Data Library's snapshot-pinned patent/innovation bundles (patent-level measures on 9.

Inferred read-only

get_ip_download_link

Authenticated download instructions for an IP Data Library bundle — patent-level innovation measures (citations, originality/generality, grant lag, team size) or the assignee-year panel.

Inferred read-only

get_family_status

Live status of the whole ElkassabgiData family: both libraries' headline stats and data currency.

Inferred read-only

get_auth_status

Whether this MCP connection has an ElkassabgiData API key configured (masked — the key itself is never echoed), and how to add one.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.elkassabgidata]
url = "https://elkassabgidata-mcp.elkassabgi.workers.dev/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "elkassabgidata": {
      "type": "http",
      "url": "https://elkassabgidata-mcp.elkassabgi.workers.dev/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: elkassabgidata
Remote MCP URL: https://elkassabgidata-mcp.elkassabgi.workers.dev/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "elkassabgidata": {
      "url": "https://elkassabgidata-mcp.elkassabgi.workers.dev/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "elkassabgidata": {
      "type": "http",
      "url": "https://elkassabgidata-mcp.elkassabgi.workers.dev/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "elkassabgidata",
  "transport": "streamable-http",
  "url": "https://elkassabgidata-mcp.elkassabgi.workers.dev/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for workers.dev was fetched 2026-08-25T16:44:24.083Z.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.