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elkassabgi

elkassabgidata

by elkassabgi
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ElkassabgiData MCP Server

A Model Context Protocol server that gives an AI assistant direct access to the three Elkassabgi data libraries: economic statistics, high-frequency US equity bars, and patent/innovation measures.

It runs as a Cloudflare Worker with a Durable Object per session.

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

What it does

Eleven tools across the three libraries. The four browse tools work with no account at all; the data tools need a free API key (see below).

Tool

Library

Key needed

search_econ_series

Econ

no

get_econ_series_metadata

Econ

no

list_econ_sources

Econ

no

get_data_freshness

all

no

get_family_status

all

no

get_auth_status

all

no

get_econ_series

Econ

yes

get_hf_download_link

HF equities

yes

get_hf_variables_dictionary

HF equities

yes

list_ip_bundles

IP / patents

yes

get_ip_download_link

IP / patents

yes

Every response carries the source's own licence with it, because the licence differs per source and honouring it is the user's obligation as much as ours.

Related MCP server: publicfinance

Getting an API key

Free, instant, and one key works across all three libraries: https://hfdatalibrary.com/pages/download

The key is used server-side only and is never echoed back into the conversation.

Install

Claude Code

claude mcp add --transport http elkassabgidata \
  https://elkassabgidata-mcp.elkassabgi.workers.dev/mcp \
  --header "Authorization: Bearer YOUR_KEY"

Claude Desktop

{
  "mcpServers": {
    "elkassabgidata": {
      "url": "https://elkassabgidata-mcp.elkassabgi.workers.dev/mcp",
      "headers": { "Authorization": "Bearer YOUR_KEY" }
    }
  }
}

Cursor

{
  "mcpServers": {
    "elkassabgidata": {
      "serverUrl": "https://elkassabgidata-mcp.elkassabgi.workers.dev/mcp",
      "headers": { "Authorization": "Bearer YOUR_KEY" }
    }
  }
}

ChatGPT developer mode

Add the connector URL directly:

https://elkassabgidata-mcp.elkassabgi.workers.dev/mcp?api_key=YOUR_KEY

A worked example

Calling search_econ_series with no API key:

{
  "jsonrpc": "2.0", "id": 2, "method": "tools/call",
  "params": {
    "name": "search_econ_series",
    "arguments": { "query": "unemployment rate", "limit": 3 }
  }
}

The actual response:

18,554 series match "unemployment rate". Showing 3:

bls:LNS14000000
   Unemployment rate, 16+ (SA, %) [M, US] 1948-01-01→2026-07-01 · license:us-public-domain
abs:LF:M13.3.1599.20.AUS.M
   Unemployment rate (persons, SA, Australia) [M, AU, Percent] 1978-02-28→2026-04-30 · license:cc-by-4.0
statcan:V2062815
   Unemployment rate, 15+, Canada (SA, %) [M, CA, percent] 1986-05-01→2026-04-01 · license:statcan-open

Fetch data with get_econ_series(series_id). Metadata + citation with get_econ_series_metadata.

Pass series_id to get_econ_series to pull the observations.

Development

npm install
npx wrangler dev      # local
npx wrangler deploy   # publish

The libraries

Licence

MIT — see LICENSE.

The data reached through this server is not MIT. Each dataset stays under the terms of the agency that published it, and those terms travel with every response.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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