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Dataset MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 8:44:27 PM

Dataset MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Free samples from the jayjex Data Vault: HUD rents, NFL lines, Airbnb. Fetched on demand.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "dataset-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@jayjex/dataset-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ”’ More in Security

Documentation Overview

dataset-mcp

MCP server over the jayjex Data Vault. Sample data is free, and since v1.1.0 the full released files are queryable too: filter, paginate, and summarize every row without downloading anything yourself.

Full data lives in a public GitHub release (data-v1, 24 MB across 26 files). The server downloads a file once into ~/.cache/dataset-mcp/, pins the cache to the manifest SHA-256, and then answers queries from memory.

Run it with npx -y @jayjex/dataset-mcp (npm) or npx -y github:jayjex/dataset-mcp (repo). See Config below.

Datasets

Browse the full catalog at jayjex.github.io/data-vault: 51,895 HUD rent rows, 7,548 NFL games, 90,169 Airbnb listings. Samples are free, and this server queries the full files at no cost.

slugwhat it isrowslicense
nfl-gamesNFL games with scores, closing spreads, totals, moneylines, 1999-20267,548 + 2 derived tablesCC BY 4.0 (nflverse)
hud-fmr-2026HUD Fair Market Rents FY2026, rent by ZIP, county, and state51,895 + 2 tablesPublic domain (US government data)
hud-fmr-2027HUD Fair Market Rents FY2027, effective October 1, 2026, same three tables51,871 + 2 tablesPublic domain (US government data)
airbnb-six-citiesAirbnb listings in Austin, Nashville, Denver, NYC, Las Vegas, San Diego90,169 across 6 filesCC BY 4.0 (Inside Airbnb)
earn-bountiesSuperteam Earn listings: cards, full descriptions, 186+ API routes51 cards / 28 descriptionsPublic API aggregate
scraper-packPlaywright scraping scripts (samples only)n/aSee data-vault page

Tools

  • list_datasets(): every dataset in the catalog plus full-query availability and release sizes.
  • get_dataset_info(slug): catalog entry merged with the release manifest: file list with row counts, byte sizes, SHA-256, attribution, and query tips.
  • get_sample(slug, format): free preview rows, about 22 per dataset.
  • query_dataset(slug, {file?, columns?, where?, limit?, offset?, format?}): filter and paginate the full file. where clauses support =, contains (case-insensitive), gt, lt; numeric compare when both sides are numeric, lexicographic fallback for dates and strings. 100 rows per call, next_offset pages through the rest.
  • get_stats(slug, {file?, column?, top?}): row count, non-empty and unique counts, numeric min/max/mean, top-N value frequencies.

Query examples

New York, NY rents from the FY2027 ZIP table (51,871 rows, rates effective October 1, 2026):

Code
query_dataset("hud-fmr-2027", {
  where: [{ column: "state", op: "=", value: "NY" }],
  limit: 5
})

Returns total_matched: 2397 with rows like:

config.json
{
  "zip": "10001",
  "area_name": "New York, NY HUD Metro FMR Area",
  "state": "NY",
  "fmr_2br": "4460"
}

Texas rents from the FY2026 ZIP table:

Code
query_dataset("hud-fmr-2026", {
  where: [{ column: "state", op: "=", value: "TX" }],
  limit: 5
})

Returns total_matched: 3247 with rows like:

config.json
{
  "zip": "76437",
  "area_name": "Abilene, TX MSA",
  "state": "TX",
  "fmr_2br": "1090"
}

Every 2025 NFL game (285 matched):

Code
query_dataset("nfl-games", {
  where: [{ column: "season", op: "=", value: 2025 }],
  limit: 10
})

NYC Airbnb price stats:

Code
get_stats("airbnb-six-cities", { file: "airbnb-new-york-city.csv", column: "price" })

Returns rows: 30234, min: 4.58, max: 31210.79, mean: 267.35 plus the most common prices.

Filter JSON without converting to CSV:

Code
query_dataset("earn-bounties", {
  where: [{ column: "rewardAmount", op: "gt", value: 5000 }],
  columns: ["title", "rewardAmount", "token"]
})

format: "csv" returns the page as CSV text if your pipeline prefers raw rows.

Config

From npm (works everywhere, no git access needed):

config.json
{
  "mcpServers": {
    "dataset-mcp": {
      "command": "npx",
      "args": ["-y", "@jayjex/dataset-mcp"]
    }
  }
}

pi, Codex, or other TOML-based agents:

toml
[mcp_servers.dataset-mcp]
command = "npx"
args = ["-y", "@jayjex/dataset-mcp"]

From GitHub (same server, pulls the repo instead of the npm tarball):

Claude Desktop (claude_desktop_config.json):

config.json
{
  "mcpServers": {
    "dataset-mcp": {
      "command": "npx",
      "args": ["-y", "github:jayjex/dataset-mcp"]
    }
  }
}

npm 12 refuses git-based installs by default (EALLOWGIT). Pass the flag through npx:

config.json
{
  "mcpServers": {
    "dataset-mcp": {
      "command": "npx",
      "args": ["--allow-git=all", "-y", "github:jayjex/dataset-mcp"]
    }
  }
}

or set allow-git=github.com once in your ~/.npmrc. npm 10 and 11 need no flag.

How it works

Three HTTPS sources, no API key, no auth, no tracking:

  • https://jayjex.github.io/data-vault/catalog.json: dataset index (cached 10 minutes).
  • https://raw.githubusercontent.com/jayjex/dataset-mcp/main/data/manifest.json: release manifest with per-file SHA-256, rows, bytes, and download URLs (cached 10 minutes).
  • https://github.com/jayjex/dataset-mcp/releases/download/data-v1/<file>: the full files themselves, streamed into the local cache on first query.

A cached file is re-verified against the manifest hash on every load, so a stale or corrupted cache triggers one fresh download instead of serving wrong data. If a tool returns a network error, check that your agent can reach github.com and raw.githubusercontent.com.

Environment overrides:

  • DATA_VAULT_CATALOG_URL: catalog URL (default above).
  • DATA_VAULT_SAMPLE_BASE: sample base URL (default https://jayjex.github.io/data-vault/data).
  • DATASET_MCP_MANIFEST_URL: manifest URL (default above).
  • DATASET_MCP_CACHE_DIR: cache directory (default ~/.cache/dataset-mcp).

Licenses

MIT for the server code. Per-dataset licenses ship in the manifest and in get_dataset_info: public domain for US government data, CC BY 4.0 where the sources require attribution (nflverse, Inside Airbnb). Keep the attribution lines when you republish the data.

Roadmap

Query access is free and unlimited. A paid per-call tier over x402 is planned for high-volume commercial scraping of the same files; the free query path stays.

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Dataset MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "dataset-mcp": { "command": "npx", "args": ["-y", "dataset-mcp"] } }

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Technical Specs & Signals

CategoryπŸ”’Security
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
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36Quality signal: Fair Β· 36/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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