About
DPLA — the Digital Public Library of America.
Remote endpoints: streamable-http: https://gateway.pipeworx.io/dpla/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (3232/3251 approved).
39 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-pipeworx-io-dpla": {
"url": "https://gateway.pipeworx.io/dpla/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
@pipeworx/dpla
The Digital Public Library of America — ~50 million digitised items aggregated from the Library of Congress, the National Archives, the Smithsonian, HathiTrust, Internet Archive and hundreds of state libraries, universities and historical societies, searchable in one query.
Part of Pipeworx — an MCP gateway connecting AI agents to 1683+ live data sources.
Tools
dpla_search_items(...)— search by free text, title, creator, contributing hub, subject, type, named collection or date range.dpla_item(id)— one record in full, including the raw source metadata as the contributing institution wrote it.dpla_collections(q | title)— which named collections inside contributing institutions hold matching material, with an item count each.
Auth
Platform-backed since 2026-09-18: PLATFORM_DPLA_KEY lives in the encrypted
platform_keys table (no Cloudflare binding) and platformKeyEnv is declared
in workers/gateway/src/pack-manifest.json, so callers need nothing. Pass your
own key as _apiKey to use it instead.
The key is free, instant and self-service — no approval, no plan, no payment:
curl -XPOST https://api.dp.la/v2/api_key/<your-email>
DPLA emails the key within a minute or two.
Verify the platform key is really set with
curl -s https://gateway.pipeworx.io/manifest.json → dpla.platform_key_set,
never from a file on a laptop.
Data sources
- https://api.dp.la/v2/items — item search;
dpla_collectionsis thesourceResource.collection.titlefacet of this same endpoint. - https://api.dp.la/v2/items/{id} — one record.
Notes the next person would otherwise rediscover:
/v2/collectionsno longer exists (fleet #2249, 2026-09-18). DPLA's API serves exactly three routes —GET /v2/items,GET /v2/items/{id},POST /v2/api_key/{email}(their source:github.com/dpla/dpla-api,src/index.ts).api.dp.la/v2/collectionsanswers404 The requested resource could not be foundto a valid key, the same body it gives no key at all. An earlier version of this pack read that 404 as "bad key" because it had only ever been run without a working one. Named collections now surface only as thesourceResource.collection.titlefacet on the items search (facets=sourceResource.collection.title,facet_sizeup to 2,000), which is whatdpla_collectionsis built on.- A 404 from DPLA is never a key problem. A missing key and a wrong key
give the identical 403 and the identical body
(
{"error":"invalid_api_key","message":"Invalid or inactive API key."}), checked before any other parameter is validated. So a 403 says nothing about whether the rest of the query was well formed, and a 404 says the path is gone, not that the key is. Verify a key by calling/v2/itemswith it, not by reading an error. page_size=0does not suppress docs — it falls through to DPLA's default page — sodpla_collectionsasks for one doc and ignores it.- Filters are dotted paths into the record, not flat names:
sourceResource.title,sourceResource.creator,provider.name,sourceResource.subject.name,sourceResource.collection.title,sourceResource.date.after. - Fields are a string in one contributor's records and an array in another's
— DPLA aggregates metadata written by hundreds of separate institutions and
does not normalise cardinality.
list()/one()in the pack handle both; anything readingd.sourceResource.creator[0]directly will break on some contributors.sourceResource.collectionis an object withtitle(notname), so it has its owncollectionTitles()reader. isShownAtis the object on the holding institution's own site; DPLA holds the description, the institution holds the object.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"dpla": {
"url": "https://gateway.pipeworx.io/dpla/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/dpla/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1683+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
curl -X POST https://gateway.pipeworx.io/v1/tools/dpla_search_items \
-H 'Content-Type: application/json' \
-d '{"q":"Dust Bowl","limit":10}'
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/dpla_search_items. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"dpla": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-dpla"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-dpla
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Dpla data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
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