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NARA Catalog

by iandersoversion 1.1.0i★ –iRuns on your computer
Registry nameio.github.ianderso/nara-catalog-mcp

Install

Overview

Description from the maker (original English)

Genealogical research in the US National Archives Catalog: records, transcriptions, page images.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio
  • You need to fill in: NARA_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: NARA_API_KEY, NARA_CACHE_DIR, NARA_TIMEOUT, NARA_MONTHLY_CALL_BUDGET

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "nara-catalog": {
      "command": "uvx",
      "args": [
        "nara-catalog-mcp"
      ],
      "env": {
        "NARA_API_KEY": "your-value",
        "NARA_CACHE_DIR": "your-value",
        "NARA_TIMEOUT": "your-value",
        "NARA_MONTHLY_CALL_BUDGET": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add nara-catalog --env NARA_API_KEY=your-value --env NARA_CACHE_DIR=your-value --env NARA_TIMEOUT=your-value --env NARA_MONTHLY_CALL_BUDGET=your-value -- uvx nara-catalog-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "nara-catalog": {
      "command": "uvx",
      "args": [
        "nara-catalog-mcp"
      ],
      "env": {
        "NARA_API_KEY": "your-value",
        "NARA_CACHE_DIR": "your-value",
        "NARA_TIMEOUT": "your-value",
        "NARA_MONTHLY_CALL_BUDGET": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "nara-catalog": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "nara-catalog-mcp"
      ],
      "env": {
        "NARA_API_KEY": "your-value",
        "NARA_CACHE_DIR": "your-value",
        "NARA_TIMEOUT": "your-value",
        "NARA_MONTHLY_CALL_BUDGET": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • NARA_API_KEY secret required env
    Catalog API key, requested from the National Archives Catalog API team.
  • NARA_CACHE_DIR env
    Directory for the on-disk response cache.
  • NARA_TIMEOUT env
    HTTP timeout in seconds.
  • NARA_MONTHLY_CALL_BUDGET env
    Calls per month the key allows, reported by api_budget.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ianderso, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2764 servers in this category
  • Published to the registry more recently than 46% of the other 2764 servers in this category
  • Basic checks equal to or better than 100% of the other 2764 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is NARA Catalog safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: NARA_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 33 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

nara-catalog-mcp

An MCP server for genealogical research in the US National Archives Catalog. Find an ancestor's pension file, service record or census page, read what machines and volunteers have transcribed from it, and fetch the page images you will cite. It also searches NARA's Access to Archival Databases (AAD), which the Catalog cannot reach: the NUMIDENT's Social Security applications and deaths, the WWII Army enlistment cards, and the 1820–1912 ship passenger lists among them.

It works the way a careful genealogist does. A catalogue description is a finding aid, and OCR text, transcriptions and tags are somebody else's reading of the page: all of them are leads. The page image is the source. The tools say which is which, and the server tells the model to read the image before citing it.

Nothing here writes to the Catalog, and nothing here keeps a family tree. The server finds and reads records; what you conclude from them belongs in your genealogy software, or in a family-tree MCP server running alongside this one.

The tools work on any record the Catalog describes, so a historian or a journalist can use them too. The examples throughout are about tracing people.

This is an independent project. It is not affiliated with, endorsed by, or supported by the National Archives and Records Administration.

Tools

The server publishes 21 tools. Twenty only read, and are annotated read-only for the client. One, download_page_image, writes a new file to local disk; it never overwrites one.

Finding a record

ToolPurpose
search_recordsSearch by title or full text. Returns totals plus compact summaries: NAID, hierarchy, holding unit, date coverage, image count. Each series names its creator, the office that made it, which tells apart the many series sharing a title.
search_records_advancedThe same search with the filters that narrow a common name: date range, record group, collection, ancestor NAID, level of description, microfilm publication number, local identifier, any control number, Congress number, reference unit, creator, person or organisation, place, type of materials, recurring date, digitised-only, "has transcriptions/tags/comments", exact matching of identifiers, search_after cursor paging past 10,000 hits, and each hit's OCR text (NARA's and partners') folded in on request.
browse_childrenThe immediate children of a node: record group to series to file unit to item. Walk down from a series you trust.

Reading a record

ToolPurpose
get_recordRead one record in full by NAID: scope and content note, hierarchy, reference units, every page image with its object id.
get_record_imagesPage images in page order, each with its object id and URL — the evidence to read before citing.
download_page_imageSave one page to a new local file, by page number or by the object id an OCR or transcription entry names. The media host is open, so this spends no API quota.
get_online_availabilityWhere else the record is published online, including by commercial partners.
get_partner_digital_objectsDigital object ids a commercial partner (Ancestry among them) has matched to this NAID. An empty list is the common answer.

What machines and other people read in it

Everything in this group is somebody else's reading of the document. It tells you which page to open. It does not tell you what the page says.

ToolPurpose
get_extracted_textOCR text extracted from the page images, per digital object, with who produced it, and the object total and next results page when a file runs longer than one call.
get_transcriptionsCitizen transcriptions — how you get into a handwritten pension file that OCR cannot touch.
get_tagsCitizen tags, which on genealogical records are usually the names of the people inside the file.
get_commentsOther researchers' notes on the record.

Searching the documents rather than the catalogue

ToolPurpose
search_by_contribution_textSearch transcriptions, tags, comments and OCR text — and get full record summaries back.
search_transcriptionsFind records whose transcribed text mentions a name or phrase.
search_tagsFind records carrying a tag, exactly or by word.
search_extracted_textFind records whose partner-contributed extracted text matches.
search_commentsFind records other researchers have commented on.

NARA's Access to Archival Databases (AAD)

AAD serves a selection of NARA's electronic records as searchable tables. Each row is a database entry an agency clerk typed from a record: a transcription or index entry, not the record, and cited as an electronic record. These tools need no key and spend none of the Catalog allowance.

ToolPurpose
aad_list_seriesThe series in an AAD category (genealogy by default), each with its files and their ids. A search runs on one file.
aad_searchSearch one file by free text over the whole row and by named fields; 50 rows a page, each with its record id.
aad_get_recordOne row in full, every coded value with its meaning, and a citation in NARA's recommended form with the date retrieved.

Housekeeping

ToolPurpose
api_budgetLive calls and cache hits this session, the month's live calls from a ledger beside the cache, and what remains of the key's monthly allowance.

Setup

You need Python 3.11 or later, uv, and a Catalog API key. Request a key from the Catalog API team via the API documentation; the default allowance is 10,000 calls per month.

There are two ways to run the server.

Without cloning. uvx fetches it from PyPI and runs it in one step, and caches the result:

NARA_API_KEY=your-key uvx nara-catalog-mcp

From a clone, which is what you want if you will change it:

git clone https://github.com/ianderso/nara-catalog-mcp

cd nara-catalog-mcp uv sync cp .env.example .env # then put your key in it uv run nara-catalog-mcp # stdio server, usually launched by the client

Either way the server speaks MCP over stdio, so you will normally let an MCP client start it rather than run it by hand.

Claude Desktop

Without cloning:

{

"mcpServers": { "nara": { "command": "uvx", "args": ["nara-catalog-mcp"], "env": { "NARA_API_KEY": "your-key" } } } }

From a clone (the env block can be dropped if the key is in the clone's .env):

{

"mcpServers": { "nara": { "command": "uv", "args": ["--directory", "/path/to/nara-catalog-mcp", "run", "nara-catalog-mcp"], "env": { "NARA_API_KEY": "your-key" } } } }

A desktop app does not always inherit your shell's PATH. If the server fails to start because uv or uvx cannot be found, give the full path that which uvx prints as the command.

Claude Code
claude mcp add nara --env NARA_API_KEY=your-key -- uvx nara-catalog-mcp

or, from a clone whose .env holds the key:

claude mcp add nara -- uv --directory /path/to/nara-catalog-mcp run nara-catalog-mcp

Configuration

All settings come from the environment. A .env file in the directory the server starts in supplies any that the environment does not; with uv --directory that is the clone. Only that directory is read — not its parents, and not the directory the package is installed in.

VariableMeaning
NARA_API_KEYYour Catalog API key. Required by the Catalog tools; the AAD tools need none.
NARA_CACHE_DIRResponse cache directory. Default ~/.cache/nara-catalog-mcp.
NARA_TIMEOUTHTTP timeout in seconds. Default 60.
NARA_MONTHLY_CALL_BUDGETCalls per month the key allows, reported by api_budget. Default 10000.

A missing key, or an unusable value, is reported on the first tool call as a not_configured result naming the variable.

The call budget

A Catalog key is capped per month, and a sweep across many names will exhaust it faster than expected. Every successful response is cached on disk, keyed by endpoint and query, so repeating a call costs nothing. Live calls are also written to a ledger, budget.json beside the cache, so api_budget reports the month's spend across sessions as well as this session's live calls and cache hits. A rejected call counts as live, since it reached the API. The ledger sees one machine and one cache directory; the Catalog's own count is the authority.

The cache never expires. Pass refresh=true to get_record, get_record_images, get_extracted_text, get_transcriptions, get_tags or get_comments to re-read one answer from the Catalog: that spends one call and replaces the cached copy. New transcriptions and tags arrive over time, and a file that was paper-only can be digitised, so a cached "nothing here" is the answer most worth refreshing. Deleting NARA_CACHE_DIR still works, and also resets the month's ledger.

Searching past the first 10,000 hits

page stops working beyond 10,000 results, which a common surname passes. search_records_advanced reports a paging_note when you hit that boundary; either narrow the search or re-run it with search_after="*" and follow the next_search_after value from each response.

How a search behaves

title matches words in the record title and is the precise option — case files are usually titled with the person's name. query searches the full description: broader, noisier, and worth reaching for only when a title search finds nothing.

Results come back as summaries rather than whole records. A raw Catalog record is large and mostly irrelevant to the decision you are making, which is whether this record is worth opening.

Searching AAD

AAD has no API, so aad_* read its web pages the way a browser does, and parse them. That shapes how they behave:

  • One file at a time. A big series is split into files, and a search runs on one. The NUMIDENT is split by entry type (application, claim, death) and by surname range, so aad_list_series comes first.
  • Fields by name. fields={"LAST NAME": "PRESLEY", "DATE OF BIRTH (YEAR)": "1930-1935"}. A field AAD stores as a code, such as a state or a country, cannot be searched by name: put its meaning in query, which matches the whole row, code meanings included.
  • Slow on purpose. One request at a time, at least two seconds apart, and a search usually takes two requests because AAD answers first with a "Please Wait" page. Answers are cached for seven days, under NARA_CACHE_DIR/aad; refresh=true on aad_get_record fetches a row again.
  • Record ids are not stable. NARA reloads files, and a reload can renumber the rows. Search again rather than reuse an old id, and cite a row by its fields, its file and its series.
  • A row is not the record. It was keyed from an SS-5, a punch card or a manifest, with the keying errors that brings, and no file holds everyone. The NUMIDENT has entries only for people with a verified death or born before 1908, and its death file omits state-reported deaths. Each answer carries AAD's own notice for the file, and a NUMIDENT answer says what that file leaves out.

Notes

  • A description is not evidence. It summarises a file; it says nothing about what any individual page contains. Read the images before citing.

Only the beginning is shown; read the rest in the repo

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