Figma Context MCP
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Description from the maker (original English)
Genealogical research in the US National Archives Catalog: records, transcriptions, page images.
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Pick the AI app you use, then copy the settings.
NARA_API_KEY, NARA_CACHE_DIR, NARA_TIMEOUT, NARA_MONTHLY_CALL_BUDGETValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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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-mcpFill in the empty values before running it.
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.
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.
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NARA_CACHE_DIR envNARA_TIMEOUT envNARA_MONTHLY_CALL_BUDGET envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account ianderso, which owns the repo
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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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.
You need to fill in: NARA_API_KEY
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).
The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 33 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
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Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
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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.
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
| Tool | Purpose |
|---|---|
search_records | Search 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_advanced | The 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_children | The immediate children of a node: record group to series to file unit to item. Walk down from a series you trust. |
Reading a record
| Tool | Purpose |
|---|---|
get_record | Read one record in full by NAID: scope and content note, hierarchy, reference units, every page image with its object id. |
get_record_images | Page images in page order, each with its object id and URL — the evidence to read before citing. |
download_page_image | Save 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_availability | Where else the record is published online, including by commercial partners. |
get_partner_digital_objects | Digital 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.
| Tool | Purpose |
|---|---|
get_extracted_text | OCR 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_transcriptions | Citizen transcriptions — how you get into a handwritten pension file that OCR cannot touch. |
get_tags | Citizen tags, which on genealogical records are usually the names of the people inside the file. |
get_comments | Other researchers' notes on the record. |
Searching the documents rather than the catalogue
| Tool | Purpose |
|---|---|
search_by_contribution_text | Search transcriptions, tags, comments and OCR text — and get full record summaries back. |
search_transcriptions | Find records whose transcribed text mentions a name or phrase. |
search_tags | Find records carrying a tag, exactly or by word. |
search_extracted_text | Find records whose partner-contributed extracted text matches. |
search_comments | Find 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.
| Tool | Purpose |
|---|---|
aad_list_series | The series in an AAD category (genealogy by default), each with its files and their ids. A search runs on one file. |
aad_search | Search one file by free text over the whole row and by named fields; 50 rows a page, each with its record id. |
aad_get_record | One row in full, every coded value with its meaning, and a citation in NARA's recommended form with the date retrieved. |
Housekeeping
| Tool | Purpose |
|---|---|
api_budget | Live 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. |
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.
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 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
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.
| Variable | Meaning |
|---|---|
NARA_API_KEY | Your Catalog API key. Required by the Catalog tools; the AAD tools need none. |
NARA_CACHE_DIR | Response cache directory. Default ~/.cache/nara-catalog-mcp. |
NARA_TIMEOUT | HTTP timeout in seconds. Default 60. |
NARA_MONTHLY_CALL_BUDGET | Calls 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.
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.
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.
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.
AAD has no API, so aad_* read its web pages the way a browser does, and parse them. That shapes how they behave:
aad_list_series comes first.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.NARA_CACHE_DIR/aad; refresh=true on aad_get_record fetches a row again.Only the beginning is shown; read the rest in the repo