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MCP Archiveorg

by smeet666version 2.1.0i★ –iRuns on your computer
Registry nameio.github.smeet666/mcp-archiveorg

Install

Overview

Description from the maker (original English)

Search inside digitised books, browse the Internet Archive catalogue and read Wayback captures.

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: Search & AI memory

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: IA_USER_AGENT, IA_MIN_INTERVAL_MS, IA_HISTORY_TIMEOUT_MS, IA_LOG_LEVEL

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

claude mcp add archiveorg --env IA_USER_AGENT=your-value --env IA_MIN_INTERVAL_MS=your-value --env IA_HISTORY_TIMEOUT_MS=your-value --env IA_LOG_LEVEL=your-value -- npx -y mcp-archiveorg

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": {
    "archiveorg": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-archiveorg"
      ],
      "env": {
        "IA_USER_AGENT": "your-value",
        "IA_MIN_INTERVAL_MS": "your-value",
        "IA_HISTORY_TIMEOUT_MS": "your-value",
        "IA_LOG_LEVEL": "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": {
    "archiveorg": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-archiveorg"
      ],
      "env": {
        "IA_USER_AGENT": "your-value",
        "IA_MIN_INTERVAL_MS": "your-value",
        "IA_HISTORY_TIMEOUT_MS": "your-value",
        "IA_LOG_LEVEL": "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

  • IA_USER_AGENT env
    Identify your own client. The project's own identifier is appended, so the Archive can always reach a human.
  • IA_MIN_INTERVAL_MS env
    Minimum milliseconds between requests. Default 1000, floor 500.
  • IA_HISTORY_TIMEOUT_MS env
    Deadline for the capture index, which answers in tens of seconds. Default 60000.
  • IA_LOG_LEVEL env
    silent, error, info or debug. Default error. Logs go to stderr.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account smeet666, 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 Search & AI memoryi

  • More stars than 0% of the other 7284 servers in this category
  • Published to the registry more recently than 81% of the other 7284 servers in this category
  • Basic checks equal to or better than 100% of the other 7284 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 MCP Archiveorg 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (2.1.0) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, MCPB on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

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.

mcp-archiveorg

The Internet Archive is a non-profit library that keeps what the world publishes: scanned books, films, recorded music, radio, software, and the pages of the web itself, captured over and over since 1996 in the Wayback Machine. Millions of its books and documents have been run through optical character recognition, so the words inside them can be searched, and the Open Library index beside it describes works, their editions and their subjects.

This server connects a chat client to that library. You can search the full text inside its documents, search its catalogue of items, read one item's record and its files, look up a book by subject, place, period or person, and read the web as it stood on a given day. It needs no API key and no account.

_Version française_


Install

One-click install

Claude Code

claude mcp add archiveorg -- npx -y mcp-archiveorg

Claude Desktop, Cursor, and any client using the standard config format

{

"mcpServers": { "archiveorg": { "command": "npx", "args": ["-y", "mcp-archiveorg"] } } }

Node 24 or later is required, and no environment variable has to be set.

With Docker
{

"mcpServers": { "archiveorg": { "command": "docker", "args": ["run", "-i", "--rm", "ghcr.io/smeet666/mcp-archiveorg:2.1.0"] } } }

-i keeps stdin open, which is where the protocol travels, and -t is left out because a TTY rewrites the stream. The container needs outbound HTTPS to archive.org, web.archive.org and openlibrary.org, and nothing else: no volume, no port, no credential.

Bundle, without npm

Download mcp-archiveorg-2.1.0.mcpb from the latest release and open it. A client that supports MCP bundles installs it on its own, with no npm and no configuration file to edit. The bundle carries its dependencies, so nothing is fetched at install time.

What you can ask

  • "Which books mention the Beaumont light-house?"
  • "Find me items about the 1906 San Francisco earthquake."
  • "What files does that item hold, and what licence is it under?"
  • "Find me books on beekeeping in France published before 1900."
  • "What did that website look like in March 2001?"

The ordinary path runs from a search to a record: a row carries an identifier, and get_item reads it.

Tools

ToolWhat it does
search_insideSearches the words inside the archive's scanned documents.
search_itemsSearches the catalogue by title, creator, subject and media type.
get_itemReads one item's record, its files and its licence.
search_booksFinds books by subject, place, period, person, length or year.
list_snapshotsLists the captures the Wayback Machine holds for an address.
get_snapshotReads one capture of an address, at or near a date.
search_inside

Searches the text inside the archive's documents, which came off the page through optical character recognition, so a passage carries the misreadings of that process.

ArgumentTypeRequiredWhat it does
querystring, 2 to 300 charactersyesThe phrase to look for inside the documents.
limitinteger, 1 to 50, default 10noMatches to serve.
pageinteger, 1 to 100, default 1noWhich page of matches.
max_excerpt_charsinteger, 80 to 1200, default 300noHow much of a passage to serve.
max_excerpts_per_matchinteger, 1 to 10, default 3noPassages served per matching document.

In return: hits, each carrying identifier, which get_item takes; title, creator and year; excerpts, the passages as a machine read them off the page; matched_file, naming what actually holds the passage; and source_url. inside_container is true when the item bundles several documents and the passage sits in one of them, in which case the title, the creator and the year belong to the container.

`total` counts documents, and it pages. It is a number of documents and the last page of a match set is shorter than the first. No page number is available: the index reports where the text sits inside the item, which is 1 on nearly every match, so nothing here states a page of a book and no link claims one.

search_items

Searches the catalogue itself, across every kind of thing the archive holds.

ArgumentTypeRequiredWhat it does
querystring, 1 to 300 charactersyesWords to look for in the catalogue.
media_typetexts, movies, audio, image, software, data or webnoThe kind of thing to keep.
year_frominteger, 1 to 2200noEarliest year.
year_tointeger, 1 to 2200noLatest year.
sortrelevance, downloads, newest, oldest or title, default relevancenoHow the rows are ordered.
limitinteger, 1 to 50, default 10noRows to serve.
pageinteger, 1 to 100, default 1noWhich page of rows.

In return: items, each carrying identifier, title, creator, year, media_type, downloads and source_url, a field the record leaves empty being null. total counts the items matching across the catalogue, which is more than the number returned.

get_item

Reads one item's record. The heavier parts are asked for rather than served by default, since a record can run long.

ArgumentTypeRequiredWhat it does
identifierstring, 1 to 200 charactersyesThe identifier a search row carries.
sectionsarray of basic, files, full_metadata, default ["basic"]noWhich parts to return.
file_formatstring, up to 60 charactersnoKeep the files of one format.
max_filesinteger, 1 to 200, default 25noCeiling on the files returned.
max_description_charsinteger, 100 to 20000, default 2000noHow much of the description to serve.

In return: the item with its title, creator, year, media_type and source_url, plus description, date, publisher, language, collections and license_url, each null where the record states nothing. file_count counts the files the item holds whatever this answer returned, and total_bytes their weight. files and full_metadata are present only when asked for in sections.

search_books

Finds books through the index of works beside the archive, which describes a work and its editions rather than one scanned copy.

ArgumentTypeRequiredWhat it does
querystring, 2 to 300 charactersnoFree text, when there is any.
subjectstring, 2 to 100 charactersnoA subject the index files works under.
placestring, 2 to 100 charactersnoA place a work is about.
timestring, 2 to 100 charactersnoA period a work is about.
personstring, 2 to 100 charactersnoA person a work is about.
languagestring, 2 to 20 charactersnoThe language of the work.
year_frominteger, 1 to 2200noEarliest first publication.
year_tointeger, 1 to 2200noLatest first publication.
pages_mininteger, 1 to 100000noShortest acceptable work.

| pages_max | integer, 1 to 100000

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

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