Open Food Facts MCP
MCP server for Open Food Facts product, ingredient, allergen, and nutrition lookup.
Description from the maker (original English)
Search the Internet Archive, the Library of Congress and data.bnf.fr at once, in one answer.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
BOOKS_USER_AGENT, BOOKS_MIN_INTERVAL_MS, BOOKS_TIMEOUT_MS, BOOKS_MAX_RETRIES, BOOKS_CACHE_TTL_MS, BOOKS_CACHE_MAX_ENTRIES, BOOKS_LOG_LEVELYou need
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 books --env BOOKS_USER_AGENT=your-value --env BOOKS_MIN_INTERVAL_MS=your-value --env BOOKS_TIMEOUT_MS=your-value --env BOOKS_MAX_RETRIES=your-value --env BOOKS_CACHE_TTL_MS=your-value --env BOOKS_CACHE_MAX_ENTRIES=your-value --env BOOKS_LOG_LEVEL=your-value -- npx -y mcp-booksFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"books": {
"command": "npx",
"args": [
"-y",
"mcp-books"
],
"env": {
"BOOKS_USER_AGENT": "your-value",
"BOOKS_MIN_INTERVAL_MS": "your-value",
"BOOKS_TIMEOUT_MS": "your-value",
"BOOKS_MAX_RETRIES": "your-value",
"BOOKS_CACHE_TTL_MS": "your-value",
"BOOKS_CACHE_MAX_ENTRIES": "your-value",
"BOOKS_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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"books": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-books"
],
"env": {
"BOOKS_USER_AGENT": "your-value",
"BOOKS_MIN_INTERVAL_MS": "your-value",
"BOOKS_TIMEOUT_MS": "your-value",
"BOOKS_MAX_RETRIES": "your-value",
"BOOKS_CACHE_TTL_MS": "your-value",
"BOOKS_CACHE_MAX_ENTRIES": "your-value",
"BOOKS_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.
BOOKS_USER_AGENT envBOOKS_MIN_INTERVAL_MS envBOOKS_TIMEOUT_MS envBOOKS_MAX_RETRIES envBOOKS_CACHE_TTL_MS envBOOKS_CACHE_MAX_ENTRIES envBOOKS_LOG_LEVEL 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 smeet666, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
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
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 (2.1.0) reached the registry 10 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, MCPB on your computer.
In the same category: Open Food Facts MCP, Modrinth MCP, Lichess MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP server for Open Food Facts product, ingredient, allergen, and nutrition lookup.
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MCP server for Lichess, chess puzzles by rating, player stats, top players.
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.
Three great archives hold the scanned record of what was published, and each describes it in its own words. The Internet Archive keeps books, films, recordings and software deposited by anyone, and has run millions of them through optical character recognition. The Library of Congress publishes the national collections of the United States, one catalogue per kind of material. data.bnf.fr publishes the authority records of the Bibliothèque nationale de France, which describe works and the people who wrote them rather than copies.
This server reads all three with one question. You can search the words inside the scanned documents, search the catalogues, and read one record in a single shape whichever archive holds it. It needs no API key and no account.
_Version française_
One-click install
Claude Code
claude mcp add books -- npx -y mcp-books
Claude Desktop, Cursor, and any client using the standard config format
{
"mcpServers": { "books": { "command": "npx", "args": ["-y", "mcp-books"] } } }
Node 24 or later is required, and no environment variable has to be set.
{
"mcpServers": { "books": { "command": "docker", "args": ["run", "-i", "--rm", "ghcr.io/smeet666/mcp-books: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, openlibrary.org, www.loc.gov and data.bnf.fr, and nothing else: no volume, no port, no credential.
Download mcp-books-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.
An answer takes several seconds: three archives are asked, each at its own pace.
| Source | Archive | What it describes |
|---|---|---|
archive | the Internet Archive | deposited copies, of every kind |
loc | the Library of Congress | the national collections, one catalogue per kind |
bnf | the Bibliothèque nationale de France | works and the people who wrote them |
A row's id names its archive, so an identifier read from one answer goes back to the right one. Counts are never added across archives, and an archive that failed is reported as having failed rather than as having found nothing.
| Tool | What it does |
|---|---|
search_inside | Searches the words inside the scanned documents. |
search_items | Searches the catalogues by title, creator, subject or plain words. |
get_item | Reads one record in a single shape, whichever archive holds it. |
search_insideSearches the text inside the scanned documents, which came off the page through optical character recognition.
| Argument | Type | Required | What it does |
|---|---|---|---|
query | string, 2 to 300 characters | yes | The phrase to look for inside the documents. |
limit | integer, 1 to 25, default 3 | no | Matches to keep from each archive. |
page | integer, 1 to 100, default 1 | no | Which page of matches. |
max_excerpt_chars | integer, 80 to 1200, default 300 | no | How much of a passage to serve. |
max_excerpts_per_match | integer, 1 to 10, default 2 | no | Passages served per matching document. |
fan_out | boolean, default true | no | Ask every archive rather than stopping at the first that answers. |
sources | array of source ids | no | Ask these archives alone. |
In return: hits, each carrying id, which get_item takes and which names its archive; source and source_name; the archive's own identifier without the prefix; title, creator and year; page_number where the archive states one; excerpts; and excerpt_kind.
`excerpt_kind` decides what an excerpt is worth. A passage is the text around the words that matched. A page_opening is the start of the page, sent because the machine-read text the archive returned stops before those words appear: it does not carry the match, so quoting it quotes something else. All the excerpts of one match are of one kind.
search_itemsSearches the catalogues.
| Argument | Type | Required | What it does |
|---|---|---|---|
query | string, 1 to 300 characters | yes | A title, a creator, a subject, or plain words. |
media_type | a kind one of the archives holds | no | Which kind of material to search. |
year_from | integer, 1000 to 2100 | no | Earliest year. |
year_to | integer, 1000 to 2100 | no | Latest year. |
sort | relevance, newest, oldest or title, default relevance | no | How the rows are ordered. |
limit | integer, 1 to 25, default 5 | no | Rows to keep from each archive. |
page | integer, 1 to 100, default 1 | no | Which page of rows. |
fan_out | boolean, default true | no | Ask every archive. |
sources | array of source ids | no | Ask these archives alone. |
The three archives divide their material differently. The Internet Archive searches every kind at once when none is named; the Library of Congress is one route per kind, so a search naming none is told which one was read; and the BnF search reads works. A media_type one archive has no notion of leaves that archive out, and the answer says so.
In return: rows in the shape a hit carries, with per_source giving one report per archive: its status, the count it contributed, its reported_total and reported_total_means, which says what that number counts there.
get_itemReads one record in a single shape, whichever archive holds it.
| Argument | Type | Required | What it does |
|---|---|---|---|
identifier | string, 1 to 500 characters | yes | The id a row carries. |
sections | array of description, subjects, copies, context, default ["description"] | no | Which parts to return. |
max_copies | integer, 1 to 50, default 10 | no | Copies to list. |
text_offset | integer, 0 to 1000000, default 0 | no | Where to resume the text. |
max_text_chars | integer, 200 to 8000, default 1500 | no | How much text to serve. |
In return: the record with its id, source and source_name, the archive's own identifier, title, creator, date exactly as published, and year beside year_means, which says what that year is the year of, since the three archives date a record differently. attribution is what that archive asks to be credited with, and identifier_provisional says when the identifier was built rather than read, so a caller knows it may not resolve.
Every answer accounts for each archive separately. One that failed, one nobody asked, and one that answered with nothing are three different things, and they are reported as three. A total stays beside the archive that published it, with what that archive counts when it says it: one counts documents, another counts newspaper leaves.
The words inside a scanned document came off the page through optical character recognition. An excerpt carries the misreadings of that process, and it is served as it was read rather than corrected. Quote it as scanned text,
Only the beginning is shown; read the rest in the repo