fulltext-article-downloader is a Python package for programmatically downloading the full text of research articles from their DOIs. It chains together publisher APIs, open‑access aggregators, and polite web scraping in a fallback sequence so you can collect large corpora of PDFs or XML for text mining and analysis.
- ✓Open-source license (BSD-3-Clause)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Mature repo (>1y old)
- ✓Documented (README)
claude mcp add fulltext-article-downloader -- uvx --from{
"mcpServers": {
"fulltext-article-downloader": {
"command": "uvx",
"args": ["--from"]
}
}
}MCP Servers overview
# fulltext-article-downloader
<!-- mcp-name: io.github.computron/fulltext-article-downloader -->
**fulltext-article-downloader** is a Python package for **programmatically downloading the full text of research articles** from a DOI, arXiv id, PubMed Central id or OpenReview id. It chains together publisher APIs, open-access indexes and repositories in a fallback sequence, checks that what came back is really the requested article, and can be used from Python, from the command line, or by an AI agent through an MCP server or a Claude Code skill.
**Video tutorial**: https://youtu.be/fTtc4QWMYzE
---
## Features
* **Multiple retrieval methods** – Elsevier, Wiley and Springer Nature APIs, CrossRef TDM links, Unpaywall, Europe PMC, OSTI (accepted manuscripts of DOE-funded articles), Semantic Scholar's open-access index, arXiv, ChemRxiv, bioRxiv/medRxiv, Zenodo, MDPI's CDN, and direct scraping for publishers that lack easy APIs (PLOS, eLife, Cambridge, APS).
* **Automatic fallback logic** – The package selects the best method based on the DOI's publisher; if one fails, the next is tried automatically.
* **Verification** – Every PDF is checked against the article's title, and supporting-information files and abstract-only records are rejected, so a returned file is the paper you asked for.
* **Honest results** – Each download reports which route produced the file and carries a note when it is a preprint or accepted manuscript rather than the publisher's version of record.
* **Configurable tool order** – Per-publisher method sequences are configurable; defaults cover most major publishers and preprint servers.
* **Batch downloads** – Concurrent downloads with publisher rate limits enforced, a `tqdm` progress bar, and file logs that record which tool succeeded or why an identifier failed.
* **Easy API-key management** – Store credentials via environment variables or the interactive `fulltext-config` script.
* **Four entry points, one engine** – Python API, `fulltext-download` CLI, `fulltext-mcp` server for any MCP client, and a Claude Code plugin with a ready-made skill.
---
## 1. Installation
```bash
pip install fulltext-article-downloader
```
Optional extras enable additional routes and the MCP server:
| Extra | Adds |
| --- | --- |
| `mcp` | the `fulltext-mcp` server (fastmcp) |
| `tls` | a Chrome TLS fingerprint fallback for hosts that reject plain HTTPS clients (curl-cffi) |
| `springer` | the Springer Nature open-access XML route (sprynger) |
| `preprints` | bioRxiv/medRxiv downloads through paperscraper |
| `aps` | the APS route that reuses your browser's login cookies (browser-cookie3) |
| `all` | everything above |
`tls` and `aps` both work by making a request look more like your own browser than a script: `tls` matches Chrome's TLS fingerprint for hosts that turn away plain HTTPS clients, and `aps` reuses the APS session cookie you are already signed in with. Neither opens anything you are not licensed for, but both go a step beyond a plain API client, so they are worth checking against your institution's agreements before you enable them. A default install has neither; `all` includes them.
```bash
pip install "fulltext-article-downloader[mcp,tls]"
```
For development, clone the repository and run `pip install -e ".[dev,all]"`. Make sure to **configure** your installation afterwards (see next section).
## 2. Configuration (API keys & email)
All credentials are optional; each one unlocks a route. Without keys, and off campus, expect open-access papers, preprints and DOE-funded manuscripts to work and most paywalled articles to fail.
| Service | Environment variable | Where to get the key |
| --- | --- | --- |
| Unpaywall and Crossref contact email (your own address) | `UNPAYWALL_EMAIL` | (enter your email address) |
| Elsevier API | `ELSEVIER_API_KEY` | https://dev.elsevier.com |
| Wiley TDM API | `WILEY_API_KEY` | https://onlinelibrary.wiley.com/library-info/resources/text-and-datamining |
| Springer Open Access API | `SPRINGER_API_KEY` | https://dev.springernature.com |
| Semantic Scholar (optional; raises the rate limit and enables the title search that finds arXiv copies of papers whose DOI record has no PDF) | `SEMANTIC_SCHOLAR_API_KEY` | https://www.semanticscholar.org/product/api (free, approved by email in a few days) |
`UNPAYWALL_EMAIL` is sent only to Unpaywall and Crossref, which ask API users for a contact address; Crossref serves requests that carry one from its faster "polite" pool. Keys and the email stay on your machine.
Set these environment variables **or** run the interactive helper:
```bash
fulltext-config
```
The script stores keys in `~/.fulltext_keys`, which are loaded automatically on import. If a required key is missing, the corresponding tool is skipped and the downloader falls back to other methods. Publisher keys return paywalled content only when the key or the network is entitled; the package detects truncated or abstract-only responses and moves on.
---
## 3. Usage
### Identifiers
Any of these forms is accepted everywhere an identifier is expected:
* DOI: `10.1021/jacs.3c13302`, `https://doi.org/10.1021/jacs.3c13302`, `doi:10.1021/jacs.3c13302`
* arXiv: `2310.19377`, `arXiv:2310.19377`, `https://arxiv.org/abs/2310.19377`, `cond-mat/9712061`, `10.48550/arXiv.2310.19377`
* PubMed Central: `PMC6561843`
* OpenReview: `fNyXCCZ0g6`
### Command-line interface (CLI)
```text
fulltext-download <ID> [<ID> ...] [-o DIR] [--tools a,b,c] [--workers N] [--no-check] [--log-file FILE]
```
```bash
fulltext-download 10.1371/journal.pone.0171501 -o papers
fulltext-download 10.1021/jacs.3c13302 arXiv:1710.10324 PMC6561843 -o papers --workers 4
```
The command prints one JSON object per identifier and exits 0 only when every download succeeded:
```json
[
{
"identifier": "10.1021/jacs.3c13302",
"success": true,
"path": "papers/10.1021_jacs.3c13302.pdf",
"source": "osti",
"note": "OSTI accepted manuscript, not the publisher's version of record",
"error": null,
"attempts": [],
"supplements": []
}
]
```
The original form `fulltext-download <DOI> <OUTPUT_DIR> [<FILENAME>]` still works.
### Python API
`fetch` returns the same structure the CLI prints; `fetch_many` downloads a list concurrently:
```python
from fulltext_article_downloader import fetch, fetch_many
r = fetch("10.1371/journal.pone.0171501", "papers")
if r["success"]:
print(r["path"], r["source"], r["note"])
else:
print(r["error"]) # every route tried, with its reason
rs = fetch_many(["10.1002/advs.201900808", "10.48550/arXiv.2207.03928"], "papers", workers=4)
```
The earlier functions are unchanged: `download_article(doi, output_dir, ...)` returns the path or raises, and `bulk_download_articles(dois, output_dir, log_file=..., sleep=..., workers=...)` returns a dict of paths or `"ERROR: ..."` strings with a progress bar.
Options shared by all of them: `output_filename` (single download), `tools` (a list of route names that overrides the publisher default), `log_file` (append a download log), and for `fetch` also `check=False` to skip verification and `skip_existing=False` to re-download a file that is already present.
### Supplementary files
`fetch(..., supplements=True)`, `fetch_many(..., supplements=True)`, `fulltext-download --supplements` and the MCP tools' `supplements=true` also fetch the article's supplementary files (supporting information, data tables, videos). They are separate files from separate places, so they are saved next to the article as `<name>_si1.pdf`, `<name>_si2.xlsx`, ... and listed in the result's `supplements`. Sources: the ChemRxiv and Elsevier APIs, Europe PMC's supplement bundle for PMC articles, and otherwise the article's landing page (Springer Nature, Wiley, bioRxiv, ACS, RSC, PLOS and others link them there; most publishers serve supplements without a subscription). Off by default because it costs one more request per article; a missing supplement never fails the download.
### MCP server (for agents)
`fulltext-mcp` exposes two tools, `get_paper(identifier, output_dir="", tools=None, supplements=False)` and `get_papers(identifiers, output_dir="", max_workers=4, supplements=False)`, returning the structure shown above. It needs the `mcp` extra and reads the same keys as the CLI. `FULLTEXT_OUTPUT_DIR` sets where files go when a call gives no output directory (default `./papers`).
Claude Code:
```bash
claude mcp add fulltext-article-downloader -- uvx --from "fulltext-article-downloader[mcp]" fulltext-mcp
```
Any other MCP client, in its server configuration:
```json
{
"mcpServers": {
"fulltext-article-downloader": {
"command": "uvx",
"args": ["--from", "fulltext-article-downloader[mcp]", "fulltext-mcp"],
"env": { "UNPAYWALL_EMAIL": "you@example.org", "FULLTEXT_OUTPUT_DIR": "/abs/path/papers" }
}
}
}
```
`uvx` fetches the package from PyPI into an isolated environment on first use, so nothing needs to be installed beforehand. The server is also listed in the official MCP registry as `io.github.computron/fulltext-article-downloader`.
### Claude Code plugin and skill
This repository is also a Claude Code plugin. It installs a skill that teaches Claude when and how to use `fulltext-download`, plus the MCP server above:
```text
/plugin marketplace add computron/fulltext-article-downloader
/plugin install fulltext-article-downloader@fulltext-article-downloader
```
The skill alone (no MCP) is enough inside Claude Code: it runs the CLI and reads the JSON. The MCP server is for clients that cannot run shell commands, and for other agent frameworks.
---
## 4. Failures and tools
### Failure examples
Many articles are not open-access, and publishers explicitly restrict or discourage text and data mining. This example is expected to FAIL:
```bash
fulltext-download 10.1109/GROUP4.2007.4347715 -o papers
```
The `error` field lists every route tried and why it failed. A failure almost always means the article is What people ask about fulltext-article-downloader
What is computron/fulltext-article-downloader?
+
computron/fulltext-article-downloader is mcp servers for the Claude AI ecosystem. fulltext-article-downloader is a Python package for programmatically downloading the full text of research articles from their DOIs. It chains together publisher APIs, open‑access aggregators, and polite web scraping in a fallback sequence so you can collect large corpora of PDFs or XML for text mining and analysis. It has 21 GitHub stars and its last recorded update is dated 2026-09-15.
How do I install fulltext-article-downloader?
+
You can install fulltext-article-downloader by cloning the repository (https://github.com/computron/fulltext-article-downloader) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is computron/fulltext-article-downloader safe to use?
+
Our security agent has analyzed computron/fulltext-article-downloader and assigned a Trust Score of 92/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains computron/fulltext-article-downloader?
+
computron/fulltext-article-downloader is maintained by computron. The last recorded GitHub activity is dated 2026-09-15, with 0 open issues.
Are there alternatives to fulltext-article-downloader?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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