# ArturLys/ao3-mcp [Health: Active]
**Category:** 🎨 Art & Culture
**Repository:** https://github.com/ArturLys/ao3-mcp
**GitHub Stars:** 1
**Views:** 1
**Installs:** 0
**Upvotes:** 0
**Directory Page:** https://allmcps.com/mcp/arturlys-ao3-mcp
## Description
Search the Archive of Our Own (AO3) and delegate full-fic reading to a secondary model (Gemini), so the agent recommends from the actual text, not the author's blurb. pip install ao3-mcp
## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `pip` (confidence: high):
```json
"mcpServers": {
"ao3-mcp": {
"command": "pip",
"args": ["install","ao3-mcp"]
}
}
```
## Documentation & README
# ao3-mcp
[](https://pypi.org/project/ao3-mcp/)
[](https://github.com/ArturLys/ao3-mcp/actions/workflows/ci.yml)
[](https://glama.ai/mcp/servers/ArturLys/ao3-mcp)
An [MCP](https://modelcontextprotocol.io/) (Model Context Protocol) server that connects AI agents — Claude, Cursor, or any MCP client — to the [Archive of Our Own](https://archiveofourown.org/). Search AO3 fanfiction with full filters, resolve fuzzy wording to canonical tags, and get fics *actually read* before they're recommended.
The trick: your agent never reads fic text. It delegates reading to a cheap secondary model (Gemini), which digests whole fics — even 150k-word novels — and returns structured reports. Your agent's context stays clean; the recommendations are based on the real text, not the blurb.
```
agent ──MCP──> server.py
├─ ao3.py AO3 scraping (no public API exists) — throttled and polite
└─ reader.py Gemini reads the fics, reports back: plot, style,
prose samples, content notes, a ranking
```
## Why this beats blurb-based recommendations
An AO3 blurb is an ad written by the author. This server's workflow is: search wide (40–60 results), have the reader model read the shortlist — up to 20 full fics in one call — and recommend only what was actually read, with verbatim prose samples so quality is judged from the text itself.
## Not just for finding your next read
If you write with an AI — fanfic, original fiction, roleplay — this doubles as an inspiration engine. Mid-scene, your agent can pull up how real fic authors handle the exact beat you're on:
```
Find three highly-kudosed fics where rivals are forced to share a bed, read them,
and tell me how each one builds the tension — pacing, POV, what they leave unsaid.
```
The reader reports back with structure, style notes, and verbatim prose samples, so the model gets grounded in how the trope is actually written — not what it imagines fanfic sounds like. Works the same for roleplay: pull reports on fics that nail a character's voice and feed them in as style reference.
## Install
Requires **Python 3.10+** and a free **Gemini API key**:
> Go to [aistudio.google.com/api-keys](https://aistudio.google.com/api-keys), sign in with any Google account, and click **"Create API key"**. The free tier is enough — no billing setup needed.
```bash
pip install ao3-mcp
```
## Add to your agent
Point `command` at `ao3-mcp` and pass your key with `--api-key`:
```json
{
"mcpServers": {
"ao3": {
"command": "ao3-mcp",
"args": ["--api-key", "YOUR_GEMINI_KEY"]
}
}
}
```
Prefer to keep the key out of the args list? Drop `--api-key` and pass it in an `env`
block instead — the server reads `GEMINI_API_KEY` from the environment as a fallback:
```json
"env": { "GEMINI_API_KEY": "YOUR_GEMINI_KEY" }
```
Claude Code
```bash
claude mcp add ao3 -- ao3-mcp --api-key YOUR_GEMINI_KEY
```
Cursor
`Cursor Settings` → `MCP` → `New MCP Server`, paste the JSON config above.
Google Antigravity
Add the JSON config above to `.gemini/antigravity/mcp_config.json`.
VS Code / Copilot
```bash
code --add-mcp '{"name":"ao3","command":"ao3-mcp","args":["--api-key","YOUR_GEMINI_KEY"]}'
```
Then just ask:
```
Find me a completed enemies-to-lovers longfic in , read the top candidates, and tell me which is best written.
```
### Launch params
| Param | Env var | Default | What it does |
| ----------------- | --------------------- | -------------------- | --------------------------------------------- |
| `--api-key` | `GEMINI_API_KEY` | — | Gemini API key (required). |
| `--model` | `GEMINI_MODEL` | `gemini-flash-latest`| Model the reader uses. |
| `--backup-model` | `GEMINI_MODEL_BACKUP` | `gemini-flash-lite-latest` | Fallback model when the main one is throttled. |
| `--min-interval` | `AO3_MIN_INTERVAL` | `0.6` | Minimum seconds between AO3 requests. |
## Tools
| Tool | What it does |
| -------------- | ---------------------------------------------------------------------------- |
| `search_works` | Search AO3: fandom, ship, character, tags, rating, word count, completion, sorting. 20 results/page, up to 5 pages per call. The `query` field supports AO3's full search-operator syntax (`words>10000`, `kudos>500`, `sort:kudos`, …). |
| `find_tags` | Live autocomplete — fuzzy wording → canonical AO3 tag, fandom, ship, or character names. |
| `get_work` | Full metadata card for one work: tags, stats, summary, series info. |
| `read_works` | Reads 1–20 full fics with the secondary model and returns a structured report per fic — plot, characters, style, verbatim prose samples, content notes — plus a comparison ranking them against your question. |
Fic downloads are cached locally for 24h, so re-reading a fic with a new question costs no AO3 requests.
## Good to know
- **AO3 has no API** — this scrapes its (clean) HTML, one request at a time, throttled to one every **0.6s** by default (tune with `--min-interval`) and honoring `Retry-After`. AO3 is volunteer-run; the politeness is deliberate.
- **Cloudflare:** AO3 blocks plain HTTP clients. This uses `curl_cffi` with a mobile-Safari TLS fingerprint, which passes as of writing. If requests start failing with 403 + `cf-mitigated: challenge`, change `IMPERSONATE` in `ao3.py`.
- **Privacy:** fic text goes to Google's Gemini API for reading; nothing else leaves your machine, no telemetry.
- **Adult content:** AO3 hosts works across all ratings. The server passes through whatever your search scopes — use the `rating` filter and AO3's warning tags to control what gets fetched.
## Make it yours
It's a small, single-purpose server — a few hundred readable lines with no framework magic. Fork it and edit anything: rewrite the reader's prompt, swap in a different model, change the throttle, add a tool. That's the intended way to use it.
Run it from source:
```bash
git clone https://github.com/ArturLys/ao3-mcp.git
cd ao3-mcp
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -r requirements.txt
python smoke_test.py YOUR_GEMINI_KEY # end-to-end check: search → download → digest
python server.py --api-key YOUR_GEMINI_KEY # or point your client's command at this
```
## Credits
- AO3 access approach builds on [ao3_api](https://github.com/wendytg/ao3_api) by wendytg.
- All fanworks belong to their authors on the [Archive of Our Own](https://archiveofourown.org/), a project of the [Organization for Transformative Works](https://www.transformativeworks.org/).
## License
MIT