Goodreads MCP
PYPI · GOODREADS-MCP-AI
Read-only MCP server for Goodreads (no API required): search, books, shelves, ratings
Available components
Last scanned (12 hours ago)
Scores higher than 72% of PyPI servers
Category Entertainment and Games
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 0 of 28 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to Danathar/goodreads-mcp). View diagnostics → Pass
- Clear OSI-approved license (GPL-3.0-only).Pass
- Actively maintained (last published 12 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability68
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1749 tokens (~145/item across 12 items; 12 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management90
- Stability observed for 27 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 12 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 13 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 22 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 20 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.
- 16 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.
- 12 Oct 26 +21
- Malware scan: pass → unverified ▼ security
- Injection markers: unverified → pass ▲ security
- Tool coverage: unverified → 100 ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Stability: unverified → 0.53 ▲ functional
- Package version: 2026.9.3 → 2026.10.0 functional
- 6 Oct 26 −32
- Tool safety: pass → unverified ▼ security
- Stability: 0.27 → unverified ▼ security
- Tool coverage: 100 → unverified ▼ functional
- Capabilities: pass → unverified ▼ functional
- First check of Schema quality: unverified functional
- 3 Oct 26 +16
- Malware scan: unverified → pass ▲ security
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 23 Oct 2026 · Analysed pypi/goodreads-mcp-ai@2026.10.0
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | Danathar/goodreads-mcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/Danathar/goodreads-mcp/.github/workflows/release.yml@refs/heads/main |
| Rekor log index | 3185353798 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:3175a56058f4bfddf3a74c2820c24aa06beaa3543ba99b0d162393b41a4f72e0 |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 28 packages
| Packages resolved | 28 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
author_books ~80
List an author's works (bibliography), given any of their books. Resolves the book's primary author, then returns their works ranked by popularity. Each result has book_id/title/author/rating/url. Results paginate in batches and limit is capped at 100.
| Name | Type | Req | Description |
|---|---|---|---|
| book_id | string | yes | – |
| limit | integer | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
book_lists ~101
List the Listopia lists a book appears on (e.g. "Best Dystopian Fiction"), ordered by popularity. Each list has its title, total member votes, how many books it contains, and a 'url'. Good for "what kind of book is this / what's it grouped with" and for discovery. Results paginate in batches and limit is capped at 100.
| Name | Type | Req | Description |
|---|---|---|---|
| book_id | string | yes | – |
| limit | integer | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
compare_books ~125
Compare several books side by side by rating and rating distribution. Fetches each book and returns them ranked best-to-worst by average rating, with the ratings_histogram plus 'pct_positive' (share of 4-5 star) and 'pct_critical' (share of 1-2 star) so you can judge not just the average but how divisive each book is. Pass 2-10 book ids (from search_books etc.); more than 10 is refused rather than silently trimmed, so split the call.
| Name | Type | Req | Description |
|---|---|---|---|
| book_ids | array | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_book ~173
Get full details for a book by its Goodreads id (numeric, or numeric-slug like '11870085-the-fault-in-our-stars' or '2767052.The_Hunger_Games'). An ISBN is not a book id: find the book with search_books first. Parses the page's embedded __NEXT_DATA__ JSON (Apollo state) rather than scraping the DOM, which survives markup changes. Includes the full ratings histogram, all series memberships, and review-language breakdown — use get_reviews for the actual review text. review_language_limit controls how many languages are returned (default 5, maximum 25). When you cite details or ratings from this book, link to its 'url'.
| Name | Type | Req | Description |
|---|---|---|---|
| book_id | string | yes | – |
| review_language_limit | integer | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_editions ~66
List published editions of a book (formats, ISBNs, publishers, dates). Useful for "which edition / format / ISBN" questions. Results paginate in batches and limit is capped at 100.
| Name | Type | Req | Description |
|---|---|---|---|
| book_id | string | yes | – |
| limit | integer | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_reviews ~256
Get reader reviews for a book — the actual review text, not just a score. Fetches from Goodreads' GraphQL backend with true pagination, so limit can exceed the ~30 shown on a page. Reviews come in "most relevant" order and aggregate across all editions of the work. Each review has the reviewer name, star rating (1-5), full text, like/comment counts, date, a spoiler flag, a 'url' permalink (use it to cite/link), and the reviewer's profile url. limit: max reviews to return (capped at 100 to stay polite). min_rating / max_rating: server-side star filters, each 1-5, e.g. min_rating=4 for positive reviews, max_rating=2 for the critical ones. exclude_spoilers: drop reviews flagged as spoilers. Paging is capped, so a book whose reviews are mostly spoilers can return fewer than limit. 'has_more' is true when Goodreads has reviews this call did not read.
| Name | Type | Req | Description |
|---|---|---|---|
| book_id | string | yes | – |
| exclude_spoilers | boolean | – | – |
| limit | integer | – | – |
| max_rating | – | – | – |
| min_rating | – | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_shelf ~153
List books on a shelf via its RSS feed (public shelves; no auth). Common shelves: 'read', 'currently-reading', 'to-read', plus any custom shelf name. Names are case-sensitive and must match a shelf the user has (list_shelves gives them); any other name raises ValueError. An empty name lists every shelf. RSS pages hold ~100 items; pass page=2,3,... for more (pages start at 1). Defaults to the configured GOODREADS_USER_ID. When you cite a book from a shelf, link it to its 'link' field.
| Name | Type | Req | Description |
|---|---|---|---|
| page | integer | – | – |
| shelf | string | – | – |
| user_id | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
list_shelves ~88
List a user's shelf names (scraped from their public profile page; best effort). Defaults to the configured user. Covers the exclusive shelves (read, to-read, ...) and custom shelves; every name works as get_shelf's 'shelf' argument. Raises LoginRequired for a private profile. The profile page may cap a very long shelf list.
| Name | Type | Req | Description |
|---|---|---|---|
| user_id | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
popular_books ~185
Most popular books by release date — Goodreads' "Popular by date" chart. Ranks the books/works released in a given year (or a specific month of a year) by how many Goodreads members have added them. Mirrors the goodreads.com/book/popular_by_date/<year>[/<month>] page. A year or month Goodreads has no chart for raises an error rather than returning no books. year: 4-digit release year. month: optional 1-12 for a single month; omit for the whole year. limit: how many to return (capped at 50). Each entry has rank, count (members who added it), and the usual book_id/title/author/rating/url so you can chain into get_book/get_reviews.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| month | – | – | – |
| year | integer | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
search_books ~99
Search Goodreads for books by title/author/ISBN. Uses the JSON autocomplete endpoint (no auth, no HTML parsing). Returns book_id, title, author, rating info, and a cover URL. max_results: how many to return. The autocomplete endpoint itself answers with at most ~5 matches, so a larger value returns what Goodreads sent, not more.
| Name | Type | Req | Description |
|---|---|---|---|
| max_results | integer | – | – |
| query | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
series_books ~139
List the books in a series (with reading-order placement), given any book in that series. When a book belongs to multiple series, pass the zero-based series_index from get_book's series_memberships order. Each entry has the series 'placement' (e.g. '1', '0.5' for a prequel), 'is_primary' (a main-sequence entry vs companion), and the usual book_id/title/author/rating/url. Results paginate in batches and limit is capped at 100.
| Name | Type | Req | Description |
|---|---|---|---|
| book_id | string | yes | – |
| limit | integer | – | – |
| series_index | integer | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
similar_books ~86
"Readers also enjoyed" — books similar to the given one. Goodreads' own recommendation graph (hard to reproduce with web search). Each result has book_id/title/author/rating/url so you can chain into get_book or get_reviews. Results paginate in batches and limit is capped at 100.
| Name | Type | Req | Description |
|---|---|---|---|
| book_id | string | yes | – |
| limit | integer | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
How do I install the Goodreads MCP server?
Goodreads MCP runs locally as a PyPI package, launched with uvx goodreads-mcp-ai. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · goodreads-mcp-ai
claude mcp add danathar-goodreads-mcp-ai -- uvx goodreads-mcp-ai
What is the Goodreads MCP server?
Goodreads MCP is listed in the public MCP registry as io.github.Danathar/goodreads-mcp-ai. Read-only MCP server for Goodreads (no API required): search, books, shelves, ratings. This page covers its PyPI package (goodreads-mcp-ai).
Is the Goodreads MCP server safe to use?
Goodreads MCP scores 75 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 23 October 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Goodreads MCP server expose?
Goodreads MCP exposes 12 tools: search_books, get_book, get_reviews, similar_books, author_books, and 7 more. Their descriptions and schemas cost roughly 1,551 tokens of context every time the server is loaded.
Is the Goodreads MCP server still maintained?
Goodreads MCP is still listed as active in the MCP registry. We last reached this channel on 23 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Goodreads MCP server under?
Goodreads MCP declares the GPL-3.0-only licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.