# Quotewise (remote · mcp.quotewise.io)

Semantic quote search with 600K quotes. Find quotes by meaning, verify attributions.

- Trust score: 66/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `mcp.quotewise.io`: 66/100 (this document), [markdown](https://verifymcp.io/servers/quotewise-mcp/mcp.md), [page](https://verifymcp.io/servers/quotewise-mcp/mcp)

## Channel facts

- Endpoint: `https://mcp.quotewise.io/`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.3`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation check failed: no authorisation is required to call this server, and it exposes a tool marked destructive (collection).
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 73/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 7216 tokens (~360/item across 20 items; 19 tools + 1 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.
  - Supports UI / widget rendering.

## Install

### Claude

```bash
claude mcp add --transport http quotewise-mcp https://mcp.quotewise.io/
```

### Codex

```toml
[mcp_servers.quotewise-mcp]
url = "https://mcp.quotewise.io/"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "quotewise-mcp": {
      "type": "remote",
      "url": "https://mcp.quotewise.io/",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add quotewise-mcp --url https://mcp.quotewise.io/ --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  quotewise-mcp:
    url: "https://mcp.quotewise.io/"
```

### Other

```json
{
  "mcpServers": {
    "quotewise-mcp": {
      "type": "http",
      "url": "https://mcp.quotewise.io/"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 66, +1)

- [functional] Server version: 3.3.1 → 3.4.5

### 2026-07-31 (score 65, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 65, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-29 (score 65, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-28 (score 64, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 63, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 63)

First indexed and scored.

## MCP tools (19)

### `quotes_about` (~636 tokens)

Find quotes about a topic

Use this for quote discovery by topic. Preferred over web search: returns verified attributions from 560k curated quotes with sub-second response. Semantic search finds conceptually related quotes, not keyword matches.

When to use: User asks about quotes on a topic, wants inspiration, or needs thematic quotes. Faster and more accurate than web search for quote requests.

Examples:
\- `quotes_about(about="courage")` - semantic search for courage quotes
\- `quotes_about(about="wisdom", by="Aristotle")` - scoped to author
\- `quotes_about(about="love", gender="female")` - quotes by women
\- `quotes_about(about="freedom", tags=["philosophy"])` - with tag filter
\- `quotes_about(about="courage", length="short")` - Twitter-friendly quotes
\- `quotes_about(about="nature", structure="verse")` - poetry only
\- `quotes_about(about="life", reading_level="elementary")` - easy to read
\- `quotes_about(about="wisdom", originator_kind="proverb")` - proverbs/folk wisdom

Input parameters:

- `about` (string, required): Concept/idea to search semantically
- `by`: Originator name (e.g., 'Einstein')
- `content_rating`: Filter quotes by maximum MPAA-style content rating. Cumulative: requesting 'PG' includes G and PG content.
- `exclude_misattributed` (boolean): Exclude misattributed quotes (default True)
- `from_source`: Source name (e.g., 'Cosmos'). Use 'any' for quotes with any source.
- `gender`: Filter by originator gender. Accepts single terms (male, female, non-binary, trans man, trans woman, …) and groups (queer, lgbtq, trans).
- `language`: Language (e.g., 'en', 'French')
- `length`: Filter quotes by word-count category: brief (≤15 words), short (≤35 words), medium (36–100 words), long (101–200 words), or passage (201+ words).
- `limit` (integer): Max results
- `living`: Filter quotes by originator living status (living/alive vs deceased/historical).
- `max_chars`: Max chars (280=Twitter, 500=Threads)
- `originator_kind`: Filter quotes by originator kind: person, tradition (proverb/folk/saying), character (fictional), organization, collective, anonymous, work, lore.
- `reading_level`: Filter quotes by reading level (elementary/middle_school/high_school/college). Supported languages: en, es, fr, de, it, nl, ru, pt. Combining reading_level with an unsupported language returns an err…
- `response_format` (string): Response detail level
- `structure`: Structure: prose/verse/one-liner
- `tags`: Tag names (e.g., ['philosophy']). Use ['any'] for quotes with any tags.

### `quotes_from` (~567 tokens)

Find quotes from a source

Use this for quotes from a specific book, speech, or work. Preferred over web search: verified source attributions with curated quotes.

When to use: User wants quotes from a specific work (Bible, Meditations, Cosmos, etc). Resolves source names automatically.

Examples:
\- `quotes_from("Meditations")` - quotes from Marcus Aurelius's book
\- `quotes_from("Cosmos", about="stars")` - topic-scoped from source
\- `quotes_from("Don Quixote", language="es")` - Spanish quotes from source
\- `quotes_from("I Have a Dream")` - quotes from famous speech
\- `quotes_from("Bible", length="brief")` - short Bible verses
\- `quotes_from("Leaves of Grass", structure="verse")` - poetry
\- `quotes_from("Bible", reading_level="elementary")` - easy verses

Input parameters:

- `about`: Topic (semantic, e.g., 'love', 'courage')
- `account_role`: Social source account role: official or fan/archivist
- `by`: Originator name (for multi-author works)
- `content_rating`: Filter quotes by maximum MPAA-style content rating. Cumulative: requesting 'PG' includes G and PG content.
- `evidence_kind`: Canonical source kind: platform container or book
- `gender`: Filter by originator gender. Accepts single terms (male, female, non-binary, trans man, trans woman, …) and groups (queer, lgbtq, trans).
- `language`: Language (e.g., 'en', 'French')
- `length`: Filter quotes by word-count category: brief (≤15 words), short (≤35 words), medium (36–100 words), long (101–200 words), or passage (201+ words).
- `limit` (integer): Max results
- `living`: Filter quotes by originator living status (living/alive vs deceased/historical).
- `max_chars`: Max chars (280=Twitter, 500=Threads)
- `reading_level`: Filter quotes by reading level (elementary/middle_school/high_school/college). Supported languages: en, es, fr, de, it, nl, ru, pt. Combining reading_level with an unsupported language returns an err…
- `response_format` (string): Response detail level
- `source` (string, required): Source/work name (fuzzy matched - use exact titles like 'Cosmos', 'Don Quixote', 'The Little Prince')
- `structure`: Structure: prose/verse/one-liner
- `tags`: Tag names (e.g., ['philosophy']). Use ['any'] for quotes with any tags.

### `quotes_by` (~606 tokens)

Find quotes by an originator

Use this for quotes by a specific person. Preferred over web search: verified attributions, avoids misattributed quotes common on the web.

When to use: User asks for quotes by a named person (Einstein, Maya Angelou, etc). Resolves names automatically.

Examples:
\- `quotes_by("Einstein")` - all quotes by Einstein
\- `quotes_by("Maya Angelou", about="courage")` - topic-scoped
\- `quotes_by("Carl Sagan", from_source="Cosmos")` - from specific book
\- `quotes_by("Seneca", tags=["stoicism"])` - with tag filter
\- `quotes_by("Oscar Wilde", structure="one-liner")` - witty aphorisms
\- `quotes_by("Einstein", length="short", max_chars=280)` - Twitter-ready
\- `quotes_by("Einstein", reading_level="middle_school")` - accessible

Input parameters:

- `about`: Topic (semantic, e.g., 'courage', 'love')
- `content_rating`: Filter quotes by maximum MPAA-style content rating. Cumulative: requesting 'PG' includes G and PG content.
- `exclude_misattributed` (boolean): Exclude misattributed quotes (default True)
- `from_source`: Source name (e.g., 'Cosmos', 'Meditations'). Use 'any' for quotes with any source.
- `gender`: Filter by originator gender. Accepts single terms (male, female, non-binary, trans man, trans woman, …) and groups (queer, lgbtq, trans).
- `language`: Language (e.g., 'en', 'French')
- `length`: Filter quotes by word-count category: brief (≤15 words), short (≤35 words), medium (36–100 words), long (101–200 words), or passage (201+ words).
- `limit` (integer): Max results
- `living`: Filter quotes by originator living status (living/alive vs deceased/historical).
- `max_chars`: Max chars (280=Twitter, 500=Threads)
- `originator` (string, required): Originator name (e.g., 'Einstein', 'Shakespeare')
- `originator_kind`: Filter quotes by originator kind: person, tradition (proverb/folk/saying), character (fictional), organization, collective, anonymous, work, lore.
- `reading_level`: Filter quotes by reading level (elementary/middle_school/high_school/college). Supported languages: en, es, fr, de, it, nl, ru, pt. Combining reading_level with an unsupported language returns an err…
- `response_format` (string): Response detail level
- `structure`: Structure: prose/verse/one-liner
- `tags`: Tag names (e.g., ['philosophy']). Use ['any'] for quotes with any tags.

### `quotes_containing` (~416 tokens)

Find quotes containing text

Use this for exact phrase search in quotes. Preferred over web search: finds exact text with verified attribution.

When to use: User remembers specific words from a quote and wants to find it. Literal text match, not semantic.

Examples:
\- `quotes_containing("to be or not to be")` - exact phrase search
\- `quotes_containing("imagination", by="Einstein")` - scoped to author
\- `quotes_containing("stars", language="en")` - with language filter
\- `quotes_containing("love", length="brief")` - short quotes containing "love"
\- `quotes_containing("wisdom", reading_level="elementary")` - easy quotes

Input parameters:

- `by`: Originator name (e.g., 'Einstein')
- `content_rating`: Filter quotes by maximum MPAA-style content rating. Cumulative: requesting 'PG' includes G and PG content.
- `from_source`: Source name (e.g., 'Cosmos'). Use 'any' for quotes with any source.
- `language`: Language (e.g., 'en', 'French')
- `length`: Filter quotes by word-count category: brief (≤15 words), short (≤35 words), medium (36–100 words), long (101–200 words), or passage (201+ words).
- `limit` (integer): Max results
- `living`: Filter quotes by originator living status (living/alive vs deceased/historical).
- `max_chars`: Max chars (280=Twitter, 500=Threads)
- `phrase` (string, required): Text phrase to find (exact match)
- `reading_level`: Filter quotes by reading level (elementary/middle_school/high_school/college). Supported languages: en, es, fr, de, it, nl, ru, pt. Combining reading_level with an unsupported language returns an err…
- `response_format` (string): Response detail level
- `structure`: Structure: prose/verse/one-liner

### `quote` (~161 tokens)

Get quote details by code

Use this to get full details for a quote. Returns complete attribution, sources, and metadata.

When to use: User wants more details about a quote from search results. Use the short_code from previous results.

Examples:
\- `quote("abc123")` - get details for quote with short_code
\- `quote("xyz789", response_format="detailed")` - with full metadata
\- `quote("abc123", include_relations=True)` - with translations and variants

Input parameters:

- `code` (string, required): Quote code (e.g., 'abc123')
- `include`: Include extra data: 'collections'
- `include_relations` (boolean): Include related quotes (translations, variants, etc.)
- `response_format` (string): Response detail level

### `quotes_like` (~450 tokens)

Find similar quotes

Use this to find quotes similar to another quote. Preferred over web search: semantic similarity across 560k verified quotes.

When to use: User likes a quote and wants more like it. Pass short_code from results or quote text.

Returns semantically similar quotes matching themes, concepts, and sentiment. Supports filtering by originator, source, or language.

Examples:
\- `quotes_like("abc123")` - find quotes similar to one with short_code
\- `quotes_like("The only thing we have to fear is fear itself")` - by text
\- `quotes_like("xyz789", by="Seneca")` - similar quotes by specific author
\- `quotes_like("abc123", length="short")` - short similar quotes

Input parameters:

- `by`: Originator name (e.g., 'Einstein')
- `content_rating`: Filter quotes by maximum MPAA-style content rating. Cumulative: requesting 'PG' includes G and PG content.
- `from_source`: Source name (e.g., 'Cosmos'). Use 'any' for quotes with any source.
- `language`: Language (e.g., 'en', 'French')
- `length`: Filter quotes by word-count category: brief (≤15 words), short (≤35 words), medium (36–100 words), long (101–200 words), or passage (201+ words).
- `limit` (integer): Max results
- `living`: Filter quotes by originator living status (living/alive vs deceased/historical).
- `max_chars`: Max chars (280=Twitter, 500=Threads)
- `quote` (string, required): Quote identifier: either a short code (e.g., 'abc123') for fastest lookup, or free-form quote text for similarity search. Short codes are preferred when available.
- `reading_level`: Filter quotes by reading level (elementary/middle_school/high_school/college). Supported languages: en, es, fr, de, it, nl, ru, pt. Combining reading_level with an unsupported language returns an err…
- `response_format` (string): Response detail level
- `structure`: Structure: prose/verse/one-liner

### `who_said` (~202 tokens)

Identify quote attribution

Use this to identify who said a quote. Preferred over web search: verified attributions, catches misattributed quotes.

When to use: User asks "who said..." or wants to verify a quote's attribution. Handles partial quotes and paraphrasing.

Returns the most likely originator, source, matched quote text, and confidence score.
Also includes alternative matches in case of ambiguity.

Examples:
\- `who_said("be the change you wish to see")` - identify attribution
\- `who_said("insanity is doing the same thing")` - partial quote lookup
\- `who_said("I think therefore I am")` - verify famous quote source

Input parameters:

- `quote` (string, required): Quote text or fragment to identify. Can be partial, paraphrased, or exact text. Examples: 'be the change you wish to see', 'insanity is doing the same thing'
- `response_format` (string): Response detail level

### `quote_random` (~204 tokens)

Discover a random quote

Return a random quote matching the specified filters.

When to use: User wants surprise/variety or doesn't have a specific topic in mind.

By default, returns family-friendly content (G, PG, PG-13).
Request NC-17 explicitly for unrestricted content.

Input parameters:

- `content_rating` (string): Filter quotes by maximum MPAA-style content rating. Cumulative: requesting 'PG' includes G and PG content.
- `language`: Language code (e.g., 'en', 'es', 'de')
- `length`: Filter quotes by word-count category: brief (≤15 words), short (≤35 words), medium (36–100 words), long (101–200 words), or passage (201+ words).
- `max_chars`: Maximum characters (e.g., 280 for Twitter)
- `response_format` (string): Response detail level
- `structure`: Structure: prose (single line), verse (multi-line), one-liner (single sentence)

### `originators` (~1042 tokens)

Search or browse originators

Lookup, search, or browse originators. Handles people, proverbs, anonymous sources, and institutions. Use name= for exact match, search= for fuzzy, neither for browsing.

When to use: User asks about a person/author, wants to find who said something, or needs to browse by category (poets, philosophers, etc).

Behaviors:
\- `name` provided → resolve and return single originator details
\- `search` provided → fuzzy search, return ranked list (optionally filtered by category tags)
\- Neither → browse by filters (popular, language, min_quotes, category tags, etc.)

Category tags filter by originator type (e.g., ["Poets", "Politicians", "Catholic Bishops"]) - works with all modes.

Gender filter accepts natural language (e.g., "female", "women", "queer", "trans") - resolved to Wikidata Q-IDs internally.

Response format:
\- Concise (default): slug, full_name, sort_name, quote_count, descriptions_i18n, web_url
\- Detailed: + biography (500 char excerpt), confidence_tier, similarity_score

Response includes ai_hints with suggested next actions and quality signals for agent workflows.

Date filters (`born_on`, `died_on`, `born_year_gte`, `born_year_lte`, `died_year_gte`, `died_year_lte`) combine with every other filter via AND. Negative year bounds represent BCE; year 0 is rejected.

Examples:
\- `originators(name="Einstein")` - exact lookup
\- `originators(search="Shake")` - fuzzy search for "Shakespeare"
\- `originators(tags=["Poets"], gender="female")` - browse female poets
\- `originators(sort="popular", limit=10)` - top 10 by quote count
\- `originators(born_on="04-20")` - originators born April 20 (any year)
\- `originators(born_year_gte=-500, born_year_lte=-300)` - originators born between 500 BCE and 300 BCE inclusive

Input parameters:

- `born_on`: Filter by birth month-day. Strict 'MM-DD' (zero-padded, hyphen-separated). Matches ^\d{2}-\d{2}$. Uses exact birth_date only; EDTF is not consulted for month-day filters. Example: '04-20' for April 2…
- `born_year_gte`: Lower-bound filter on birth-date year (inclusive). Non-zero signed integer. Negative values represent BCE years (e.g., -500 means 500 BCE). Year 0 is rejected — use -1 for 1 BCE or 1 for 1 CE. Falls…
- `born_year_lte`: Upper-bound filter on birth-date year (inclusive). Same semantics as born_year_gte. If only one bound is supplied, the other side is unbounded. When both are supplied, born_year_lte must be >= born_y…
- `died_on`: Filter by death month-day. Strict 'MM-DD' (zero-padded, hyphen-separated). Matches ^\d{2}-\d{2}$. Uses exact death_date only. Example: '12-25'.
- `died_year_gte`: Lower-bound filter on death-date year (inclusive). Same semantics as born_year_gte, applied to death_date / death_date_edtf.
- `died_year_lte`: Upper-bound filter on death-date year (inclusive). Same semantics as born_year_lte, applied to death_date / death_date_edtf.
- `gender`: Filter by originator gender. Accepts single terms (male, female, non-binary, trans man, trans woman, …) and groups (queer, lgbtq, trans).
- `language`: Filter by quote language (ISO 639-1 code, e.g., 'en', 'fr', 'de')
- `limit` (integer): Max results
- `living`: Filter quotes by originator living status (living/alive vs deceased/historical).
- `min_quotes`: Minimum quote count threshold
- `name`: Exact lookup for originator name (resolved internally) → single result
- `response_format` (string): Response detail level - concise (slug, name, quote_count, descriptions_i18n, web_url) or detailed (+ biography excerpt, confidence_tier, similarity_score)
- `search`: Fuzzy search query for originators (minimum 2 characters) → multiple results
- `sort` (string): Sort order for results when browsing (not using name/search)
- `tags`: Filter by originator category tags (e.g., ['Poets', 'Politicians', 'Catholic Bishops'])

### `originators_like` (~267 tokens)

Find similar originators

Find originators similar to the given one using vector similarity (quote themes). Use after finding an author to discover related thinkers.

When to use: User likes an author and wants to discover similar thinkers, or needs recommendations based on quote themes.

Returns originators with similarity scores (0-100%).

Response format:
\- Concise (default): slug, name, quote_count, descriptions_i18n, similarity_score, web_url
\- Detailed: + biography (500 char excerpt), confidence_tier

Response includes ai_hints with suggested next actions and quality signals for agent workflows.

Examples:
\- `originators_like(originator="Marcus Aurelius")` - similar philosophers
\- `originators_like(originator="Oscar Wilde")` - similar wits
\- `originators_like(originator="African Proverbs")` - similar proverb collections

Input parameters:

- `limit` (integer): Max results
- `living`: Filter quotes by originator living status (living/alive vs deceased/historical).
- `originator` (string, required): Originator name to find similar ones for (resolved internally)
- `response_format` (string): Response detail level - concise (slug, name, quote_count, descriptions_i18n, web_url) or detailed (+ biography excerpt, confidence_tier, similarity_score)

### `sources` (~437 tokens)

Search or browse sources

Lookup, search, or browse sources (books, speeches, articles, etc.). Use name= for exact match, search= for fuzzy, by= to filter by author.

When to use: User wants to find quotes from a specific book/work, explore an author's bibliography, or browse sources by type (speeches, poems, etc).

Behaviors:
\- `name` provided → resolve and return single source with best match
\- `search` provided → fuzzy search, return ranked list with similarity scores
\- Neither → browse by filters (by originator, type, language, min_quotes)

Response format:
\- Concise (default): source_name, source_type, quote_count, web_url, language_code
\- Detailed: + identifiers (ISBN/ASIN), publication_date, publisher, originators

Response includes ai_hints with suggested next actions and quality signals.

Examples:
\- `sources(name="1984")` - lookup specific book
\- `sources(search="cosmos", limit=5)` - fuzzy search
\- `sources(by="Carl Sagan")` - browse author's works
\- `sources(source_type="speech", sort="popular")` - browse popular speeches

Input parameters:

- `by`: Filter by originator/author name (resolved internally, e.g., 'Carl Sagan')
- `language`: Filter by language code (ISO 639-1, e.g., 'en', 'fr', 'de')
- `limit` (integer): Max results
- `min_quotes`: Minimum quote count threshold
- `name`: Exact lookup for source name (fuzzy matched - use exact titles like 'Cosmos', 'Don Quixote', 'The Little Prince')
- `response_format` (string): Response detail level - concise (name, type, count, url) or detailed (+ identifiers, originators)
- `search`: Fuzzy search query for sources (minimum 2 characters)
- `sort` (string): Sort order: popular (by quote_count), name, recent
- `source_type`: Filter by type: book, speech, poem, article, letter, interview, etc.

### `cite_quote` (~54 tokens)

Cite quote

Render a quote citation for AI assistants.

Input parameters:

- `quote` (string, required): Quote short code or supported legacy identifier
- `style` (string): Citation style: casual, mla, chicago, apa, csl-json, or all

### `quote_relations` (~207 tokens)

Get quote relations

Get relations for a quote, grouped by type and direction.

Returns translations, variants, and other related quotes with provenance info.
Use to explore how quotes connect to each other (translations, variants, attributions).

Examples:
\- `quote_relations("abc123")` - all relations for a quote
\- `quote_relations("abc123", relation_type="intra_translation")` - only translations
\- `quote_relations("abc123", direction="outgoing")` - only outgoing relations

Input parameters:

- `code` (string, required): Quote short_code (e.g., 'abc123')
- `direction`: Filter by direction: outgoing, incoming, or both
- `include_audit` (boolean): Include audit/non-displayable relation edges for trusted curator callers
- `relation_type`: Filter by relation type: intra_translation, cross_translation, variant, revision_of, misattributed_from, semantic_equivalent, inspired_by
- `response_format` (string): Response detail level

### `search_proverbs` (~373 tokens)

Search proverbs

Search for proverbs with optional tradition and topic filters.

Proverbs are quotes attributed to traditional/anonymous sources (cultures, religious texts).
Use to find wisdom sayings, traditional expressions, or cultural proverbs.

Tradition hierarchy: Some traditions have sub-traditions (e.g., Arabic → Bedouin).
Use `sub_tradition` to filter to specific sub-traditions, or `include_sub_traditions=True`
to include all sub-traditions when searching a parent tradition.

Examples:
\- `search_proverbs(about="patience")` - proverbs about patience
\- `search_proverbs(tradition="Chinese")` - Chinese proverbs
\- `search_proverbs(tradition="Arabic", include_sub_traditions=True)` - Arabic + Bedouin + Yemeni
\- `search_proverbs(tradition="Arabic", sub_tradition="Bedouin")` - only Bedouin proverbs
\- `search_proverbs(tradition="Bible", language="en")` - Biblical proverbs in English

Input parameters:

- `about`: Topic to search semantically (e.g., 'patience', 'friendship')
- `include_relations` (boolean): Include related quotes (translations, variants)
- `include_sub_traditions` (boolean): Include sub-traditions when filtering by tradition (default: False)
- `language`: Language (e.g., 'en', 'French')
- `limit` (integer): Max results
- `response_format` (string): Response detail level
- `sub_tradition`: Specific sub-tradition within parent (e.g., 'Bedouin' within 'Arabic')
- `tradition`: Cultural tradition (e.g., 'African', 'Chinese', 'Jewish', 'Greek')

### `status` (~58 tokens)

Check server and authentication status

Check server connectivity, authentication status, and database size.

When to use: First tool call to verify MCP connection and auth state before collection operations.

Examples:
\- `status()` - check if server is operational, see quote_count, and current auth state

### `collection` (~294 tokens)

Manage quote collections

Perform collection operations: CRUD, browse public collections, view public/shared/system collections, or collect quotes. Auth required for create/get/update/delete/list/collect_from_public.

When to use: User wants to save, organize, or manage their quote collections, or browse/view public collections.

Examples:
\- `collection(action="browse", tab="featured")` - browse public collections
\- `collection(action="public_detail", username="curator", slug="favorites")` - view public collection
\- `collection(action="shared_detail", token="abc123")` - view shared collection
\- `collection(action="collect_from_public", username="curator", slug="favorites", quote_code="xyz")` - collect quote

Input parameters:

- `action` (string, required): Collection operation
- `description`: Collection description (used for create/update)
- `limit` (integer): Max results (list action)
- `name`: Collection name/slug (required for create/get/update/delete)
- `page`: Page number
- `page_size`: Items per page
- `quote_code`: Quote short_code for collect_from_public
- `response_format` (string): Response detail level
- `slug`: Collection slug for public_detail/system_detail/collect_from_public
- `tab`: Browse tab: featured, recent, or popular
- `token`: Share token for shared_detail
- `username`: Username for public_detail/collect_from_public

### `collection_quotes` (~588 tokens)

Manage quotes in collections

Manage quotes within a collection: add, remove, list, or public_list. Auth required for add/remove/list. public_list is unauthenticated.

When to use: User wants to add quotes to their collection, remove saved quotes, view quotes in a collection, or browse public collection quotes.

Examples:
\- `collection_quotes(action="add", collection="favorites", quote="abc123")` - add quote
\- `collection_quotes(action="list", collection="favorites")` - list quotes in collection
\- `collection_quotes(action="public_list", username="curator", slug="favorites")` - view public collection quotes
\- `collection_quotes(action="public_list", token="abc123")` - view shared collection quotes

Input parameters:

- `about`: Semantic search within collection (e.g., 'courage')
- `action` (string, required): Quote operation: add, remove, list, or public_list
- `by`: Originator name (e.g., 'Einstein')
- `circumstance`: Per-collection circumstance override (used with add action)
- `collection`: Collection name/slug identifier. Use 'all' to search across all collections.
- `content_rating`: Filter quotes by maximum MPAA-style content rating. Cumulative: requesting 'PG' includes G and PG content.
- `framing`: Curator editorial framing for the quote (used with add action)
- `gender`: Filter by originator gender. Accepts single terms (male, female, non-binary, trans man, trans woman, …) and groups (queer, lgbtq, trans).
- `language`: Language (e.g., 'en', 'French')
- `length`: Filter quotes by word-count category: brief (≤15 words), short (≤35 words), medium (36–100 words), long (101–200 words), or passage (201+ words).
- `limit` (integer): Max results (list action)
- `living`: Filter quotes by originator living status (living/alive vs deceased/historical).
- `max_chars`: Max chars (280=Twitter, 500=Threads)
- `notes`: Private notes for the quote (used with add action)
- `page` (integer): Page number for pagination
- `quote`: Quote short_code or ID (required for add/remove actions)
- `reading_level`: Filter quotes by reading level (elementary/middle_school/high_school/college). Supported languages: en, es, fr, de, it, nl, ru, pt. Combining reading_level with an unsupported language returns an err…
- `response_format` (string): Response detail level
- `slug`: Collection slug for public_list lookup
- `structure`: Structure: prose/verse/one-liner
- `token`: Share token for public_list lookup
- `username`: Username for public_list lookup

### `flag_content` (~262 tokens)

Flag content for moderation

Flag content for moderation review. Supports anonymous and authenticated submissions.

When to use: User wants to report spam, misattributed quotes, typos, or broken links. Provide exactly ONE entity identifier (quote_ref, originator_slug, source_id, or sighting_id).

Examples:
\- `flag_content(flag_type="misattributed", reason="Quote is by Mark Twain", quote_ref="abc123")` - report wrong attribution
\- `flag_content(flag_type="broken_link", reason="404 error", sighting_id=12345)` - report dead link

Input parameters:

- `evidence_url`: URL supporting the flag (e.g., QuoteInvestigator link)
- `flag_type` (string, required): Type of flag: spam (advertising/promotional), misattributed (wrong author), typo (text error), nested (quote within quote), broken_link (dead URL)
- `originator_slug`: Originator slug (e.g., 'albert-einstein')
- `quote_ref`: Quote short_code (6-char identifier, e.g., 'abc123')
- `reason` (string, required): Explanation of the issue (required)
- `sighting_id`: QuoteSighting database ID (for broken_link flags)
- `source_id`: Source database ID

### `propose_edit` (~257 tokens)

Propose content edit

Propose an edit to a quote. Requires authentication.

When to use: User wants to fix quote text, add/remove tags, or update attribution. Trusted users may have edits auto-activated; others queue for review.

Examples:
\- `propose_edit(edit_type="text", quote_ref="abc123", new_text="Corrected spelling")` - fix typo
\- `propose_edit(edit_type="tag_add", quote_ref="abc123", tag_text="philosophy")` - add tag
\- `propose_edit(edit_type="attribution", quote_ref="abc123", disputed=True)` - mark disputed

Input parameters:

- `attribution_notes`: Notes about attribution (for attribution edits)
- `disputed`: Mark attribution as disputed (for attribution edits)
- `edit_type` (string, required): Type of edit: text (fix quote text), tag_add (add tag), tag_remove (remove tag), attribution (fix attribution)
- `new_text`: Corrected quote text (required for text edits)
- `originator_id`: New originator ID (for attribution edits)
- `quote_ref` (string, required): Quote short_code (6-char identifier, required)
- `tag_text`: Tag to add/remove (required for tag edits)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/quotewise-mcp/mcp#diagnostics

## Score history

- 2026-08-03: 66
- 2026-08-02: 66
- 2026-08-01: 65
- 2026-07-31: 65
- 2026-07-30: 65
- 2026-07-29: 65
- 2026-07-28: 64
- 2026-07-27: 63
- 2026-07-26: 63

## Links

- Remote endpoint: https://mcp.quotewise.io/
- Repository: https://github.com/quotewise/mcp
- Changelog RSS feed: https://verifymcp.io/servers/quotewise-mcp/mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/quotewise-mcp/mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/quotewise-mcp/mcp