"author:7mza" matching MCP tools:

• get_reviews

  Yelp

  ⚠️ UPSTREAM-UNRELIABLE — Yelp Fusion's /reviews endpoint has been 404-ing on most ids since mid-2026 even for valid businesses. PREFER `get_business` (which sometimes inlines a snippet) or `search_businesses` for review-context queries. If you must call get_reviews: pass the ENCRYPTED business id (long alphanumeric, e.g. "WavvLdfdP6g8aZTtbBQHTw") returned in search_businesses results — aliases / slugs (e.g. "garaje-san-francisco") reliably 404. Returns up to 3 review snippets per business (rating, text, author, timestamp); "limit" is capped by Yelp upstream regardless of what you pass.

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• get_post

  benmilne

  Retrieve a single post by numeric ID or slug, or pass id=0 for The Value Layer book metadata. Returns title, date, author, content_html, categories, and tags. Use slug from search_posts or list_posts results to chain calls.

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• get_deploy_result

  quantifyme

  Wait for a `one_shot` deploy to finish and return its final result. `one_shot` returns a job_token immediately and the LIVE CARD already streams progress and renders the interactive backtest chart itself. Call this ONCE with the token to get the final numbers as TEXT so you can summarize them — it does NOT render another card (no need for get_model_chart). It BLOCKS until the deploy finishes (or ~2.5 min); on timeout it returns ok:false + pending:true — call it again with the same token. IMPORTANT: if `source == "community"`, the deploy used a PRE-EXISTING strategy by `@author` — tell the user that, share the `live_url` as the Live dashboard link, and ask whether they'd like to GENERATE A CUSTOM strategy instead. Use the `note` field as your guide. Args: job_token: the token returned by `one_shot`. Returns: dict with: ok, stem, model, live_url, symbol, timeframe, channels (list), stats:{ret, wr, pf, n, mdd} (out-of-sample test-split metrics — SHOW THESE), source ("community" | "generated"), author (community username if any), author_url + strategy_url (render @author and "pre-existing strategy" as those Markdown links), community_id, suggest_custom (bool), and note (a ready instruction — follow it). On failure: {ok:false, error} (or {pending:true}).

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• orcid_resolve_researcher

  orcid-mcp-server

  Disambiguate an author name to a verified ORCID iD. Returns up to 5 ranked candidates with transparent disambiguation signals: name match type (exact/partial/other-name/none), institution overlap flag, and whether a DOI or PMID anchor was used in the query. A DOI or PMID anchor is near-deterministic — it filters to researchers who have linked that specific work to their ORCID record. Use this tool (not orcid_search_researchers) when the input is an ambiguous name that needs ranked disambiguation. No synthetic scores are used — raw signals only.

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• searchCollaborators

  qubitsok — Quantum Computing Jobs, Papers & Researchers

  Find quantum computing researchers and potential collaborators from 1000+ active profiles. Use when the user asks about specific researchers, who works on a topic, or wants to find collaborators. NOT for jobs (use searchJobs) or papers (use searchPapers). AI-powered: decomposes natural language into structured filters (tag, author, affiliation, domain, focus). Returns profiles with affiliations, domains, publication count, top tags, and recent papers. Data from arXiv papers published in the last 12 months. Max 50 results. Examples: "quantum error correction researchers at Google", "trapped ions", "John Preskill".

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• openlibrary_get_cover_url

  openlibrary-mcp-server

  Resolve a cover image URL for a book or author photo. Returns a direct HTTPS URL in the requested size (S/M/L). The Covers API always returns HTTP 200 — missing covers return a 1×1 placeholder GIF, not a 404. URLs can be embedded in markdown as .

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• scholarfetch_author_papers

  ScholarFetch

  Expand one author into a deduplicated paper list. This is the main author->paper traversal tool and supports research filters. Use `author_id` when you already know the exact author, or `author_name` plus `candidate_index` after `scholarfetch_author_candidates`. Supported comma-separated `filters`: year>=YYYY, year<=YYYY, year=YYYY, has:abstract, has:doi, has:pdf, venue:<text>, title:<text>, doi:<text>. If you pass `engines`, it must include `openalex`.

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• bsky_get_author_feed

  bluesky-mcp-server

  Get a Bluesky user's recent posts ordered newest-first. Filter by post type: "posts_with_replies" (everything), "posts_no_replies" (original posts only), "posts_with_media" (posts with images or links), or "posts_and_author_threads" (posts the author started). Returns posts with full text, engagement counts, embeds, and AT-URIs for drilling into threads via bsky_get_post_thread. Supports cursor pagination.

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• bsky_search_posts

  bluesky-mcp-server

  Full-text search across public Bluesky posts. Filters by author (handle or DID), language (BCP-47 code, e.g. "en"), hashtag (without the # prefix), date range (ISO 8601), and sort order. Returns posts with text, author info, engagement counts (likes/reposts/replies), normalized embeds, AT-URIs for thread drilling, and hitsTotal when the API reports the total number of matching posts. This is the primary entry point for social listening — pass any AT-URI from results to bsky_get_post_thread to read the full conversation.

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• open_document

  trident

  Opens a live Trident document and returns its full contents as Trident markup DSL — the human-readable text format used to author diagrams. Use this to READ and UNDERSTAND the diagram: its structure, labels, connections, and layout. Do NOT rely on this to enumerate entity IDs for programmatic use — the DSL can be very large and the output may be truncated. To get a complete, structured list of all entity IDs and counts, use get_document_summary instead. Requires a valid access token.

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• orcid_search_researchers

  orcid-mcp-server

  Search the ORCID registry using structured field parameters or raw Solr syntax. All provided structured params are ANDed together. The `query` field appends raw Solr syntax to the generated clause. Returns ORCID iDs with inline name and institution data — no follow-up profile fetches needed for basic disambiguation. For ranked disambiguation of an ambiguous author name, use orcid_resolve_researcher instead. The ORCID Public API caps results at 10,000 — use pagination for large result sets.

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• get_book

  Source Library

  Get a book's AI-generated summary, chapter list, edition metadata, DOI, and page counts. THIS IS THE RIGHT FIRST CALL whenever the user has named a specific author or work — the summary is typically a multi-paragraph orientation covering the book's argument, structure, and significance, often answering the question without any further searching. Pair with get_book_text to read selected chapters, or search_within_book to locate passages inside it.

  Connector

• connect_onboard

  bookstore4agents

  Start (or resume) Stripe Connect onboarding so this account can RECEIVE author royalties. Returns a one-time onboarding_url the human author must open in a browser to complete KYC. Required before a book can be published: an author with no payouts-enabled Connect account can save drafts but their books stay in draft until onboarding finishes. Payouts stay disabled until Stripe verifies the details — poll connect_status afterward.

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• request_payout

  bookstore4agents

  Immediately withdraw this account's FULL pending royalty balance via Stripe Connect, bypassing the monthly batch and its minimum threshold. This MOVES MONEY and the recipient bears the transfer fee. This is a TERMINAL ACTION: only call it when the author has EXPLICITLY asked to withdraw / cash out now. Do NOT call it just to check the balance — use payout_balance for that. Fails if Connect onboarding isn't complete or there's no pending balance.

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• openlibrary_get_work

  openlibrary-mcp-server

  Fetch a work by Open Library Work ID (OL…W). Returns title, description, subjects, cover IDs, and linked author IDs for follow-up lookups. Works represent the abstract book concept independent of any specific edition. Note: author names are not included — use openlibrary_get_author or openlibrary_search_books for names.

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• get_article

  library

  Fetch a single article from Psychiatry for Kids by slug. Returns title, body content, author, clinical reviewer, citations, and metadata.

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• notes_recall

  dialogbrain

  Recall notes from your notebook. By default returns only your own notes (all scopes, newest first). Pass filter_agent_id=<int> to read another agent's notebook, or filter_agent_id="all" (or "*") to read across every agent in the workspace. Pass scope to narrow to global/thread/person. Each result includes agent_id and agent_name of the author.

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• list_books

  Source Library

  Browse the catalog by metadata — filter by author/title fragment, language, category, or translation recency. Returns books with title, author, language, year, and translation progress. Use this to discover WHAT EXISTS by an author or in a tradition before searching content. For content matches (passages on a topic), use search_translations or search_concept instead.

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• get_board

  cnvs.app

  Full structured JSON state of a board: texts (id, x, y, content, color, width, postit, author), strokes (id, points, color, author), images (id, x, y, width, height, dataUrl, thumbDataUrl, author; heavy base64 >8 kB elided to dataUrl:null, tiny images inlined). Use this for EXACT ids/coordinates/content (needed for `move`, `erase`, editing a text by id). For visual layout (where is empty space? what overlaps?) call `get_preview` instead — it's much cheaper for spatial reasoning than a huge JSON dump.

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• quotes_containing

  Quotewise

  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

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