"Implementing functionality similar to Manus" matching MCP tools:

• findSimilarPartsA

  PhasioA

  Find the part revisions most similar in shape to a given one. Similarity is a geometric shape-descriptor distance: 0 = identical shape, up to ~1.414 = unrelated (cosine ~= 1 - d^2/2). It is rotation- and scale-invariant, so it matches shape/proportion and ignores absolute size and orientation — two parts of the same shape at different sizes score as very similar; use inspectPartRevision for real dimensions. As a rule of thumb distance < 0.05 is a near-duplicate. Requires the part revision's UUID (find one via query(entity="partRevision")).

  ConnectorAPI key

• findSimilarPartsA

  PhasioA

  Find the part revisions most similar in shape to a given one. Similarity is a geometric shape-descriptor distance: 0 = identical shape, up to ~1.414 = unrelated (cosine ~= 1 - d^2/2). It is rotation- and scale-invariant, so it matches shape/proportion and ignores absolute size and orientation — two parts of the same shape at different sizes score as very similar; use inspectPartRevision for real dimensions. As a rule of thumb distance < 0.05 is a near-duplicate. Requires the part revision's UUID (find one via query(entity="partRevision")).

  ConnectorAPI key

• find_similar_sitesA

  mcpA

  Find similar or competitor websites based on classification. Takes a URL, classifies it (or uses cached classification), and returns other websites from the same category and subcategory. Useful for competitive analysis and discovering related content. Rate limited to 1 request per minute per domain. Args: url: The website URL to find similar sites for. limit: Maximum number of similar sites to return (1-50, default 10). Returns: Dictionary with: - url: The input URL (normalized) - classification: The URL's category and subcategory - similar_sites: List of similar URLs from the same category - total_in_category: Total sites in this category/subcategory - cached: Whether the classification was from cache

  ConnectorNo auth

• view-hmr-unit-testsA

  hmrA

  The unit tests (code examples) for HMR. Always call `learn-hmr-basics` and `view-hmr-core-sources` to learn the core functionality before calling this tool. These files are the unit tests for the HMR library, which demonstrate the best practices and common coding patterns of using the library. You should use this tool when you need to write some code using the HMR library (maybe for reactive programming or implementing some integration). The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.

  ConnectorNo auth

• get_lending_application_statusA

  droplinkedA

  Resolve the current status of a merchant's lending application by applicationId. Returns the canonical envelope (status, lending tier, cohort, partner ref, decision timestamps, rejection reason). Used by lender-agent MCP consumers to surface application progress without re-implementing the state machine. Gracefully degrades to `found=false` on 404 / transport error.

  ConnectorNo auth

• movies_similarA

  Orca MCPA

  Films or shows similar to a given one: merged similar + recommendations, deduplicated. Accepts title, TMDB id or IMDb id - provide only one. Use for 'like Whiplash what should I watch' questions. Do NOT use for genre browsing (use movies_discover).

  ConnectorNo auth

• find_fit_candidatesA

  Code Synapse — Fit Repo FinderA

  Pre-adoption decision tool for open-source reuse. Call BEFORE implementing non-trivial functionality that a maintained OSS component could provide (queue, scheduler, parser, auth, cache, protocol client, ...) or before adding a dependency. Send a short capability need plus your project's minimal constraints; returns up to 12 candidates by default (up to 20 when max_candidates is provided), with per-constraint pass/fail/unknown, evidence basis (observed vs inferred), and explicit no-hit semantics.

  ConnectorNo auth

• get_cross_intelligenceA

  TrendIdeaA

  Return cross-user intelligence for an idea: anonymous, aggregated insights from similar ideas across the platform. Use it to learn how comparable ideas performed without exposing any private data. Read-only and free; pass an ideaId you own.

  ConnectorNo auth

• aimrank_find_similar_domainsA

  AimRankA

  Find public domains most similar to a query or a known domain. Use ``query`` for free-text search ("pharma evaluation") OR ``domain_id`` to find domains similar to one you already know. Exactly one must be provided. TF-IDF + cosine similarity over name + description + category + declared constitution + objectives text. Cheap (no embedding API calls), 5-minute in-process cache. Only public domains are searched / returned. Score in [0, 1] — typical "useful match" threshold is ≥0.15; "near duplicate" is ≥0.5. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.

  ConnectorNo auth

• find_similar_fragrancesA

  ScentVerdictA

  Find fragrances similar to one the user already knows, optionally steered in a direction such as cheaper, fresher, longer lasting or less sweet. Use this whenever the user names a fragrance and wants something like it: a cheaper alternative, a budget version, something that smells similar, or a gift for someone whose current fragrance they know ('he wears X, what else would suit him'). Each match carries a similarity score computed by ScentVerdict for that specific pair. The cheaper direction lists pairings ScentVerdict has curated first, then similar fragrances priced below the anchor where we hold its price. Each match carries its bottle price for the user's country, in the shop's own currency. Use recommend_fragrances instead when the user names no fragrance to anchor on.

  ConnectorNo auth

• originators_likeA

  QuotewiseA

  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

  ConnectorNo auth

• waveguard_compareA

  WaveGuardB

  Compare two data items for structural similarity using physics-based fingerprints. Returns cosine similarity (0–1) and Euclidean distance. Use for duplicate detection, behavioral matching, drift analysis, or checking if two tokens/wallets/contracts are structurally similar. Cosine similarity > 0.95 = very similar. < 0.80 = structurally different.

  ConnectorNo auth

• get_similar_namesA

  Name Whisper — ENS Intelligence LayerA

  Find ENS names semantically similar to a given name using vector embeddings across 3.5M indexed ENS names. Returns similar names with similarity scores, status (REGISTERED / GRACE_PERIOD / PREMIUM_AUCTION / AVAILABLE), and live marketplace data. Names in GRACE_PERIOD are NOT registerable by anyone but the original holder.

  ConnectorNo auth

• historical_analogsA

  Seiche — world-markets evidence terminalA

  The historical days most similar to today's funding conditions, and how often those analogs led to a stress event, plus a novelty flag for whether today has any close precedent. Use to ground a 'what usually happens from here' question in real history.

  ConnectorNo auth

• waveguard_compareA

  WaveGuardA

  Compare two data items for structural similarity using physics-based fingerprints. Returns cosine similarity (0–1) and Euclidean distance. Use for duplicate detection, behavioral matching, drift analysis, or checking if two tokens/wallets/contracts are structurally similar. Cosine similarity > 0.95 = very similar. < 0.80 = structurally different.

  ConnectorNo auth

• find_similarA

  diggercampA

  Find sonically similar tracks to a song (closest by sound). Paste a Bandcamp, YouTube or SoundCloud link.

  ConnectorNo auth

• get_event_similarA

  pdata Prediction MarketsA

  Use when an agent needs events similar to a given event — cross-platform equivalents and topically-related markets, precomputed nightly from title embeddings. Best-first; empty list (never an error) when no similarities are known yet.

  ConnectorNo auth

• suggest_note_tagsA

  Razuna DAM MCPB

  Suggest existing note tags for a given input. Uses normalization, plural stemming, and fuzzy matching to prevent duplicate tags. Call this BEFORE adding tags to check if a similar tag already exists (e.g., "apples" matches "apple", "help monks" matches "helpmonks").

  ConnectorOAuth

• image_relatedA

  OpenverseA

  "Find images similar to [X]" / "more images like this" — related images for a given Openverse image ID. Use for visual-similarity exploration in CC content.

  ConnectorNo auth

• pitfalldb_reportA

  plithA

  Report an agent failure. PII-scrubbed before storage. Linked to existing pitfalls if similar. Free — no credits charged.

  ConnectorNo auth

• quotes_likeA

  QuotewiseA

  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

  ConnectorNo auth