"A server similar to Browser-Use MCP Server" matching MCP tools:

• get_current_workflowA

  NoClickA

  Get the workflow currently OPEN in the user's browser (nodes, edges, selected node). WARNING: with no browser session (the normal headless case) it does NOT error — it falls back to the user's most-recently-updated workflow (a GUESS) flagged with _fallback/_warning. If you have a specific workflow in mind, use get_workflow(workflow_id) instead; list_workflows to choose. Use node_ids to fetch only specific nodes.

  ConnectorOAuth

• 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

• 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_lookalike_creatorsA

  InflushipA

  Find creators SIMILAR to one or more seed creators. Use this when the user already knows a creator they like and wants more like them (e.g., "find creators like @therock", "find more creators like these three I just booked"). Seeds are blended via creator-profile + visual-style + fact embeddings to surface similar accounts. Seeds are passed in `seed_creator_ids` (canonical UUIDs) and/or `seed_profiles` (platform + username; resolve handles via `autocomplete_creators` first if needed). Returns a ranked list of similar creators with scores. `limit` caps results (default 25, max 100). Use the flat follower, engagement-rate, and verified fields to constrain results. A `seed_not_found` response means the supplied creator is not available for similarity matching; choose another seed instead of retrying it. Use `semantic_search_creators` instead when you have a topic/niche but no seed. Use `match_creators` when you have specific candidates and want to score their fit against a brief. Examples: - User: "Find creators like @niickjackson on Instagram" -> use this tool with `seed_profiles: [{ platform: "instagram", username: "niickjackson" }]`. - User: "Find news creators with 1M+ followers" -> use `semantic_search_creators`, not this tool.

  ConnectorNo auth

• find_lookalike_creatorsA

  Influship Influencer Marketing MCPA

  Find creators SIMILAR to one or more seed creators. Use this when the user already knows a creator they like and wants more like them (e.g., "find creators like @therock", "find more creators like these three I just booked"). Seeds are blended via creator-profile + visual-style + fact embeddings to surface similar accounts. Seeds are passed in `seed_creator_ids` (canonical UUIDs) and/or `seed_profiles` (platform + username; resolve handles via `autocomplete_creators` first if needed). Returns a ranked list of similar creators with scores. `limit` caps results (default 25, max 100). Use the flat follower, engagement-rate, and verified fields to constrain results. A `seed_not_found` response means the supplied creator is not available for similarity matching; choose another seed instead of retrying it. Use `semantic_search_creators` instead when you have a topic/niche but no seed. Use `match_creators` when you have specific candidates and want to score their fit against a brief. Examples: - User: "Find creators like @niickjackson on Instagram" -> use this tool with `seed_profiles: [{ platform: "instagram", username: "niickjackson" }]`. - User: "Find news creators with 1M+ followers" -> use `semantic_search_creators`, not this tool.

  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

• assess_opportunityA

  MatchAwardsA

  Use this when the user asks whether to bid on one opportunity, or wants a qualification brief on it: days left, set-aside, AI fit notes, similar past awards, the firms that typically win such work and the usual award value. Pass the id from a search result, and optionally my_naics (up to 10 codes) and my_set_aside to check the fit. Similar awards come from MatchAwards' award records for the same NAICS at the same agency, or at all agencies when that agency has none (basis says which); sample gives the dates covered and whether every matching record was read, so state that span rather than a longer one. Award records may be incomplete, so say so; ai text is AI-generated, so label it. Never call a firm the incumbent: these are firms that won similar work. Example: id="117412688283576625". Print url, sam_url and each award's url and source_url as markdown links. Do not use for searching (search_contracts, search_grants), for finding partners (find_teaming_partners) or for job postings.

  ConnectorNo auth

• list_form_fieldsA

  form fill-mcpA

  Inspect a PDF and return every fillable field: name, type, current value, and x/y position on the page. ALWAYS call this before fill_form. Use the exact field names returned here — never guess. Use the position coordinates (x, y) to identify what each field represents visually: higher y = higher on the page in PDF coordinates. Fields with similar y values are on the same horizontal line; fields with similar x values are in the same column. The response also includes pdf_type so you know if the PDF may have rendering quirks.

  ConnectorNo auth

• stacks.findSimilarA

  BuyAPIA

  Finds reviewed public stack examples related to a vendor, or recent curated stack examples. Use this when the user asks who uses a tool, what similar builders use, or wants examples of real stack combinations. Do not use it as a generic recommendation tool.

  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

• get_peersA

  TipRanksA

  Peer/competitor companies for a stock, with comparative metrics for side-by-side analysis. Read-only, no side effects. Use to find and compare a company against similar names (competitors, same-sector peers). For that company's own data use get_assets_data; for a sector-wide breakdown use get_sector_analysis.

  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