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685,667 tools. Updated 2026-10-22 17:59

"Searching for a blender MCP (Multipurpose Control Panel or similar component)" matching MCP tools:

  • Fast code search across any public git repo. Returns file paths, line numbers, and code snippets with context. Supports regex, boolean queries, fuzzy matching, and structural filters (declarations, usages, strings, comments). Dependency/build directories excluded by default. Searching for leaked secrets? Call code_analyze instead and read security_summary — it runs a real secret and credential scanner over the whole repository, where searching for key prefixes like "sk-", "ghp_" or "AIza" only matches the spellings you happened to think of.
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  • Returns per-component breaking changes and a migration guide between an installed version of the project's active component package and the latest published version. Read-only: it reports an upgrade, it never performs one. Use it when planning or reviewing a component-library upgrade, or before bumping the package version in a manifest. current_version is the exact semver currently installed, e.g. "1.0.0" - not a range, so no leading "v", "^", or "~"; read it from list_packages when unsure. Passing the latest version returns an empty change set. It is not a per-component changelog and not a current spec - use get_component for one component today, and list_packages for what is installed. Requires update tracking, a Team plan feature; on lower plans it returns an upgrade-required error instead of data.
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  • Returns instructions for migrating to PropelAuth in a frontend framework such as React, JavaScript, TypeScript, or when using Next.js for just the frontend (e.g. client-side rendered). Guidance includes migrating from several auth providers, such as Clerk or Auth0. Each guidance will include documentation from the auth provider and PropelAuth. It is important to follow the instructions carefully to ensure a successful integration. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc. CRITICAL: If the current implementation uses a traditional OAuth/OIDC flow (e.g., via express-openid-connect, passport-auth0, or similar backend-managed session libraries), you MUST select 'OAuth' as the framework, regardless of the frontend library (React/Vue/etc.). Only select 'React' or 'Javascript' if the current implementation uses a frontend-only SDK (like @auth0/auth0-react) or if using fullstack Next.js.
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  • Resolve a city or airport name or code before searching flights. Returns typed values such as city:SHA to search every catalog airport in Shanghai or airport:SHA for Hongqiao only. Pass the selected value unchanged to search_flights. Ask the traveler when multiple results are plausible.
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  • Free. Quotes a comic before anything is made: script credits plus panel credits for a page count and panel engine. The quote assumes 4 panels a page, so it runs HIGH for short books (a 12-page book was quoted 462 and cost 301 because the script wrote 27 panels, not 48). The real panel price is known after the script: aetherwave_comic_status reports creditsToFinishDrawing, and aetherwave_comic_draw accepts maxCredits. Character references cost 6 credits each on top.
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  • Find historically similar audience moments across the screen network using embedding similarity search. Input a natural-language description of the target moment. Moment embeddings are 768-D vectors generated from multi-modal observation data (visual, audio, environmental, social) via the MomentEmbeddingService. This tool embeds your query text and finds the closest real-world moments via approximate nearest-neighbour (ANN) cosine similarity over a Lance IVF_PQ index. CONSISTENCY: results are APPROXIMATE and EVENTUALLY CONSISTENT. - Approximate: retrieval is ANN, not an exhaustive scan (measured recall ~0.96 against exact KNN), so an identical query may omit a borderline match. - Eventually consistent: the index is served from a replicated pool whose replicas refresh independently, so for up to 5 minutes after new moments are published, two identical calls may return slightly different result sets. The difference is confined to the VISIBILITY of newly-published moments; the relative ranking of already-visible ones does not change. Do not use this tool where a repeatable, exhaustive result set is required. WHEN TO USE: - Searching for historical moments similar to a target scenario - Finding "moments like this one" across different venues/times - Discovering when similar audience compositions or behaviors occurred - Planning ad placements based on past similar contexts RETURNS: - data: Array of matching observations with similarity scores - observation_id, observed_at, venue_type, device_id, screen_mongo_id - payload: full observation data - evidence_grade: quality of observation - similarity: cosine similarity score (0-1, higher = more similar) - metadata: { result_count, embedding_model, min_similarity_threshold } - suggested_next_queries: Follow-up queries EXAMPLE: User: "Find moments with high engagement in evening restaurants with families" find_similar_moments({ query: "evening restaurant venue with families present, high emotional engagement and attention" }) User: "When did we see young adults highly engaged at transit screens?" find_similar_moments({ query: "transit venue morning commute young adults high attention" })
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Matching MCP Servers

  • A
    license
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    quality
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    maintenance
    Enables safe, structured control of Blender on Windows via a standalone STDIO MCP server, providing seven tools to inspect scenes, list and edit materials, transform objects, add modifiers, set smooth shading, and export assets without arbitrary code execution.
    7
    Apache 2.0

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  • Free agent directory and job board. List your agent free: give it agent-control.net/skill.md

  • Oregon DMV MCP — live wait times at all 60 Oregon DMV field offices, plus the office

  • 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
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  • Return the markers that make up a lab panel by slug — each resolved to its Mediora marker slug, name and one-line summary — plus the panel's search aliases (CBC/FBC, CMP, LFT, TFT, renal panel, …). Answers "what's included in a CBC / lipid panel / CMP". Follow each marker into mediora__explain_marker for full detail.
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  • Publish a DRAFT or SCHEDULED post to its accounts right now instead of waiting for its schedule. Requires paid plan. Publishing runs in the background: this returns status PUBLISHING straight away. Call get_post after a minute or two to see each account's result; if some accounts fail, use retry_post. In app-capable hosts the panel tracks publishing live, so don't poll get_post there. In app-capable hosts the result renders as an interactive panel the user can see and act on — do NOT repeat its contents as a list or table in your reply; add only what the panel doesn't say.
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  • Recommend the best expert panel for a query (semantic match with keyword fallback). Returns the top panel + confidence and the runner-up options — feed the result into run_council's panel argument. Requires authentication because the query may be sent to the configured embedding provider.
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  • List panels you own for a story. Use this to get panel_id values before changing Image 1 or Image 2 on manga.continue_story or manga.regenerate_panel. Each row has ref_role: identity on the first panel, scene on the last distinct panel, otherwise null.
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  • Everything about one control by its slug: what it does, its control type, license and repository, the current release's properties, and download links for its solutions. Use it once search or list_components has given you a slug; use get_doc_page for installation and configuration instructions, which this does not return. An unknown slug, or a version the control never released, returns an error naming the tool to call instead. include_versions and include_related each cost an extra query, so leave them off unless you need the release history or similar controls.
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  • 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).
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  • action 'start' (default): starts drawing every panel that is not drawn yet (pending or failed), one at a time, 1.5 to 6 minutes each, and returns immediately. 9 credits a panel, charged only when a panel succeeds. Safe to call again at any time: if a run is active it reports alreadyDrawing and starts nothing; if a run died (a server restart ends a run silently) it resumes with just the missing panels. Pass maxCredits to refuse a run that would cost more. Follow progress with aetherwave_comic_status. action 'stop': asks the active run to stop after the panel it is on.
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  • Run a saved panel through am_i_cited and append a timestamped snapshot. Side effects: makes external API calls to the configured AI engine (costs API quota); writes one snapshot file to disk at <config>/snapshots/<panel>/<iso>.json. Requires at least one engine API key (same as am_i_cited). Returns per-query citation presence and a citation_rate summary for the run. Use panel_track to create a panel first; use citations_trend to read the accumulated trend after multiple runs.
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  • Show what a Blender scene looks like: a fast, low-cost preview render on a cloud GPU, back as an image in seconds. Typical requests: 'render this .blend', 'show me the scene', 'preview the turntable', 'I have no GPU', 'Blender is too slow on my laptop', 'Blenderでレンダリングして', 'GPUがない', 'ターンテーブル', '商品の360度動画'. Also use it after writing a bpy script, to see what it builds. Each preview returns a critic verdict (ok / check / fix) with fix code: apply the fixes and preview again before any final render. It also returns final_estimate (the same scene as a 1080p final) and quota_left_today; tell the user both before asking to go on. Prices come before rendering: final_offers give each next render's time and price, and a paid one needs the user's approval. A script that raises comes back as a failure with the line (nothing is rendered). When not to use: editing a scene open in the user's Blender belongs to a local Blender MCP, and a single still on a machine with its own NVIDIA GPU usually renders faster locally. This service is for CPU-only machines, animations, and scripts with no Blender installed. Limits: up to 1280x720; 1-4 frames tiled in one labeled image for the GPU time of one 720p frame. preset='product' | 'turntable' | 'animation' sets camera, light, backdrop and frames for that purpose. Other options are explained on each parameter: environment presets and 'compare', orbit (turntable), cameras (several named cameras), engine, transparent, asset_urls with 'polyhaven:<id>' CC0 assets. Give the scene as scene_script (bpy code as text), scene_url (an https link to a .blend, .py or 3D file) or scene_id; reuse the returned scene_id in render_final.
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  • Show how one Chinese character connects to others. Returns the components it is built from, characters that contain it, characters that look similar and are easy to confuse with it, the other characters that share its sound component, and common words that start with or contain it. Use this when the user wants to learn a character through its parts, tell look-alike characters apart, or see a character family. Do not use it for words of two or more characters.
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  • List every lab panel in the Mediora catalog (CBC, lipid, comprehensive metabolic, thyroid, iron, liver, kidney, diabetes, vitamin, inflammation, hormone, bone, cardiac, electrolyte, adrenal, PSA/prostate). Returns slug + name + marker count. Use mediora__explain_panel for the markers a panel contains.
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  • Compare one baseline person-fact panel with one candidate panel against the same active eligibility snapshot and exact product request. Use this for explicit what-if questions such as adding a confirmed employer or association. Newly reachable means current positive evidence now proves a path; no_longer_reachable or absence never proves ineligibility. Supply only facts the person confirmed, preferably canonical *_org_ids from resolve_eligibility_entities. Person facts are forwarded transiently and are not stored by this tool.
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  • Queue a bounded Blender recipe, never arbitrary Python. Saves GLB and .blend in the workspace as an unvalidated work version with a shared Scene Studio link. Read gripforge_scene_schema for recipe fields. Supports original primitive/custom meshes, PBR colors and keyed transforms. Poll gripforge_generation_read; final visual approval must use GripForge rendering, not Blender screenshots.
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  • 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.
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