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273,581 tools. Last updated 2026-07-08 14:29

"Interacting with Grok Shared Links" matching MCP tools:

  • Generates one or more images from a text prompt (T2I) or a text prompt + reference image(s) (I2I). Submits the job, polls until terminal, and returns the final image URLs. Default model is 'grok-imagine-t2i' (fast, 6 images per generation, 5 credits). Use list_image_models to see the full lineup with pricing. For I2I, pass `referenceImages` as an array of public image URLs and pick a model with I2I support (e.g. 'grok-imagine-i2i', 'wan-2.5-spicy-i2i'). ## Model selection guide (when the user does not specify a model) Default: `grok-imagine-t2i` (5 cr, 6 outputs per call, fast, general purpose). **Strong recommendation: when a single high-quality output is what's wanted** (most agent / one-shot workflows), prefer `gpt-image-2-t2i` (9 cr @ 1K / higher @ 2K, single deterministic image, best general quality across realism, illustration, typography, and composition; supports up to 2K resolution and most aspect ratios including auto). This is the front-runner for serious creative output where you don't need to pick from 6 variations. Pick a different model when the prompt has these signals: - "single best result" / "one image" / production / no time to pick from variations -> `gpt-image-2-t2i` (9 cr, 1 output, top general quality) - "photoreal" / "photo of" / "realistic" -> `gpt-image-2-t2i` (9 cr, best general realism) or `imagen-4` (12 cr, very high quality) or `z-image-turbo` (3 cr, fastest) - "highest quality" / "premium" / no budget -> `gpt-image-2-t2i` at 2K, or `grok-imagine-quality-t2i` (16 cr @ 1K, 22 cr @ 2K), or `imagen-4-ultra` - Text inside the image (signs, posters, typography) -> `ideogram-v3-t2i` (best in class) or `gpt-image-2-t2i` (also strong) - Artistic / painterly / stylized -> `midjourney-t2i` - Album art / cover art -> `gpt-image-2-t2i` for one strong image; `grok-imagine-t2i` for 6 variations to choose from; `seedream-v4-t2i` if 4K wanted - Logo or design with embedded text -> `ideogram-v3-t2i` - NSFW / adult / explicit -> `wan-2.5-spicy-t2i` (auto-tags creation as 18+; routes to adult gallery) - Cheapest possible / quick test -> `z-image-turbo` (3 cr) - Multiple variations to compare -> keep `grok-imagine-t2i` (6 outputs default) or use `numImages` on a multi-output model For I2I (reference image provided): prefer the dedicated `aetherwave_edit_image` tool for "change something in this image" intent. Use `aetherwave_generate_image` with I2I models only when you specifically want style transfer (`midjourney-i2i`), premium quality (`grok-imagine-quality-i2i`), or adult content (`wan-2.5-spicy-i2i`). Always pass an explicit `aspectRatio` (e.g. "1:1" for square album art, "16:9" for video thumbnails, "9:16" for shorts/reels). Some upstream providers reject submissions with no aspect ratio. Ask the user only when: - The prompt contradicts itself (e.g., "highest quality but cheapest") - The user requested "the best model" with no context, surface 2-3 options with tradeoffs - A single generation would cost more than 20 credits and the user has not confirmed
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  • Edits an existing image guided by a text prompt. Pass a public `imageUrl` plus a `prompt` describing the change ("add a moon to the sky", "swap the background for a neon city", "make it look like a comic panel"). Submits, polls, and returns the edited image URL(s). Default model is 'grok-imagine-i2i' (6 cr per call, returns 2 variations, ~30s, best cost-to-quality on standard edits). Other I2I-capable models: 'seedream-v4-edit', 'wan-2.5-spicy-i2i', 'flux-kontext-pro', 'qwen-image-edit', 'gpt-image-1.5-i2i' (slow, ~5min). Use list_image_models for full lineup. Note: source URLs with spaces or parentheses may fail upstream; prefer clean URLs. ## Model selection guide for edits Default: `grok-imagine-i2i` (6 cr per call, returns 2 variations = 3 cr/image effective, fast ~30s, strong general-purpose edit quality). Pick a different model when: - Need a single deterministic output, or 4K resolution -> `seedream-v4-edit` (7 cr per image, supports 1K/2K/4K, multi-image up to 6) - Subtle edits / preserve composition / character consistency -> `flux-kontext-pro` or `flux-kontext-max` - NSFW edits -> `wan-2.5-spicy-i2i` - Highest quality, time is not a concern (~5 min OK) -> `gpt-image-1.5-i2i` or `grok-imagine-quality-i2i` (16 cr @ 1K, 22 cr @ 2K) - Stylized / artistic transformation -> `midjourney-i2i` If the user simply says "edit this image" with no other signal, default to `grok-imagine-i2i`.
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  • Generates a short-form video from a text prompt (T2V) or a text prompt + starting image (I2V). Submits, polls, and returns the final video URL. Default model is 'grok-imagine-t2v' (fast, 4-6 cr/s, with built-in KIE -> fal.ai fallback). Use list_video_models for the full lineup with credit cost per second. I2V models (e.g. 'grok-imagine-i2v', 'seedance-pro-i2v') require a public `imageUrl`. Video generation can take 30s to several minutes; this tool polls with up to an 8-minute budget. ## Model selection guide for videos (when the user does not specify a model) Default: `grok-imagine-t2v` (4-6 cr/s, fast, has KIE -> fal.ai fallback for redundancy. Best general-purpose). Pick a different model when the prompt has these signals: - "highest quality" / "premium" / broadcast / commercial -> `veo3.1-quality` or `veo3-quality` (Google's flagship, fixed 350-560 cr for 8s, 3-5 min) - "fast premium" / quick high-quality -> `veo3-fast` or `veo3.1-fast` (84 cr fixed for 8s) - Cinematic camera moves / dolly / pan -> `seedance-pro-t2v` (3-10 cr/s) or `kling-3.0-pro-t2v` (26 cr/s) - Realistic human motion / faces -> `hailuo-2.3-pro-i2v` (I2V, supply imageUrl) - Talking head / lip sync -> `kling-avatar-pro` (23 cr/s) or `infinitalk` (5-17 cr/s) - Anime / stylized / fantasy -> `wan-2.7-t2v` - NSFW / adult -> `wan-22-nsfw-i2v` (I2V only; auto-tags adult) - Animate this exact image -> any I2V variant (`grok-imagine-i2v`, `seedance-pro-i2v`, `hailuo-2.3-pro-i2v`) - First + last frame interpolation -> `seedance-pro-i2v` with both `imageUrl` + `endImageUrl` - Cheapest test -> `hailuo-2.0-standard` @ 512p (3 cr/s, ~18 cr for 6s) or `grok-imagine-t2v` @ 480p (4 cr/s, ~24 cr for 6s) - Clip 12-15s -> `grok-imagine-t2v` (accepts up to 15s) - True 4K -> `kling-3.0-4k-t2v` (94 cr/s, expensive but native 4K) **Audio in generated video:** `grok-imagine-t2v`, `seedance-pro-t2v`, and the VEO 3.x family include audio at base cost (no surcharge). Kling 2.6 and Kling 3.0 are the outliers — they price audio as a +50-100% surcharge (Kling 2.6 doubles the cost, Kling 3.0 Pro adds ~46%). Default to Grok / Seedance / VEO when sound matters and you don't want to think about audio pricing. **Cost framing:** resolution and duration drive cost more than model choice. A 6-second 480p Grok generation costs ~24 cr; the same prompt at 1080p Seedance 2 is ~858 cr (35x more). Pick the lowest acceptable resolution + duration first. **For I2V models:** `imageUrl` is required. For first+last-frame models, pass `endImageUrl` too. Ask the user only when: - Single generation would cost more than 100 credits and they haven't confirmed - They asked for "the best" with no other signal; surface 2-3 options with cost ranges
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  • Create a new volumeset in a GVC with explicit performance class, filesystem type, initial capacity, snapshot policy, and (optional) autoscaling. Performance class and filesystem type are IMMUTABLE — choose carefully. xfs/ext4 support snapshots; shared is read-write-many but cannot be snapshotted. Snapshot defaults injected when omitted: createFinalSnapshot=true, retentionDuration "7d". customEncryption (customer-managed KMS keys) cannot be set here — apply a full manifest with the CLI (`cpln apply`), calling get_resource_schema (kind=volumeset) first. Mount separately via mount_volumeset_to_workload (ext4/xfs need a stateful or vm workload; shared mounts on any workload type).
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  • Queue a saved AI Visibility run from prompts x platforms or explicit probes. Use this when the user wants reportable probe results, not just prompt ideas. This starts queued work and returns quickly with a run_id; poll get_sleepwalker_visibility_run_status until the run is terminal instead of creating duplicate runs. Platforms accept canonical slugs or common labels: perplexity, openai/ChatGPT, grok, gemini. The response includes credit fields when credits are reserved.
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  • Get SSH connection info for a VPS/dedicated site. Only available for VPS/dedicated plans (not shared hosting). Requires: API key with read scope. Args: slug: Site identifier Returns: {"host": "184.107.x.x", "port": 22, "username": "admin", "ssh_command": "ssh admin@184.107.x.x"} Errors: NOT_FOUND: Unknown slug FORBIDDEN: Plan does not support SSH (shared plans)
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Matching MCP Servers

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    MCP server that wraps the xAI Grok API, allowing Claude and other AI agents to delegate thinking, planning, and real-time search tasks to Grok. It provides a single tool with options for different use cases including web search, Twitter/X search, and multi-agent reasoning.
    Last updated
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    MIT

Matching MCP Connectors

  • Trigger a Grok-AI gemological appraisal of a single gem on GemHunt (https://gemhunt.app — Father's gem-discovery platform). Returns: estimated retail value (USD), confidence interval, comparable sales, quality score breakdown (color/clarity/cut/origin), market trend, and a 'fair price ceiling' for negotiation. Use for collectibles agents, jewelry e-commerce, insurance estimation, or pre-purchase due diligence. Premium ($0.10/call): each appraisal calls Grok with full gem context — real AI cost + Father's curated comparable database.
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  • Find the nearest POIs to the given one by tag-cosine similarity (shared distinctive tags) — 'more like this'. Empty when the POI has only generic tags.
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  • Returns every image-generation model AetherWave supports, with its credit cost, default aspect ratio, supported inputs (T2I vs I2I), and any model-specific options. Call this before generate_image when you don't know the right model ID. The model key (e.g. 'grok-imagine-t2i') is what you pass as `model` to generate_image.
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  • Detect a phoenix / rebrand relink that exact-match screeners miss. Given a principal or entity name (e.g. a debarred contractor, an excluded provider, or an OFAC-listed party), this fuzzy-relinks it to NEWLY-FORMED Secretary-of-State business entities that share the name AND a second independent signal (principal address or named registered agent), while filtering out shared commercial registered-agent addresses. Returns NON-CONCLUSORY review flags with the full evidence chain and primary-source links — a research lead for human diligence, never a determination of wrongdoing. Use during M&A diligence, vendor/counterparty onboarding, or compliance screening.
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  • Set 'anyone with the link' access for a file you OWN: none | view | edit. Owner only. Enabling returns the tokenized URL (/f/:fileId?k=...) to paste; disabling rotates the token so already-shared links stop working.
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  • List principals with explicit access to a workspace. Returns users (id, name, email; email visible only when the caller is in the same org) and agents (id, name, brandKey) along with their role (owner | editor | commenter | viewer). Used by agents to verify a workspace is actually shared before writing output the team is expected to see.
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  • Rename a workspace, change its slug, switch its default-view mode, or flip its visibility (private | org | unlisted | public). Pass any subset of `name`, `new_slug`, `mode`, `visibility`; fields you omit are left unchanged. Slug renames preserve old URLs via WorkspaceSlugAlias so previously-shared links keep resolving. Visibility flips disconnect every live SSE subscriber so reconnects re-authenticate against the new visibility. Editor role required. Emits `workspace.renamed` and/or `workspace.visibility_changed`. Visibility WIDENING (private → org/unlisted/public, org → unlisted/public, unlisted → public) is consent-gated: pass `consent_mode: "web"` to return an approval_url the user clicks; otherwise the call returns `consent_required` and you must re-issue with consent_mode set. Visibility narrowing + non-visibility updates execute immediately on the agent's role.
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  • Get your agents' Customer Bounty referral links. With no arguments, lists each of your agents and its link (if enrolled). To enroll an agent and mint its stable link, pass accept_terms:true with the agent_id and the current terms_version (from this tool's listing). You must disclose, next to any shared link, that you may earn a reward. Requires a TaskBounty API key.
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  • Vouch for (or warn about) work another agent did for you. Free — this is what grows the shared trust graph. rating is 0..1 (1 = excellent, 0 = bad). Authenticate with YOUR api_key from guild_register. Example: guild_attest(issuer_api_key="sk_...", subject_id="agt_9x", capability="summarize", rating=0.9) Returns {id, verified}.
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  • Scan a verified on-chain smart contract for quantum-vulnerable cryptography AND today's fraud patterns (rug pulls, honeypots, uncapped mints, reentrancy). Use this BEFORE signing a transaction, interacting with a DeFi protocol, or integrating a contract into an agent workflow. Synchronous — result is immediate (no polling needed). Requires the contract to be verified on Sourcify (https://sourcify.dev). Returns risk score 0-100, agent risk score, finding breakdown, and concrete PQC migration steps. Rate-limited: same as scan_repository (10/day per IP free, credit-based paid).
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  • View commit history for a solution's GitHub repo. Shows recent commits with messages, SHAs, timestamps, and links. Default reads from `main` (prod). Pass `ref: 'dev'` to see in-progress work.
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  • Get the current floor ask price from the native CryptoPunks marketplace. Excludes restricted (onlySellTo) and zero-value listings. Returns `totalActive` (same denominator as get_listings). Rate limit: 10 per 10 min (read bucket — shared with browse_types, browse_traits, get_punk_details, get_listings, get_bids_for_punk, get_bids_for_merkle_root).
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  • Compare two or more products side by side. Use when the user asks to compare, says 'X vs Y', or wants to decide between options. Do not use for single product lookup — use get_product instead. Returns structured comparison with shared attributes, differences, tradeoffs, and a decision hint.
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