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358,044 tools. Last updated 2026-08-01 07:13

"Tools and Methods for Creating Images" matching MCP tools:

  • Upload a base64-encoded file to a site's container. Use this for binary files (images, archives, fonts, etc.). For text files, prefer write_file(). Requires: API key with write scope. Args: slug: Site identifier path: Relative path including filename (e.g. "images/logo.png") content_b64: Base64-encoded file content Returns: {"success": true, "path": "images/logo.png", "size": 45678} Errors: VALIDATION_ERROR: Invalid base64 encoding FORBIDDEN: Protected system path
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  • Reposition an existing item to a new (x, y) without retyping its content. Works for every item kind: `text` and `link` set the top-left to (x, y); `line` translates every point so the stroke's bounding box top-left lands at (x, y); `image` sets the top-left like text. `kind` defaults to `text` for backward compat with older callers. Find the id + kind via `get_board`. Prefer `move` over re-creating an item when only the location changes — it preserves the id, content, author and avoids a round-trip of base64 bytes for images.
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  • Fetch the FULL TEXT of a biomedical paper from PubMed Central (the open-access subset) by PubMed ID. PREFER OVER get_abstract when you need methods/results/discussion, not just the abstract — "read the full paper", "what methods did <PMID> use", "extract details from the paper". Resolves the PMID to its PMC id and returns the article body text (capped ~40k chars). Only open-access articles are in PMC — returns has_full_text:false (use get_abstract) otherwise.
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  • Search images or stock video clips. Pass one query or many (max 10) - multiple queries run in one call instead of separate tool calls. Use results to feed into clipform_generate_video for narrated slideshow videos, or upload directly as still images via clipform_upload_media_asset then clipform_attach_node_media. All results are pre-cleared for commercial use. Results include a description (alt text where the provider has it) - use it to pick visually distinct images. Example: { queries: [{ query: "saturn rings" }, { query: "mars surface", count: 3 }] } returns portrait images for both.
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  • Fetch one engine reference catalog. Catalogs (cheap, cacheable per session): - 'operators' — comparison operators for condition expressions - 'execution-modes' — entry/exit anchors and fill algorithms, with the validity matrix by market type - 'stop-types' — stop-loss types, re-entry modes, and their parameters - 'sizing-methods' — position-sizing methods and their parameters - 'bar-frequencies' — supported bar frequencies and the signal x execution validity matrix (which combinations are allowed) - 'sections' — the full metric catalog: every statistic's stable id, display label, section, and description - 'sampling-modes' — Monte-Carlo resampling modes, each with its status and parameters Fetch the relevant catalog BEFORE building a strategy or config; build only from values it lists — never guess parameter names or frequencies.
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Matching MCP Servers

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    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
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    Apache 2.0
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    Provides tools to fetch IIIF manifests and retrieve specific image regions or scaled images for analysis. This server enables detailed interaction with International Image Interoperability Framework resources, supporting tasks like image description and transcription.
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    MIT

Matching MCP Connectors

  • Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.

  • Pay-per-call AI tools over x402: web research, summarization, structured extraction (USDC, Base).

  • The full service catalog (Washington State notary & apostille) with prices and the accepted payment options. Optional — the server instructions already summarize the flow; call this when the customer asks about services or payment methods.
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  • A deterministic assembler that turns your return window, shipping-payer choice, restocking fee, refund methods, conditions, and non-returnable items into ready-to-review policy copy for Amazon US, Walmart US, Shopify, or eBay US. PAID SKILL: $0.25 USD per call; this server never runs paid work for free, and calling this tool returns payment instructions only. Pay per call with x402 (POST https://friday-seller-tools-production.up.railway.app/v1/policies/return-policy and settle the 402 challenge in USDC) or buy with a card at https://friday-seller-tools-production.up.railway.app/buy?service=return_policy_generator. Free sample output: https://friday-seller-tools-production.up.railway.app/v1/examples/return_policy_generator.
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  • List the saved payment methods (used only to pay for flight bookings, not for cards or adding funds). Returns each method with its id, brand, last 4 digits, and expiry, and marks the default one. Use setup_payment_method to add a new one. The gated tools set_default_payment_method and remove_payment_method also exist; call them by name even though they aren't in the tools list.
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  • **Call this tool only after the user explicitly confirms the exact draft revision returned by plan_panel_study.** This is the execution boundary. Never infer confirmation from silence, from the original request, or from your own suggested answer. If the user changes intent, source, questions, methods, or outputs, revise the draft with plan_panel_study first. Set advancedMethodOptIn only when the user explicitly chose the advanced method. The server reloads the stored draft, marks required capabilities reviewed, validates method versions/runners/configuration, and refuses unavailable methods. Treat list_research_methods and server validation as the availability authority; execute only methods reported with executable:true.
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  • Generate stock-report PNG images and return their URLs. This is intentionally separate from analyze_stock so the JSON analysis stays fast and light. The backend reuses the same Growth Engine image generators used by email/social publishing. Args: symbol: Stock symbol, e.g. "RXRX". force: Regenerate images instead of using cached PNGs. Defaults to True so manually requested images reflect the latest available data. types: Optional subset of chart types. Allowed values are "ai_prediction", "iv_radar", "option_pressure", "monte_carlo", and "equity_curves". Omit to generate every chart type.
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  • Start a batch render job to generate multiple images from a single template with different variable sets. Each variable set produces a separate image. Supports up to 100 items per batch (plan-dependent). Common use cases: generating personalized social cards for all team members, product images for an entire catalog, event badges for all attendees, certificate images for course graduates, or marketing assets with localized content. WORKFLOW: 1) Use pictify_get_template_variables to discover variables, 2) Call this tool with an array of variable sets, 3) Use pictify_get_batch_results to poll for completion and get result URLs. The job runs asynchronously — this tool returns immediately with a batchId (HTTP 202). For generating a single multi-page PDF instead, use pictify_render_multi_page_pdf.
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  • Delete a single item by id. `kind` MUST match the item type: 'text' for text nodes, 'line' for freehand strokes, 'image' for images — the wrong kind silently targets the wrong table and is a common mistake. Get the id + type from `get_board` (texts[], lines[], images[]). There is no bulk/erase-all tool: loop if you need to delete multiple items.
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  • Refine a user's request for creating a 3D scene. Your job: - Understand the user's intent clearly - Identify the purpose (advertisement, website, showcase, etc.) - Extract typed design tokens - Detect if animation is implied Return these structured fields when possible: - use_case - theme / style - material_preset - animation - lighting_preset - background_preset - composition - confirmed_objects - object_hints - discarded_hints Rules: - Do NOT generate objects here - Do NOT create a scene - Only clarify and structure intent - Keep richer scene-object detail in confirmed_objects for downstream tools Return a refined prompt and structured context for the next step.
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  • List all available VPS plans (catalog) with pricing, specs and the OS images each plan can boot. No authentication needed. Use this first to pick a `product` slug and an `os_id` for `order_vps`.
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  • START HERE with your research question. This is your step-by-step scientific METHOD guide: it works out what kind of research you're doing, hands you the concrete method one stage at a time, reviews each stage you submit (approves it or returns it for fixes), and controls what gets published. It DIRECTS your research process — it never does the work for you. (This guides HOW you conduct the work. It is NOT the tool for finding methods described in existing papers — for that, use the literature-search tools.)
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  • Check experiment usage and limits for your current plan. Returns quota usage for each experiment type (ab_test, smart_link, scheduled), maximum variants allowed per experiment, and analytics retention period in days. Use this before creating experiments to check if you have quota remaining.
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  • List OS images available for on-demand compute instances. Requires: API key with read scope. Returns: {"images": [{"id": "UBUNTU_24_04_64BIT", "name": "Ubuntu 24.04 LTS (x86_64)", "family": "linux", "flavour": "ubuntu"}, ...]}
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  • Return public ski resort information, location, facts, images and ski maps. Use this for explaining and comparing destinations, not for apartment prices or availability; use search_apartments for live week-specific accommodation results.
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  • Return step-by-step instructions for creating a Kamy API key in the dashboard. Does not open the browser.
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