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134,461 tools. Last updated 2026-05-16 03:40

"A method to allow vision models to process and understand image files" matching MCP tools:

  • Upload an image to a Wix site's Media Manager. Returns the uploaded file URL (wixstatic.com) and media ID usable in other Wix APIs. ⚠️ You MUST provide image data — calling this tool without image data will fail. Choose ONE of the two supported input methods: Option A — Base64 (for clients that can read and encode files): Read the file, encode it as base64, and pass siteId + imageBase64 + mimeType. Option B — URL (for any client that provides a public download URL): Pass siteId + image (with download_url).
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  • Discover all knowledge bases you have access to. Returns collection names, descriptions, content types, stats, available operations, and usage examples for each collection. Call this first to understand what data is available before searching.
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  • Export a generated image asset by session and asset ID. Returns the image inline as base64 along with metadata (format, dimensions, size). When running locally (stdio transport), you can optionally provide a destinationPath to save the image to disk. USAGE: After generating an image with generateImage, use the sessionId and assetId to export: exportImageAsset(sessionId="...", assetId="...") To save to disk (local/stdio only): exportImageAsset(sessionId="...", assetId="...", destinationPath="/Users/me/project/images/logo.png")
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  • Attach a Stripe payment method to your Disco account. The payment method must be tokenized via Stripe's API first — card details never touch Disco's servers. Required before purchasing credits or subscribing to a paid plan. To tokenize a card, call Stripe's API directly: POST https://api.stripe.com/v1/payment_methods with the stripe_publishable_key from your account info. Args: payment_method_id: Stripe payment method ID (pm_...) from Stripe's API. api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.
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  • Find working SOURCE CODE examples from 37 indexed Senzing GitHub repositories. Indexes only source code files (.py, .java, .cs, .rs) and READMEs — NOT build files (Cargo.toml, pom.xml), data files (.jsonl, .csv), or project configuration. For sample data, use get_sample_data instead. Covers Python, Java, C#, and Rust SDK usage patterns including initialization, record ingestion, entity search, redo processing, and configuration. Also includes message queue consumers, REST API examples, and performance testing. Supports three modes: (1) Search: query for examples across all repos, (2) File listing: set repo and list_files=true to see all indexed source files in a repo, (3) File retrieval: set repo and file_path to get full source code. Use max_lines to limit large files. Returns GitHub raw URLs for file retrieval — fetch to read the source code.
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  • Create a browser upload link for media files. ALWAYS use this when the user shares an image or video in chat — their file is local and cannot be passed directly to publish_content. WORKFLOW: 1. Call this tool to get an uploadUrl 2. Give the user the link to open in their browser and upload their file 3. After upload, call get_upload_session to get the public media URL(s) 4. Use the returned URL with publish_content or schedule_content Supports up to 20 files per session. Expires in 15 minutes.
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Matching MCP Servers

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    license
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    quality
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    maintenance
    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    Last updated
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    24
    Apache 2.0

Matching MCP Connectors

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • An MCP server for generating images from HTML & CSS or screenshots of URLs using htmlcsstoimage.com.

  • Get contents of multiple files from a remote public git repository in a single call. Reduces round-trips when you need to read several related files. Max 10 files per batch, 5000 total lines budget across all files. Each file supports optional line ranges. Failed files return per-file errors without blocking other files.
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  • Upload connector code to Core and restart — WITHOUT redeploying skills. Use this to update connector source code (server.js, UI assets, plugins) quickly. Set github=true to pull files from the solution's GitHub repo, or pass files directly. Much faster than ateam_build_and_run for connector-only changes.
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  • Returns information about the supplier network: available destinations, experience categories, booking platforms, and protocol details. Call this before search_slots to understand what regions and activity types are available.
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  • Retrieve your Echosaw account profile including subscription tier, email, organization membership, and trial status. Use this to understand your current plan limits and account details.
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  • Returns information about the supplier network: available destinations, experience categories, booking platforms, and protocol details. Call this before search_slots to understand what regions and activity types are available.
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  • Return the primary image URL and current metadata for a work, so you can visually analyze the image yourself and propose structured catalogue fields. Use this when the artist asks you to read a work you uploaded, or when beat 2 of the add-work flow surfaced thin hints. The image URL is publicly accessible (Supabase Storage public bucket); fetch it and inspect the image directly with your vision capabilities. Fields you can honestly improve from a visual read: medium (paint vs. print vs. sculpture material vs. digital), classification (painting / sculpture / drawing / photography / time-based / software / installation / performance), date visible in the work itself (distinct from EXIF), description (brief factual read of subject matter), dimensions if a scale reference is in frame. Signature/inscription has TWO Identity Eight fields: `signature_status` (enum — "signed" / "unsigned" / "signed_and_dated" / "inscribed" / "signed_verso" / "stamped") and `inscriptions` (free-text wording). Route a visible signature verbatim into `inscriptions` (e.g., "Signed l.r. in graphite: Julia McDaid 2026") AND set `signature_status` to the matching enum. If the work is clearly unsigned (a positive read, not just absence of evidence), set `signature_status: "unsigned"` — that is a legitimate positive value. Do NOT route signature wording into `description` or a free-form note. Fields to leave alone unless visible: dimensions without scale (cannot be honestly estimated from a flat photo), attribution, provenance, exhibition history — those come from records, not the image. Flow: (1) call this tool; (2) fetch + read the image; (3) present your proposals to the artist with per-field reasoning; (4) on confirmation, call update_work with the accepted patches. Do not write without confirmation. Resolve the work by workId (UUID) or uwi (e.g. "RAI-2026-00417"). Use search_natural_language to find workId. Never ask the user.
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  • WHEN: mapping the technical D365 objects behind a business process, or understanding which tables/forms implement a flow. Triggers: 'processus métier', 'Order-to-Cash', 'Procure-to-Pay', 'Record-to-Report', 'business process flow', 'qui est impliqué dans', 'map the process', 'flux du processus', 'quels objets dans le flux'. Map a D365 F&O business process to its complete object chain. For known processes (Order-to-Cash, Procure-to-Pay, Record-to-Report, Plan-to-Produce, Inventory-Management, Hire-to-Retire, Project-Accounting, Asset-Lifecycle): shows every step with forms, tables, classes, entities, reports, and security roles involved. For any other object name: traces all dependencies (tables, classes, forms, entities) from that entry point. Produces a Mermaid process flow diagram. Use 'list' to see all known process mappings. NOT for a single object's FK relations only -- use `find_related_objects` for that (faster and more precise).
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  • Analyze an image from a component's datasheet using vision AI. Use this when read_datasheet returns a section containing images and you need to extract data from a graph, package drawing, pin diagram, or circuit schematic. Pass the image_key from the read_datasheet response (the storage path in the image URL). Optionally pass a specific question to focus the analysis. IMPORTANT: For precise numeric values (electrical specs, max ratings), prefer read_datasheet text tables first — they are more reliable than vision-extracted graph data. Use analyze_image for visual information not available in text: package dimensions from drawings, pin assignments from diagrams, graph trends, and approximate values from characteristic curves. Examples: - analyze_image(part_number='IRFZ44N', image_key='images/abc123.png') -> classifies and describes the image - analyze_image(part_number='IRFZ44N', image_key='images/abc123.png', question='What is the drain current at Vgs=5V?')
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  • Discover available AI models with numeric IDs, tier labels, capabilities, and per-call pricing in sats. Call this before create_payment to find the right modelId for your task. Returns JSON array: [{ id, name, tier, description, price, isDefault, category }]. Models marked isDefault=true are used when you omit modelId from create_payment. Filter by category to narrow results to a specific tool. This tool is free, requires no payment, and is idempotent — safe to call repeatedly.
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  • Returns information about the supplier network: available destinations, experience categories, booking platforms, and protocol details. Call this before search_slots to understand what regions and activity types are available.
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  • Get a SAMPLE-FIXTURE preview of the PaladinFi token-contract trust check. ⚠️ NOT a real evaluation. Returns fixed sample data with `_preview: true`, every factor marked `real: false`, and recommendation prefixed `sample-` (`sample-allow` / `sample-warn` / `sample-block`). Use this for shape-testing your integration; DO NOT use the verdict to gate real swaps, signing, or any production agent decision. **Programmatic safety check**: before consuming any field of this response, agents should test `resp.get("_real") is True` (top-level) — preview always returns `_real: false`. Substring-matching on `recommendation` (e.g. `"allow" in resp["trust"]["recommendation"]`) will INCORRECTLY match `sample-allow`; use exact-equality (`resp["trust"]["recommendation"] == "allow"`) or test the `_real` field instead.
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  • List all available component types and example configurations for building wiring diagrams. Use this to understand what parameters are needed before calling generate_wiring_diagram.
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  • Colorize black-and-white or grayscale photos. DDColor (dual-decoder, ICCV 2023) — vivid, natural colorization. Impossible for text/vision LLMs. 5 sats per image, pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='colorize_image'.
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  • Edit a file in the solution's GitHub repo and commit. Two modes: 1. FULL FILE: provide `content` — replaces entire file (good for new files or small files) 2. SEARCH/REPLACE: provide `search` + `replace` — surgical edit without sending full file (preferred for large files like server.js) Always use search/replace for large files (>5KB). Always read the file first with ateam_github_read to get the exact text to search for.
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