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559,669 tools. Updated 2026-09-13 11:30

"ImageJ" matching MCP tools:

  • Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>
    ConnectorNo auth
  • Send an image to this hosted endpoint. There is no filesystem here, so instead of a path you upload the file once with image_upload and then pass its name as `path` (or inside `paths`) to image_info, image_resize, image_convert, image_compress, image_crop, image_thumbnails, image_batch_resize and image_dominant_colors. PNG, JPEG, BMP, GIF and TIFF are accepted and the format is read from the file's magic bytes, not from the name. Give exactly one of image_base64 or url. url: fetch a public file instead of pasting base64 (recommended above about 10 KB): writing out a real photo as base64 is a long tool call and 50 KB or more can stall the turn before the upload is sent, while a url costs one line and the fetch happens here (10 second timeout, at most 3 redirects, public http(s) hosts only, 2 MB cap). Uploads are kept for your token between calls; image_files lists them and image_delete_upload removes one. A file this server writes is named the same way and comes back as a download link valid for one hour, served with the real image content type. The request body cap is 256 KB, which is about 190 KB of image once base64-encoded.
    ConnectorNo auth
  • Edit an existing image or compose several images into one scene with Muse Image. The user or agent passes stored file names from files.list_uploaded_files and/or public http or https image URLs. One image is an edit; several images are composed into one result. The result is saved to account file storage. The response includes a signed URL for API users and download_code for agents to run `vee3-get-file`. Cost = 50 tokens per generated image.
    ConnectorNo auth
  • FluxInk image text recognition. Extract text from an EXISTING image (file upload, URL, or base64) the user provides. Higher accuracy than built in vision for tightly packed text, multi language documents, math, and LaTeX. Returns per region confidence and detection coordinates. Use this when the user uploads, attaches, or shares an image containing text they want extracted (screenshot, photo, scanned document, receipt, sign, whiteboard, book page, photographed handwritten notes). Use this when the user wants a photographed math expression or chemistry formula converted to LaTeX. Use this when the user references an image and asks to read, transcribe, or digitize the text in it. Do NOT use this when the user has NOT provided an image yet. Do NOT use this when the user wants to draw or handwrite something fresh (call show_handwriting_canvas instead). Do NOT use this when the request is a plain text question, summary, or explanation with no image attached. The language parameter selects the recognition mode. en is English text (default). zh is Chinese text. paddle is multilingual or mixed text. formula is mathematics. latex returns raw LaTeX markup. After returning results, present the extracted text clearly and offer follow up actions like translation, summarization, or editing.
    ConnectorNo auth
  • Returns the current BeeIMG free-plan limits, premium perks, and upgrade links. Call this when an upload fails with a rate limit, storage limit, or file-too-large error to advise the user about upgrading.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    Enables AI agents to control Fiji/ImageJ for microscopy image analysis through natural language commands, supporting operations like image opening, filtering, particle analysis, and automated workflows.
    19
    2
    BSD 3-Clause
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables installing, configuring, and running modular MCP servers for biology, bioinformatics, and bioimaging tasks, including local image analysis, ImageJ/Fiji bridging, and LLM-based agent workflows.
    MIT

Matching MCP Connectors

  • Combine multiple images into a single PDF document. (Browser-based tool)
    ConnectorNo auth
  • Text prompt → a generated image, returned as a hosted URL you can embed straight into Markdown, HTML or a chat reply. Use it for illustrations, covers, concept art, social cards and mockups. Returns a job_id; poll check_job for the image url (about 1 minute). The beta platform covers the user charge ($0.00); capacity is rate-limited.
    ConnectorNo auth
  • Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.
    ConnectorNo auth
  • Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
    ConnectorNo auth
  • MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link.
    ConnectorNo auth
  • Check health status of Image API services and loaded models. Returns: dict with keys: - status (str): 'healthy' or error state - models (dict): Loaded model status per capability - version (str): API version
    ConnectorNo auth
  • ✅ No API key needed — call this now. Navigator for the full A2AWire tool surface. Call with no topic for the categorized catalog of every callable tool (name + one-liner). Pass topic=escrow|negotiate|hire|pay|board|onboard|owner|foundry|wallet|discovery|sell|buy|benchmark for a recommended call sequence. Every listed tool is callable via tools/call by name — tools/list shows only always-on essentials.
    ConnectorNo auth
  • Report this endpoint's licence state for your token as JSON: the product, the tier free or pro, why it is not Pro, and the checkout URL. Call it to explain a free-tier refusal. No arguments, nothing changes.
    ConnectorNo auth
  • Render HTML and CSS into a PNG image, or into an A4 vector PDF with format "pdf". Provide complete, self-contained HTML and put styles in an inline <style> block. Remote image URLs load if they are real and publicly accessible; embed generated or local images as base64 data URIs rather than inventing URLs. Returns the rendered image plus a shareable CDN URL; PDF renders return the URL only. Consumes one credit per call.
    ConnectorNo auth
  • The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.
    ConnectorNo auth
  • Generate an image from a text prompt and return it inline. The image is sent back as an image content block: clients that render images (e.g. desktop apps) display it, and the model can see it. This bills the authenticated user for the generation.
    ConnectorOAuth