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649,985 tools. Updated 2026-10-12 04:10

"Connect to RemNote AI to edit learning flashcards" matching MCP tools:

  • Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.
    ConnectorNo auth
  • Check the latest AI edit progress for a project using its project identifier — no session key needed: the project id retrieves the session holding the latest edit. Use when the user asks whether their edit is finished, when the session key isn't available (e.g. a new conversation), and BEFORE starting any new edit. Returns (actual fields): 'session_key=' (the identifier of the session this progress comes from), 'edit_active=', 'run_status=', 'chunks=' (output size so far), optional 'recent_output (tail):', and a terminal 'result:' line: finished (with the final output tail), 'the edit was NOT started: <reason>' (rejected early, e.g. HTTP 402 insufficient credits), 'stream error', or 'no run is currently active'. run_status values: queued | running | cancel_requested | completed | failed | cancelled | interrupted | unknown. Distinct from dreamagent_get_project_status: project status = creation/deployment state (creating/ready/failed); edit progress = current AI modification state; chat status (dreamagent_get_chat_status) monitors one specific session by its session key. If edit_active is true, do NOT launch another edit for the same project.
    ConnectorNo auth
  • Check the latest AI edit progress for a project using its project identifier — no session key needed: the project id retrieves the session holding the latest edit. Use when the user asks whether their edit is finished, when the session key isn't available (e.g. a new conversation), and BEFORE starting any new edit. Returns (actual fields): 'session_key=' (the identifier of the session this progress comes from), 'edit_active=', 'run_status=', 'chunks=' (output size so far), optional 'recent_output (tail):', and a terminal 'result:' line: finished (with the final output tail), 'the edit was NOT started: <reason>' (rejected early, e.g. HTTP 402 insufficient credits), 'stream error', or 'no run is currently active'. run_status values: queued | running | cancel_requested | completed | failed | cancelled | interrupted | unknown. Distinct from dreamagent_get_project_status: project status = creation/deployment state (creating/ready/failed); edit progress = current AI modification state; chat status (dreamagent_get_chat_status) monitors one specific session by its session key. If edit_active is true, do NOT launch another edit for the same project.
    ConnectorNo auth
  • Edit an existing video from a prompt, or transfer motion onto a subject image. Pass the source in video_url and the change in prompt. Defaults to Google Gemini Omni video edit; switch with model ('kling-edit', 'wan-edit', or 'motion-control' for Kling motion transfer with a subject image in image_urls). This is for changing an existing clip — to make a new video from scratch use generate_video, to extend one use extend_video, to upscale use upscale_media. Returns the video URL.
    Connector
    Destructive
    No auth
  • Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.
    ConnectorNo auth
  • Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.
    12
    15 npm
    1
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
    2
    MIT

Matching MCP Connectors

  • Remote MCP server for converting PDFs and scanned documents to Markdown with OCR, and Markdown to PDF. Provides asynchronous conversion jobs, result retrieval, and usage checks; requires a PDF to MD API key.

  • Extract structured JSON from any document: invoices, receipts, contracts, purchase orders, bills. Auto-detects type and returns vendor, customer, line items, totals.

  • Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.
    ConnectorNo auth
  • Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.
    ConnectorNo auth
  • Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.
    ConnectorNo auth
  • Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.
    ConnectorNo auth
  • Saves flashcards that the user provided or that you wrote together as a deck in the user's NextLang account, for free (no credits). Use it to turn a word list, a table or an export the user pasted into a deck. Each card's front is in learningLanguage and its back is the translation in translationLanguage. If the user did not say which language they are learning, it is the foreign-language side of the list, not the side in the language they are chatting in; ask when that is unclear, and swap each pair so the front is in learningLanguage. Repeated fronts are dropped and reported as skipped. For an .apkg (Anki) or .mochi (Mochi) file, call get_deck_file next; for Quizlet and Brainscape, give the deck link. When the user wants NextLang to write the cards on a topic, use generate_deck instead. A deck is for a flashcard app; to add words to the user's NextLang review schedule, so they come up when the user asks to be quizzed, use add_vocabulary_items instead.
    ConnectorOAuth
  • WRITE ACTION — builds, modifies, or fixes an EXISTING project with a natural-language instruction. Use ONLY when the user clearly asks for a change ("add X", "fix Y", "change the theme"). If the user is only asking for advice, analysis, review, or suggestions ("what could be improved?", "review my bot"), do NOT call this — answer from the project's info instead; a review request is not an edit. Describe ONLY the desired change — DreamAgent's AI automatically handles code, tests, rebuild, and redeployment. Completed changes are saved and committed automatically. ASYNCHRONOUS: returns immediately with the session_key; monitor with dreamagent_get_edit_progress (or dreamagent_get_chat_status with the returned session key) until a terminal state. Report success only after run_status reaches 'completed'. Edits consume the user's AI credits. ERRORS (actual returns): failures come back as text starting with 'ERROR:'. If the edit was rejected before starting, the text says 'the edit was NOT started' plus the reason — HTTP 402 insufficient credits, 409 another edit already active, 423 session lock held by another session, 404 wrong project id, 401 no account connected. Treat the edit as failed/cancelled only when a status tool says so. ONE EDIT AT A TIME: never start another modification on the same project while one is running — check progress first and wait. SUPERPOWERS: projects can use the account's enabled AI tools (song/video/image generation, voiceover, lip sync, voice clone, transcription, media processing, PDF tools). If the user asks to add or use one ("add song generation", "generate an image feature"), simply include that in the message — DreamAgent's agent knows the enabled tools and wires the integration, UI and job handling automatically. Check the catalog with dreamagent_list_superpowers; if a tool is disabled, direct the user to dreamagent.cloud -> Superpowers to enable it first.
    ConnectorNo auth
  • WRITE ACTION — builds, modifies, or fixes an EXISTING project with a natural-language instruction. Use ONLY when the user clearly asks for a change ("add X", "fix Y", "change the theme"). If the user is only asking for advice, analysis, review, or suggestions ("what could be improved?", "review my bot"), do NOT call this — answer from the project's info instead; a review request is not an edit. Describe ONLY the desired change — DreamAgent's AI automatically handles code, tests, rebuild, and redeployment. Completed changes are saved and committed automatically. ASYNCHRONOUS: returns immediately with the session_key; monitor with dreamagent_get_edit_progress (or dreamagent_get_chat_status with the returned session key) until a terminal state. Report success only after run_status reaches 'completed'. Edits consume the user's AI credits. ERRORS (actual returns): failures come back as text starting with 'ERROR:'. If the edit was rejected before starting, the text says 'the edit was NOT started' plus the reason — HTTP 402 insufficient credits, 409 another edit already active, 423 session lock held by another session, 404 wrong project id, 401 no account connected. Treat the edit as failed/cancelled only when a status tool says so. ONE EDIT AT A TIME: never start another modification on the same project while one is running — check progress first and wait. SUPERPOWERS: projects can use the account's enabled AI tools (song/video/image generation, voiceover, lip sync, voice clone, transcription, media processing, PDF tools). If the user asks to add or use one ("add song generation", "generate an image feature"), simply include that in the message — DreamAgent's agent knows the enabled tools and wires the integration, UI and job handling automatically. Check the catalog with dreamagent_list_superpowers; if a tool is disabled, direct the user to dreamagent.cloud -> Superpowers to enable it first.
    ConnectorNo auth
  • Edit a wiki page. Appends a revision; nothing is overwritten. For a long page, ``section=N`` replaces one section and ``append=true`` adds to the end, so neither needs the whole body sent back; every other rule is the same as a whole-page edit's. Only the arguments you pass change. Pass ``base_revision`` (the ``revision_count`` you read) to have a concurrent edit refused with CONFLICT rather than replaced, as ``PUT /api/v1/wiki/{slug}`` does; without it the edit is last-write-wins. No edit is lost from the record either way: ``colony_wiki_history`` recovers an overwritten one. A locked page refuses every edit regardless of who is asking. An edit cannot empty a page (use ``colony_delete_wiki_page`` to remove one, or ``colony_revert_wiki_page`` to undo an edit), and a call that names none of ``title``, ``content`` or ``category`` is refused. An edit that changes nothing writes nothing: the page comes back with ``"unchanged": true`` and the same ``revision_count``.
    ConnectorNo auth
  • Edit a wiki page. Appends a revision; nothing is overwritten. For a long page, ``section=N`` replaces one section and ``append=true`` adds to the end, so neither needs the whole body sent back; every other rule is the same as a whole-page edit's. Only the arguments you pass change. Pass ``base_revision`` (the ``revision_count`` you read) to have a concurrent edit refused with CONFLICT rather than replaced, as ``PUT /api/v1/wiki/{slug}`` does; without it the edit is last-write-wins. No edit is lost from the record either way: ``colony_wiki_history`` recovers an overwritten one. A locked page refuses every edit regardless of who is asking. An edit cannot empty a page (use ``colony_delete_wiki_page`` to remove one, or ``colony_revert_wiki_page`` to undo an edit), and a call that names none of ``title``, ``content`` or ``category`` is refused. An edit that changes nothing writes nothing: the page comes back with ``"unchanged": true`` and the same ``revision_count``.
    ConnectorNo auth
  • Use this to create or edit an AI image. Text-to-image from a prompt, OR image-to-image / editing / multi-reference by passing input_images (URLs, data URIs, or base64) — e.g. edit or restyle an image the user just generated by passing its URL. Input support is per-model: some take 1 image, some several, some none (check each model's max_input_images via list_models). Submits an async job and returns a job_id — then call check_generation_status to poll (usually ready in seconds); when complete it returns the finished image inline for you to display. Each call starts a new job that spends credits from the user's BudgetPixel balance (failed jobs aren't charged). Default model: seedream-5.0-pro; call list_models to see every available model with prices and input limits.
    Connector
    Destructive
    No auth
  • In-chat Vilix help. Call this when the user asks what Vilix is, how to connect a specific AI tool, how to use Vilix day to day, or about the discount / creator offer — and relay the returned `text` (it's written to be read to the user). The agent is the main onboarding surface, so prefer answering here over sending the user to a website. Returns one topic's short, chat-sized answer with a plain-text `text` you can always read out, plus structured fields a guide-card UI can render: relevant `assets` (connect/demo links), `tools` (connectable tools), and the creator-`offer` state. For "how do I make this automatic" the answer points you at the get_setup_instructions tool — call that for the exact paste-in block. `topic` (optional) — what the user is asking about: "overview" (what Vilix is / how to use it, the default), "connect", "using_daily", "make_it_automatic", or "offer" (the creator discount). Free-form labels are accepted and mapped. `tool` (optional) — the AI tool the question is about (e.g. "ChatGPT", "Cursor"), to scope connect / asset links. `viewed` (optional) — log a downstream interaction with what you surfaced: "asset_viewed" when the user opens a demo link, or "custom_instructions_copied". Omit otherwise.
    ConnectorOAuth
  • Attach a file to an issue: pass its bytes as 'contentBase64', or its content as 'text' when the file is text. Attaching a filename the issue already has replaces that file rather than adding a second copy, so retrying this call cannot double it. A file on the person's own disk — a screenshot, a PDF — is better attached by path through the pm-files MCP server than typed out as base64; local_files_setup says how to connect it. Returns the attachment's download URL. Requires permission to edit issues in that project.
    ConnectorNo auth
  • DESTRUCTIVE — stops an AI edit that is currently running. Use ONLY when the user explicitly asks to stop/cancel the active edit. After cancellation, do NOT claim the requested change was completed — report that it was stopped. Returns 'Cancellation requested: <backend message>' — e.g. 'Query cancelled', 'Cancellation requested' (durable run), or 'No active query found'. Afterwards poll dreamagent_get_chat_status / dreamagent_get_edit_progress until run_status reports 'cancelled'.
    Connector
    Destructive
    No auth
  • DESTRUCTIVE — stops an AI edit that is currently running. Use ONLY when the user explicitly asks to stop/cancel the active edit. After cancellation, do NOT claim the requested change was completed — report that it was stopped. Returns 'Cancellation requested: <backend message>' — e.g. 'Query cancelled', 'Cancellation requested' (durable run), or 'No active query found'. Afterwards poll dreamagent_get_chat_status / dreamagent_get_edit_progress until run_status reports 'cancelled'.
    Connector
    Destructive
    No auth