10 actions in 1 pieces of software · ranked by words, meaning and measured trust · 704 ms
MCP serverrecord
- knowledge_query
Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most
- agents_ask
Send a message to an AI agent and get its response. The agent runs with its configured prompt, tools, and knowledge. Use this to test agents or have them process a task. Returns: {status: 'replied'|'silent', response_text, messages[], full_reply, model_used, tokens_*, send_mode, execution_mode, to
- browser_handle_dialog
Respond to a pending JS dialog (alert/confirm/prompt). Pass accept=true for OK or false for Cancel. For prompt() dialogs also pass prompt_text. Dialogs are queued at page-open time; returns {pending: false} if none is waiting.
- android_type
Type text on the Android device keyboard.
- browser_open
Open a URL in a remote browser. Saved login cookies are auto-attached when the URL domain matches a claimed browser identity. Pass identity_name to override auto-matching or force a specific identity.
- android_tap
Tap on the Android device screen at specified coordinates. Coordinates are in device pixels.
- calls_dispatch_agent
Send a workspace AI agent into a live call — ONE tool for every surface; `target` decides where: a Google Meet or Microsoft Teams link → meeting bot; a Telegram @group / t.me link / chat_id / t.me/call slug → Telegram group voice chat or conference; 'new' → creates a NEW Telegram conference call and
- vision_query
Look at the screen currently being shared in a meeting and answer a question about it. Returns a natural-language answer based on the visual content. Use ONLY when the user explicitly asks about the screen/slide/document being shown.
- agents_create
Create a new AI agent in the workspace. Execution modes: - ai_assisted (default): Two-phase AI — fast pre-classifier (Haiku) for keyword filtering and simple replies, then full AI with tools for complex messages. - agentic: Autonomous multi-step agent with planning and tool execution. - rule_based:
- knowledge_gaps_answer
Answer a question from knowledge.gaps_list. Your title and answer are published as a knowledge article the asking agents will find next time; nothing is sent to the customer. Answering again replaces the previous answer.
- knowledge_query
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.