"A query about tasks" matching MCP tools:

• search_blog

  Sovereign AI Blog

  Search the Sovereign AI Blog for articles matching a natural language query, optionally filtered by tag and sorted by relevance or date. Behaviour matrix: - query='', sort=* -> list newest-first, optionally tag-filtered - query!='', sort=relevance -> TF-IDF ranked, optionally tag-filtered - query!='', sort=date_desc -> TF-IDF filtered (score > 0.001), then sorted by date Pure read-only, deterministic for a given KB snapshot.

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• query_tasks

  cnvs.app

  Read tasks from a 'todo' board with server-side filtering — handy for 'what's overdue?' / 'what's assigned to X?' without pulling the whole board. All filters are optional and AND together: `assignee` (exact match), `priority` ('H'|'M'|'L'), `done` (boolean), `overdue` (true → due_date strictly before today, not done), `due_before` / `due_after` (ISO date window on due_date). Returns `{ boardId, mode, tasks }` — tasks ordered by sort, each with the same fields as `list_tasks`.

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• get_faq

  mcp-server

  Search RealOpen's frequently asked questions by keyword and/or category. Use this when a user asks a specific question about RealOpen's process, security, timing, taxes, closing, proof of funds, or other product details — returns up to 20 matching entries. When no entries match, responds with the list of available categories so the caller can refine the query. Prefer this over guessing from general knowledge.

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• baselight_sdk_query_execute

  baselight

  Execute a SQL query on Baselight and wait for results (up to 1 minute). The query executes and returns the first 100 rows upon completion, or info about a pending query that needs more time. Use DuckDB syntax only, table format "@username.dataset.table" (double-quoted), SELECT queries only (no DDL/DML), no semicolon terminators, use LIMIT not TOP. If query is still PENDING, use `sdk-get-results` to continue polling. If totalResults > returned rows, use `sdk-get-results` with offset to paginate.

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• em_batch_create_tasks

  Execution Market

  Create multiple tasks in a single operation with escrow calculation. ⚠️ **WARNING**: This tool BYPASSES the standard payment flow by calling db.create_task() directly instead of using the REST API (POST /api/v1/tasks). This means it skips x402 payment verification and balance checks. For production use, tasks should be created via the REST API to ensure proper payment authorization and escrow handling. Supports two operation modes: - ALL_OR_NONE: Atomic creation (all tasks or none) - BEST_EFFORT: Create as many as possible Process: 1. Validates all tasks in batch 2. Calculates total escrow required 3. Creates tasks (atomic or best-effort) - **BYPASSING PAYMENT FLOW** 4. Returns summary with all task IDs Args: params (BatchCreateTasksInput): Validated input parameters containing: - agent_id (str): Your agent identifier - tasks (List[BatchTaskDefinition]): List of tasks (max 50) - payment_token (str): Payment token (default: USDC) - operation_mode (BatchOperationMode): all_or_none or best_effort - escrow_wallet (str): Optional custom escrow wallet Returns: str: Summary of created tasks with IDs and escrow details.

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• em_get_tasks

  Execution Market

  Get tasks from the Execution Market system with optional filters. Use this to monitor your published tasks or browse available tasks. Args: params (GetTasksInput): Validated input parameters containing: - agent_id (str): Filter by agent ID (your tasks only) - status (TaskStatus): Filter by status (published, accepted, completed, etc.) - category (TaskCategory): Filter by category - limit (int): Max results (1-100, default 20) - offset (int): Pagination offset (default 0) - response_format (ResponseFormat): markdown or json Returns: str: List of tasks in requested format. Examples: - Get my published tasks: agent_id="0x...", status="published" - Get all completed tasks: status="completed" - Browse physical tasks: category="physical_presence"

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• general_search

  Nansen

  General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)

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• query

  Overpass

  Run a raw Overpass QL query against OpenStreetMap. Use for complex spatial queries the helper tools can't express. Example: `[out:json][timeout:25]; area["name"="Berlin"][admin_level=4]->.a; node["amenity"="library"](area.a); out body;`. Returns the raw Overpass JSON (elements array with node/way/relation).

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• tascan_add_tasks

  TaScan

  Add one or more tasks to an event (task list). Supports bulk creation. IMPORTANT: Set response_type correctly — use "text" for info collection (names, phones, emails, notes), "photo" for visual verification (inspections, serial numbers, damage checks), "checkbox" only for simple confirmations. NOTE: To dispatch tasks to the Claude Code agent running on Mike's PC, use tascan_dispatch_to_agent instead — it routes directly to the agent's inbox with zero configuration needed.

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• update_tasks

  Plate

  Update multiple existing tasks in one action. Use this instead of calling update_task multiple times when the user asks to change several tasks at once. All updates are applied atomically.

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• list_tasks

  NeedHuman

  Use when you have lost track of a task_id or want to review your past human task requests. Returns all tasks you have submitted, newest first: id, status, description, result, and timestamps.

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• search_blog

  self-hosted-ai

  Search the Sovereign AI Blog for articles matching a natural language query, optionally filtered by tag and sorted by relevance or date. Behaviour matrix: - query='', sort=* -> list newest-first, optionally tag-filtered - query!='', sort=relevance -> TF-IDF ranked, optionally tag-filtered - query!='', sort=date_desc -> TF-IDF filtered (score > 0.001), then sorted by date Pure read-only, deterministic for a given KB snapshot.

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• em_batch_create_tasks

  execution-market-mcp

  Create multiple tasks in a single operation with escrow calculation. ⚠️ **WARNING**: This tool BYPASSES the standard payment flow by calling db.create_task() directly instead of using the REST API (POST /api/v1/tasks). This means it skips x402 payment verification and balance checks. For production use, tasks should be created via the REST API to ensure proper payment authorization and escrow handling. Supports two operation modes: - ALL_OR_NONE: Atomic creation (all tasks or none) - BEST_EFFORT: Create as many as possible Process: 1. Validates all tasks in batch 2. Calculates total escrow required 3. Creates tasks (atomic or best-effort) - **BYPASSING PAYMENT FLOW** 4. Returns summary with all task IDs Args: params (BatchCreateTasksInput): Validated input parameters containing: - agent_id (str): Your agent identifier - tasks (List[BatchTaskDefinition]): List of tasks (max 50) - payment_token (str): Payment token (default: USDC) - operation_mode (BatchOperationMode): all_or_none or best_effort - escrow_wallet (str): Optional custom escrow wallet Returns: str: Summary of created tasks with IDs and escrow details.

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• general_search

  Nansen

  General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)

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• search_products

  TrustRails

  HOW TO CALL THIS TOOL — read before every call: Decompose the user's request into filters first. Only what's left over goes in query. STEP 1: brand name → brand filter. STEP 2: product category → category filter. STEP 3: price → min_price/max_price. STEP 4: what remains → query. BAD: query='Sony headphones under £200' | GOOD: brand='Sony', category='Headphones', max_price=200, no query. BAD: query='tablet' | GOOD: category='Tablets', no query. BAD: query='smartwatch' | GOOD: category='Wearables', no query. BAD: query='macbook neo' | GOOD: brand='Apple', category='Laptops', query='neo'. BAD: query='Samsung QLED TV' | GOOD: brand='Samsung', category='TVs', query='qled'. If brand+category alone cover what the user wants, omit query entirely. Only put differentiating terms in query: model lines (neo, ultra, oled), variants, model numbers (WH-1000XM5, s25 ultra). CROSS-CATEGORY NOTE: Gaming headsets → category='Headphones', query='gaming headset'. The Gaming category is consoles/controllers/accessories only. Always set lite=true. If 0 results, broaden the query or drop filters. Use get_product for full specs. Search 26,000+ deduplicated UK electronics products across multiple retailers with price comparison. Covers: Laptops, Desktops, Phones, Tablets, Headphones, Monitors, TVs, Cameras, Keyboards, Mice, Speakers, Gaming, Wearables, Printers, Networking, Storage, Audio, Drones, Cables & Chargers. All prices in GBP. Returns summary data: title, brand, price, availability, category, purchase link, offer_count. MANDATORY PRICE COMPARISON: For any product relevant to the user's needs, if offer_count > 1, you MUST call get_product before responding — never mention multiple offers without presenting the full comparison. A response is incomplete if it references offer_count > 1 without retailer pricing details. Show: cheapest retailer, all other prices with the difference, exact savings amount, delivery differences if relevant. The offers[] array is sorted cheapest first. Even when the user doesn't explicitly ask about price, if offer_count > 1 it's always worth mentioning the savings. For spec-based queries (RAM, ports, screen size, weight etc.), search first then call get_product on top 3-5 results — do not assume specs from titles. STOCK: When availability is out_of_stock, mention it as an alternative and suggest checking back — do not silently omit it.

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• shillbot_list_available_tasks

  Swarm Tips — Aggregated AI Agent Activities

  [READ] List open Shillbot marketplace tasks. Agents can browse content creation opportunities (YouTube Shorts, X posts, etc.) with on-chain escrow. Returns task IDs, briefs, payment amounts, and platforms. Shillbot-specific deep query with brief/blocklist/brand-voice details — for cross-source aggregated discovery use list_earning_opportunities instead. Optional `network`: 'mainnet' (default) or 'devnet'.

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• get_user_profile

  anamnese

  PRIMARY TOOL - Call this at the START of every conversation to load comprehensive user context. Returns: - current_datetime: Current date and time in the user's timezone (ISO 8601 with offset) - All active facts about the user (preferences, personal info, relationships) - tasks_overdue: Tasks with scheduled_date OR deadline in the past - tasks_today: Tasks scheduled OR due today (time >= now), plus unscheduled tasks (no date set) - tasks_tomorrow: Tasks scheduled OR due tomorrow (includes projected recurring tasks) - Active goals - Recent moments from the last 5 days - Latest 15 user-facing notes (id + description). Use get_note to retrieve full content. - ai_memory: Latest 15 AI memory notes from your previous sessions (id + description). Use get_note to retrieve full content. SELF-LEARNING: Review the ai_memory array — these are notes you saved in previous sessions about how to best assist this user. Load relevant ones with get_note. Throughout the conversation, save new learnings anytime via save_note with scope="ai_client" whenever you discover something worth remembering. - tasks_recently_completed: Tasks completed or skipped in the last 7 days Each task includes: - category_reason: 'scheduled' | 'deadline' | 'both' - explains why it's in that array - has_scheduled_time: true if task has a specific scheduled time, false if all-day - has_deadline_time: true if deadline has a specific time, false if all-day Task placement uses scheduled_date when present, otherwise deadline. Each task appears in exactly one category. For calendar events, the user should connect a calendar MCP (Google Calendar MCP, Outlook MCP) in their AI client. Query those MCPs alongside Anamnese for a complete daily view. This provides essential grounding for personalized, context-aware conversations.

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• tasks

  aX

  Manage tasks. Create, list, update, and track work items. Actions: - list: List tasks (use filter='my_tasks' for assigned tasks) - create: Create a new task (requires title) - update: Update a task (requires task_id) - get: Get a specific task (requires task_id) - nudge: Fire the task's reminder to its assignee right now (requires task_id). Works even while recurring reminder delivery is paused and does not consume the reminder policy's max_count budget. Reminder scheduling uses the canonical widget contract: reminder_action="schedule" with reminder_cadence_minutes/next_fire_at, or reminder_action="cancel" to turn reminders off. The widget can pass top-level snoozed_until/next_fire_at for snooze updates. Top-level snoozed_until is intentionally ignored when reminder_action is set so schedule/cancel writes stay unambiguous. Legacy backend readback fields such as next_reminder_at are still normalized into reminder.next_fire_at.

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• baselight_sdk_get_results

  baselight

  Retrieve results from a previously executed SDK job using the resultId from `sdk-query-execute`. If the query is complete, returns results immediately. If still pending, polls for up to 1 more minute. Use this after `sdk-query-execute` returns PENDING status.

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• get_wallet_balance

  Molt2Meet

  Get your wallet balance for a specific currency. Default currency resolution when omitted: (1) if you pass currency explicitly it's honored, (2) if you have exactly one wallet that one is used, (3) otherwise the currency of your most recently created task. No stale USD default. Returns four numbers — understand them before funding a task: totalFunded = lifetime credit ever added to this wallet (gross deposit history). pendingBalance = funds the platform expects from in-flight PSP payments / bank transfers but has not yet confirmed (e.g. checkout in progress, IBAN deposit unreconciled). reservedBalance = funds earmarked for tasks that are quoted but not yet fully funded (soft hold). lockedBalance = funds in escrow for active tasks (Funded → ProofUploaded → UnderReview); released to the operator on approve, refunded on reject/cancel. availableBalance = totalFunded − reservedBalance − lockedBalance − pendingBalance — this is what you can spend on new tasks RIGHT NOW. The response also includes a 'locks' array breaking down lockedBalance into per-task entries (taskId, taskTitle, taskStatus, lockedAmount, lockedAt) so you know exactly which tasks are holding your funds. Use this before fund_task to verify you have sufficient available funds. For all currencies at once, use list_wallets. Requires authentication.

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