"A tool for managing tasks and productivity" matching MCP tools:

• task

  Fast.io

  Task management operations. Create and manage task lists and individual tasks within workspaces and shares. Tasks support statuses, priorities, assignees, dependencies, and bulk operations. Responses include `created_by` (user ID of creator). On shares, requires admin or named member role. Destructive actions: delete-list soft-deletes a task list and all its tasks, delete-task soft-deletes a task. Actions & required params: - list-lists: profile_type, profile_id (+ optional: sort_by, sort_dir, limit, offset, format) - create-list: profile_type, profile_id, name (+ optional: description) - list-details: list_id (+ optional: format) - update-list: list_id (+ optional: name, description) - delete-list: list_id [DESTRUCTIVE] - list-tasks: list_id (+ optional: sort_by, sort_dir, status, assignee, limit, offset, format) - create-task: list_id, title (+ optional: description, status, priority, assignee_id, dependencies, node_id) - task-details: list_id, task_id (+ optional: format) - update-task: list_id, task_id (+ optional: title, description, status, priority, assignee_id, dependencies, node_id) - delete-task: list_id, task_id [DESTRUCTIVE] - change-status: list_id, task_id, status - assign-task: list_id, task_id (+ optional: assignee_id) - bulk-status: list_id, task_ids, status - move-task: list_id, task_id, target_task_list_id — move a task to a different list (+ optional: sort_order) - reorder-tasks: list_id, task_ids — reorder tasks within a list - reorder-lists: profile_type, profile_id, list_ids — reorder task lists - filtered-list: profile_type, profile_id, filter (+ optional: status [required when filter=status], limit, offset, format) - summary: profile_type, profile_id (+ optional: format)

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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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• 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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• 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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• platform_tool_finder

  Inferventis MCP Server

  Discovers the most relevant tools available on this MCP server for a given task using local semantic search (MiniLM-L6-v2 embeddings). Accepts a plain-English description of what needs to be accomplished and returns the best matching tools ranked by relevance, along with their input schemas, pricing tier, and exact call instructions. Use this tool first when you are connected to this server but do not know which specific tool to call — describe your goal and let platform_tool_finder identify the right capability. Do not use this tool if you already know the tool name — call that tool directly instead. Returns up to 10 results ranked by semantic similarity score.

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• list_service_categories

  Molt2Meet

  List available categories of physical-world tasks. Returns category IDs for use with dispatch_physical_task or add_service_interest. Any real-world task can be dispatched even without a category. No authentication required. Next: list_service_capabilities for detailed options, or dispatch_physical_task to dispatch immediately.

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• list_tools

  foundation-discovery

  List available MCP tools and get detailed help. Use this tool to discover what tools are available and how to use them. Call without parameters to see all tools, or provide a tool name to get detailed help including parameters, examples, and related tools. Args: tool_name: Optional name of a specific tool to get detailed help for. Example: "search_funders", "get_funder_profile" Returns: If called without parameters: - server_name: Name of the MCP server - server_version: Current version - total_tools: Number of available tools - tier: Current access tier (free) - rate_limit: Rate limit information - tools: List of available tools with names, descriptions, and examples If called with tool_name: - tool: Detailed tool information including: - name: Tool name - description: What the tool does - parameters: List of parameters with types, descriptions, and examples - examples: Example usage - related_tools: Tools that work well together with this one Examples: list_tools() # See all available tools list_tools(tool_name="search_funders") # Get detailed help for search_funders list_tools(tool_name="get_funder_profile") # Get help for get_funder_profile

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• delete_environment

  mcp

  Initiates the deletion of a Cloud Composer environment. This is a destructive action that permanently deletes the environment and cannot be undone. Users should be asked for confirmation before proceeding. This tool triggers the environment deletion process, which is a long-running operation that typically takes 10-20 minutes. The tool returns an operation object. Use the `get_operation` tool with the operation name returned by this tool to poll for deletion status.

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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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• get_guide

  Canvs

  ⚠️ MANDATORY FIRST STEP - Call this tool BEFORE using any other Canvs tools! Returns comprehensive instructions for creating whiteboards: tool selection strategy, iterative workflow, and examples. Following these instructions ensures correct diagrams.

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• GetLEIDetail

  Fintel Discovery — Financial Intelligence for AI Agents

  Retrieve the full GLEIF LEI record for one legal entity using its 20-character LEI code. Returns legal name, registration status, legal address, headquarters address, managing LOU, and renewal dates. Use this tool when: - You have a LEI (from SearchLEI) and need full entity details - You want to verify the registration status and renewal date - You need the exact legal address and jurisdiction of an entity Source: GLEIF API (api.gleif.org). No API key required.

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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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• list_earning_opportunities

  Swarm Tips — Aggregated AI Agent Activities

  [READ] Aggregated list of earning opportunities across the swarm.tips ecosystem. Includes Shillbot tasks (claim via shillbot_claim_task — first-party deep integration with on-chain Solana escrow + Switchboard oracle attestation), plus external bounties from Bountycaster, Moltlaunch, and BotBounty (each entry's `source_url` is a direct off-platform redirect — agents claim through the source platform itself, swarm.tips does not mediate). Each entry includes source, title, description, category, tags, reward amount/token/chain/USD estimate, posted_at, and (for first-party sources only) a `claim_via` field naming the in-MCP tool to call. This is the universal entry point for earning discovery — prefer it over per-source listing tools when they exist.

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• platform_tool_finder

  Inferventis — Financial Data, News & Web MCP

  Discovers the most relevant tools available on this MCP server for a given task using local semantic search (MiniLM-L6-v2 embeddings). Accepts a plain-English description of what needs to be accomplished and returns the best matching tools ranked by relevance, along with their input schemas, pricing tier, and exact call instructions. Use this tool first when you are connected to this server but do not know which specific tool to call — describe your goal and let platform_tool_finder identify the right capability. Do not use this tool if you already know the tool name — call that tool directly instead. Returns up to 10 results ranked by semantic similarity score.

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• ado_query_workitems

  ALM X++ MCP Server

  AZURE DEVOPS ONLY -- Query Work Items (Bugs, Tasks, FDDs, User Stories, CRs) in Azure DevOps. [~] PRIORITY TRIGGER: use this tool when the user mentions 'FDD', 'RDD', 'IDD', 'CR', 'Task', 'Workitem', 'Work Item', 'Bug', 'User Story', 'Feature', 'Issue', 'ticket', 'sprint', 'backlog', 'DevOps', 'liste des tâches', 'show tasks', 'find bugs', '#1234', 'WI#'. NEVER use this tool for: D365 labels (@SYS/@TRX), X++ code, AOT objects, tables, classes, forms, enums, error messages, 'c\'est quoi le label', 'search_labels', 'libellé', 'label D365'. For labels -> use search_labels. For D365 code -> use search_d365_code or get_object_details. Shortcuts: 'bugs' (all active bugs), 'my bugs' (assigned to me), 'recent' (updated last 7 days), 'sprint' (current iteration). Or pass any WIQL SELECT statement or a free-text title search. Use '*' with filters only. Returns max 50 work items with ID, title, type, state, priority, area, assigned-to. Requires DEVOPS_ORG_URL + DEVOPS_PAT env vars.

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• search_endpoints

  Fiber AI

  Canonical API selection tool for endpoint discovery and ranking. Use this first to get the top recommended operations for a user intent. Supports optional constraints plus tag-scoped selection via preferredTags, excludedTags, or a curated tagPack key.

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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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• fileInternalNotFairToolFeedback

  NotFair-MetaAds

  Internal NotFair tool-feedback channel. Privately report MCP/tool friction that got in the way of helping the user — unclear descriptions, missing capabilities, clunky workflows, confusing errors, or duplicate tools. This is not customer support, not user feedback, and not a success/quality rating. It is an internal NotFair engineering signal. When tool design gets in the way of a real user task, file one concrete report here so we can fix the tool surface. The user benefits in their next session; every other agent serving every other user benefits too. AUTO-SURFACE THIS WHEN: - A tool description was unclear and you weren't sure how to use it. - You wanted to accomplish something for the user but no tool existed for it. - A workflow took many tool calls when one bulk operation could have replaced them. - An error message returned by a tool didn't help you debug or recover. - Two tools have overlapping purposes and the choice was confusing. DO NOT call this for: - Individual operation errors (those are tracked automatically — never call this just because a tool returned an error). - Confirming that a task succeeded. - Rating your own output quality. - Anything the user explicitly asked you to escalate (use the in-app feedback form for that). Be specific. Reference tools by name and propose a concrete change. Keep yourself to at most 2 calls per session. Submissions go directly to the NotFair team; the user does not see this channel.

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• investigate_question

  VaultCrux Memory Core

  Composite server-side investigation tool. Pass a question and the server automatically: (1) detects intent (aggregation/temporal/ordering/knowledge-update/recall), (2) queries the entity index for structured facts, (3) builds a timeline for temporal questions, (4) retrieves memory chunks with the right scoring profile, (5) expands context around sparse hits, (6) derives counts/sums for aggregation, (7) assesses answerability, and (8) returns a recommendation. Use this as your FIRST tool for any non-trivial question — it does the multi-step investigation that would otherwise take 4-6 individual tool calls. The response includes structured facts, timeline, retrieved chunks, derived results, answerability assessment, and a recommendation for how to answer.

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• atlas_advisor_chat

  CareerProof MCP

  Send a message to Atlas Advisor for lightweight hiring advice (2 credits). Faster and cheaper than atlas_chat, no tool use -- best for general hiring questions. Returns AI response text and a conversation_id. Omit conversation_id to start a new conversation; include it to continue a thread.

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