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458,114 tools. Updated 2026-08-14 23:05

"Improving Cursor Functionality with Structured Plans and Multi-Step Tasks" matching MCP tools:

  • Initiates a multi-step AI research workflow that performs web searches, deep analysis, and structured reporting. Returns a session ID to monitor progress until completion.
    MIT
  • Converts natural language queries into multi-step SQL analysis plans and executes them against databases to answer complex analytical questions.
    MIT
  • Runs natural-language design intents through an orchestrator that classifies, plans, and executes multi-step workflows.
    MIT
  • Apply step-by-step reasoning with web grounding to complex questions. Ideal for math, logic, comparisons, and multi-step arguments. Returns reasoned answers with numbered citations. Supports recency, domain, and search context filters.
    MIT
  • Find step-by-step MCP tutorials for installing, configuring, comparing, and building servers to solve setup issues with clients like Claude, Cursor, and Cline.
    MIT

Matching MCP Servers

  • A
    license
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    quality
    D
    maintenance
    MCP server providing managed persistent memory for AI agents. Read and write structured state across sessions, tools, and restarts at 1000+ requests per second, with no infrastructure to self-host or operate.
    2
    Apache 2.0

Matching MCP Connectors

  • Zoom Tasks server for creating, updating, assigning, and synchronizing task workflows.

  • Recurring agent jobs that run on our servers and ping you only when the result changed.

  • Break down complex problems into atomic reasoning steps with decomposition-contraction at depth 5. Use for implementation plans, architecture decisions, and multi-step verification.
    MIT
  • Record structured reasoning steps to plan, analyze, and process complex multi-step tasks before acting. Use when you need to navigate detailed policies or challenge conclusions.
    MIT
  • Retrieve added, modified, and removed Planner tasks since the last poll, using a saved cursor for incremental synchronization. Returns change envelopes and cursor status.
    MIT
  • Inspect tasks in a queue with optional state filter, cursor-based paging, and limit. Returns tasks and per-state counts.
    MIT
  • Retrieve API endpoints with dependencies and schemas to plan multi-step workflows for accomplishing tasks, enabling structured API call execution.
    MIT
  • Break complex tasks into multi-step pipelines, routing each step to the best LLM. Use predefined templates or auto-decomposition for research, analysis, generation, and coding.
    MIT
  • Split complex tasks into manageable subtasks with defined dependencies, priorities, and structured updates. Ideal for streamlining workflows and adapting plans dynamically.
    MIT
  • Create a TODO list with optional tasks and markdown support to organize multi-step work, track bug fixes, or plan feature development. Use for explicit requests and structured task management.
  • Record professional demo videos of browser automation sequences with cursor highlighting, step annotations, and customizable visual effects.
    MIT
  • Delegate complex multi-step tasks to autonomous agents for independent execution with dedicated context, maintaining conversation continuity across sessions.
    MIT
  • Capture browser state snapshot including open tabs, worker state, and task memo for context recovery after compaction. Use before long operations or periodically during multi-step tasks.
    MIT
  • Delegate complex, multi-step tasks to an autonomous agent for independent execution with dedicated context, and maintain conversation continuity across multiple calls using the returned session ID.
    MIT
  • Solve complex multi-page crawling tasks by stating a goal; the agent autonomously plans, navigates, extracts data, and returns structured results.
    MIT