Skip to main content
Glama
520,054 tools. Updated 2026-09-06 08:15

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

  • List your one-time browsing tasks with optional status filtering and cursor pagination. Use this to view running, succeeded, or failed tasks and monitor their outcomes.
    Apache 2.0
  • 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
  • Get recommended step-by-step workflows for common Word tasks, with a reason per step. Call without a task to list available tasks, or with a task name to view its sequence.
    AGPL 3.0

Matching MCP Servers

Matching MCP Connectors

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

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

  • 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
  • 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
  • Executes a pre-configured AI agent workflow for tasks like due diligence, portfolio review, or market scanning. Provide the agent slug and inputs; receive step-by-step execution status and final output.
    MIT
  • Discover specialized scout agents that handle multi-step hackathon goals, offering quick/deep/oracle modes and returning phased events, citations, and structured reports.
    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
  • Launch a structured multi-step mission on APIClaw's runtime and receive a missionId to track progress. Use for tasks requiring multiple API calls instead of one.
    MIT
  • Delegate multi-step research, file analysis, or long-running Python tasks to a local agent and receive a job ID instantly, then poll for status and collect results.
    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