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
635,171 tools. Updated 2026-10-03 22:59
"Improving Cursor Functionality with Structured Plans and Multi-Step Tasks" matching MCP tools:
- Run natural-language web tasks in a cloud browser: AI agent navigates, clicks, types, scrolls, and extracts data for multi-step flows. Returns structured results with run metadata.Apache 2.0Destructive
- Find prepaid eSIM travel data plans by country or region; filter by data, days, 5G, hotspot, and price, with paged results via cursor.MIT
- Retrieve a step-by-step workflow template for common TigerGraph tasks like creating graphs, loading data, querying, or vector search, with ordered tools and example parameters.Apache 2.0
- List your one-time browsing tasks with optional status filtering and cursor pagination. Get an overview of running, succeeded, or failed tasks to track web automation progress.Apache 2.0
- Create milestones with checkpoints to structure and track multi-step collaborative tasks. Optionally require group consensus for checkpoint completion.MIT
Matching MCP Servers
Structured-shofficial
AlicenseNot gradedqualityDmaintenanceMCP 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.2Apache 2.0- AlicenseAqualityAmaintenanceEnables agents to run constrained optimization loops on local source files, using Step-5-Preview to propose changes while measuring candidates and returning verified patches.4MIT
Matching MCP Connectors
Recurring agent jobs that run on our servers and ping you only when the result changed.
STEP ISO-10303 header, file discarded
- Converts natural language queries into multi-step SQL analysis plans and executes them against databases to answer complex analytical questions.MIT
- Register, start, and advance multi-step workflows with status tracking. List and inspect runs to manage workflow instances.MIT
- Runs natural-language design intents through an orchestrator that classifies, plans, and executes multi-step workflows.MIT
- Find step-by-step sequences for common multi-step Word tasks. List available workflows or retrieve a specific task's steps with a one-line reason for each.AGPL 3.0
- 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
- Plan and execute multi-step generation campaigns from a natural language goal, selecting workflows, generating, vision-checking, and retrying with adjustments up to three times.MIT
- Find step-by-step guides for complex type design tasks, such as scaling, auditing, spacing, kerning, and compatibility checks, before starting any multi-step workflow.MIT
- Lists recommended step-by-step tool sequences for common Excel tasks, from data cleanup to report building. Call with a task name to get that recipe, or with no task to see available workflows.AGPL 3.0
- 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
- 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
- Discover specialized scout agents that handle multi-step hackathon goals, offering quick/deep/oracle modes and returning phased events, citations, and structured reports.MIT
- Answers complex questions with step-by-step reasoning and web-grounded evidence, including math, logic, and comparisons. Returns numbered citations with optional recency and domain filters.MIT