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360,035 tools. Last updated 2026-08-01 11:57

"Understanding High-Level Control Systems" matching MCP tools:

Matching MCP Servers

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    MCP server for the Level v2 REST API, enabling management of alerts, automations, devices, groups, tags, updates, and custom fields through typed tools.
    Last updated
    MIT
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    An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.
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    MIT

Matching MCP Connectors

  • Read and write Mission Control state via MCP — projects, tasks, subtasks, templates, status updates.

  • Ask Greenhouse the messy recruiting-ops questions dashboards miss by connecting candidates, applications, jobs, openings, stages, scorecards, interviews, notes, sources, referrers, offers, users, departments, and rejection details. Find referral SLA misses, feedback debt by interviewer and hiring team, stage-age outliers by owner, funnel leakage by recruiter/source/function, opening fill-risk from headcount vs active pipeline, offer-draft hygiene gaps, rejection-reason drift, and the bottleneck

  • List all functions called by a given function, categorized as internal, external, or library calls. Identifies low-level calls for tracing dependencies and control flow.
    AGPL 3.0
  • Discover installed mobile automation skills, including their actions, workflows, and platform support, to identify high-level automations for your device.
    MIT
  • Generate PDFs with pixel-level control over paper size, margins, and print options using the low-level Page.printToPDF method. Ideal for advanced customization beyond simple PDF generation.
    MIT
  • Retrieve a high-level overview of XDaLa session activity, indexed by time window from the Explorer API. Get analytics for sessions over 24h, 7d, 30d, 1y, or all time.
    Apache 2.0
  • Retrieve high-level project overview including scene statistics, render engine config, world environment, timeline/FPS, Blender version, and memory usage.
    MIT
  • Retrieve a high-level summary of the current game state, including turn number, civilization, yields, research, and city/unit counts, to orient yourself in the game.
    MIT
  • Break a high-level goal into ordered stages and launch agents that execute each stage only after the previous stage completes.
    Apache 2.0
  • Retrieve a high-level summary of genotype data, including variant count, chromosome distribution, and sex determination, to understand the scope of available data before deeper analysis.
    MIT