BlockWerk

できること

このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。

• 接続方法: クラウドで動く
• トランスポート: Streamable HTTP
• カテゴリ: デザイン・画像・音声
• 入力が必要なもの：Authorization

インストール

使っているAIアプリを選んで、設定をコピーしてください。

必要なもの

• クラウドで動くインストール不要。インターネット経由でつながります

どのアプリを使っていますか？

claude mcp add --transport http blockwerk https://blockwerk-mcp-worker.blockwerk.workers.dev/ --header 'Authorization: your-value'

{
  "mcpServers": {
    "blockwerk": {
      "url": "https://blockwerk-mcp-worker.blockwerk.workers.dev/",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

{
  "servers": {
    "blockwerk": {
      "type": "http",
      "url": "https://blockwerk-mcp-worker.blockwerk.workers.dev/",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。

自分で入力する値

• Authorization 秘密 HTTP header
  Optional. 'Bearer ' from the Connect AI panel on blockwerk.tech pairs this connection with your own open tab. Without it you get a private scratch canvas.

この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。

できること

ツールの名前と説明は、サーバーが2026年11月8日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。

• describe_canvas

  Returns a structured description of all blocks and connections currently on the canvas. Set "compact" to true for a token-efficient summary.

• get_available_blocks

  Returns the block types in the library with their descriptions, configurable parameters, and exact input/output port IDs. Without a filter it returns a compact list of all types; with a list of type IDs it returns full details for those types. Example port IDs: Step out "out"; Su

• add_block

  Add a new block to the canvas. Returns the new block ID.

• connect_blocks

  Connect an output port of one block to an input port of another. Automatically resolves common port aliases (e.g., "in" -> "signal" for uPlotDisplay, "in" -> "error" for PIDController, "+" / "-" for Subtraction).

• update_params

  Update one or more parameters of an existing block.

• delete_block

  Delete a block and all its connections from the canvas. This is a destructive action that asks the user for approval in the BlockWerk tab.

• load_diagram

  Atomically replaces the entire canvas with a complete diagram defined as a BlockWerk project JSON string. The JSON has a "blocks" array (each block needs a unique "id" and "type"; "x"/"y"/"params" are optional) and a "connections" array (each connection needs a unique "id" plus "

• export_diagram

  Exports the current canvas project as a complete BlockWerk JSON string.

• get_share_link

  Returns a link that opens the current diagram on the BlockWerk canvas. The whole project travels compressed inside the URL, so it needs no account and nothing is uploaded. Opening the link in a browser shows the diagram, where the simulation can be run.

• clear_canvas

  Remove all blocks and connections from the canvas. This is a destructive action that asks the user for approval in the BlockWerk tab.

• tidy_layout

  Automatically rearrange all blocks on the canvas into a clean, left-to-right flow.

• batch_commands

  Executes multiple canvas manipulation and background job commands in a single round-trip. Use "handle" strings to refer to blocks added earlier in the same batch. When adding TextNote annotations, set "anchors" to the handles/IDs of the described blocks so auto-layout keeps each

• analyze_topology

  Analyzes the block diagram structure: detects feedback loops, signal paths, and system order.

• get_signal_data

  Returns time series data from a Scope block output for analysis.

• calculate_metrics

  Calculates step response metrics from signal data: rise time, settling time, overshoot percentage, and steady-state error.

• get_analysis_measurements

  Retrieves the currently active pinned measurements and their computed values across plotted signals in the Analysis panel.

• evaluate_spec_mask

  Evaluates signal data against automated design specifications and tolerance corridors (rise time, settling time, overshoot %, steady-state error, min/max limits).

• get_architect_memory

  Returns the persistent memory object of the Architect.

• update_architect_memory

  Updates the persistent memory of the Architect. Provide a JSON object with keys to update/merge.

• validate_engineering_units

  Checks the consistency of engineering units across the diagram. Detects incompatible connections and missing units.

• validate_canvas

  Performs pre-flight topological and numerical integrity checks on the canvas. Detects unconnected required input ports, isolated blocks, parameter domain anomalies, and direct algebraic feedthrough loops.

• get_canvas_preview

  Captures a visual screenshot preview of the canvas branded with the official BlockWerk watermark badge and returns the live interactive URL to view and edit the diagram online.

• get_templates

  Lists the built-in, verified BlockWerk diagrams: classic control systems (PID loop, cruise control, inverted pendulum), signal processing, electrical and physics models. Each entry gives an id, what the diagram does, its difficulty and the blocks it uses. Returns metadata only; l

• load_template

  Replaces the entire canvas with one of the built-in verified diagrams, by id from get_templates. The template carries its topology, parameters and simulation settings. Returns the block and connection counts, the verified simulation settings, and the attribution when the model is

• run_simulation

  Triggers a new simulation run with the current canvas state and settings, refreshing the signal data.

• sweep_parameter

  Runs simulations across a list of values for one parameter, returning control quality metrics (IAE, overshoot, settling_time, steady_state_error) per value. Requires measureBlockId and setpoint.

• optimize_parameters

  Finds the optimal value for a single parameter using golden-section search. Minimizes IAE (integral absolute error), overshoot, or settling_time within a [min, max] range. Converges in about 10 simulations.

• optimize_multi_parameter

  Optimizes 2–6 parameters simultaneously using Nelder-Mead simplex search, for example Kp, Ki and Kd of a PID controller at once.

• auto_tune_pid

  Automatically tunes a PID controller using the Ziegler-Nichols ultimate cycle method. Finds the ultimate gain (Ku) and oscillation period (Tu) via binary search, then applies ZN formulas. No prior knowledge of the plant required.

• identify_fopdt

  Analyzes a step response from a plant to identify its First-Order Plus Dead Time (FOPDT) parameters: Gain (K), Time Constant (tau), and Dead Time (theta). Requires a completed simulation with a step input connected to the plant. Returns the calculated parameters.

• start_optimization

  Start a parameter optimization job in the background.

• get_job_status

  Check the status and progress of a background job.

• cancel_job

  Cancel a running background job.

• list_jobs

  List all recent background jobs and their status.

• explain_simulation

  Analyze the last completed simulation and return a structured diagnosis: signal anomalies (NaN, divergence, oscillation), solver health (rejection rate, efficiency), algebraic loops, and optional stability margins. Returns JSON with severity-tagged findings and actionable suggest

• get_bode_data

  Computes magnitude and phase frequency response (Bode data) between two blocks. Traces path backwards from outputBlockId. Returns analytic response if the path contains only linear blocks, otherwise runs numerical sweep.

• get_fft_data

  Computes FFT (frequency spectrum) of a Scope signal. Returns frequencies and magnitudes.

• get_engine_status

  Returns the simulation engine status, including supported solvers, active background jobs, and compilation/WASM capabilities.

• generate_code

  Generates standalone production code (C++, Python, Rust) from the current canvas diagram. Returns structured code files, interfaces (inputs/outputs), execution order, and diagnostics.

• undo_last_ai_action

  Undoes the last canvas modification made by the AI (add block, connect, delete, update parameter).

• redo_last_ai_action

  Redoes the last undone canvas modification.

• get_ai_history

  Returns the list of recent canvas operations performed by the AI, showing what can be undone.

基本チェックi

誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月10日にチェック

• ! 注意

  作者とリポジトリが一致

  レジストリにソースのリポジトリが載っていないため、公開者（blockwerk.tech）とコードを照合できません

• … 未チェック

  今もメンテナンスされている

  このリポジトリはまだGitHubから読み取っていません

• … 未チェック

  ライセンスがある

  このリポジトリはまだGitHubから読み取っていません

• ✓ 合格

  エンドポイントが応答する

  379ミリ秒で応答（HTTP 200）

• – 対象外

  OAuthでサインイン

  サインイン不要

• ✓ 合格

  ツールの説明に隠れた指示がない

  42件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした

デザイン・画像・音声のほかのサーバーとの比較i

• このカテゴリのほかの2842件のうち0%よりスターが多い
• このカテゴリのほかの2842件のうち44%より最近レジストリに公開
• 基本チェックの結果が、このカテゴリのほかの2842件のうち44%と同じかそれ以上

レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。

代わりの候補

同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。

カードの見方：↓ 週あたりのダウンロードi★ GitHubスターi3つの柱：レビュー · チェック · 利用状況i更新＝最新バージョンをレジストリに公開した日i

作者のREADME

リポジトリにREADMEが見つかりません