MCP MeasureMCP Measure

index observed

BlockWerk

Build, run and analyse block-diagram simulations: PID, Bode, FFT, optimisation and code export.

Should I use this

Quality & Safety

A
Description quality
96%
Schema completeness
75%
Naming quality
95%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (2)

  • LOWTool 'get_architect_memory' description lacks action verbin get_architect_memory
  • LOWTool 'get_engine_status' description lacks action verbin get_engine_status

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~6,261Tokens (tool definitions)
~970 BTypical response size
Significant attention impact (4.89% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "mcp": {
      "url": "https://blockwerk-mcp-worker.blockwerk.workers.dev/"
    }
  }
}

Remote endpoints

https://blockwerk-mcp-worker.blockwerk.workers.dev/streamable-http

What it can do

Tool inventory

Tools (42)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢describe_canvas(compact)

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

Input Schema

{
  "type": "object",
  "properties": {
    "compact": {
      "type": "boolean",
      "description": "If true, returns a minimal description without full parameter details."
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_available_blocks(filter)

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"; Sum in "in", out "out"; Gain in "in", out "out"; PIDController in "error","reset", out "out"; uPlotDisplay in "signal". Common aliases (e.g. "in" for PID error, "in" for uPlotDisplay signal, "+" / "-" for Subtraction) are resolved automatically.

Input Schema

{
  "type": "object",
  "properties": {
    "filter": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Optional: List of block type IDs to get full details for. If omitted, returns a compact list of all blocks."
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡add_block(type, x, y)

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

Input Schema

{
  "type": "object",
  "properties": {
    "type": {
      "type": "string",
      "description": "Block type from the library, e.g. \"PIDController\", \"Gain\", \"Integrator\""
    },
    "x": {
      "type": "number",
      "description": "Horizontal position in canvas pixels"
    },
    "y": {
      "type": "number",
      "description": "Vertical position in canvas pixels"
    }
  },
  "required": [
    "type",
    "x",
    "y"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪connect_blocks(fromBlockId, fromPortId, toBlockId, toPortId)

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).

Input Schema

{
  "type": "object",
  "properties": {
    "fromBlockId": {
      "type": "string",
      "description": "ID of the source block"
    },
    "fromPortId": {
      "type": "string",
      "description": "Output port ID of the source block, e.g. \"out\" (aliases like \"signal\", \"y\" are supported)"
    },
    "toBlockId": {
      "type": "string",
      "description": "ID of the destination block"
    },
    "toPortId": {
      "type": "string",
      "description": "Input port ID of the destination block, e.g. \"in\" (aliases like \"signal\" or PID \"error\" are supported)"
    }
  },
  "required": [
    "fromBlockId",
    "fromPortId",
    "toBlockId",
    "toPortId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡update_params(blockId, params)

Update one or more parameters of an existing block.

Input Schema

{
  "type": "object",
  "properties": {
    "blockId": {
      "type": "string",
      "description": "ID of the block to update"
    },
    "params": {
      "type": "object",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": {},
      "description": "Key-value pairs of parameter names and their new values"
    }
  },
  "required": [
    "blockId",
    "params"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🔴delete_block(blockId)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "blockId": {
      "type": "string",
      "description": "ID of the block to delete"
    }
  },
  "required": [
    "blockId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🔴load_diagram(json)

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 "fromBlockId", "fromPortId", "toBlockId", "toPortId"; a missing id fails validation of the whole load). Block types and port ids are listed by get_available_blocks. This is a destructive action that asks the user for approval in the BlockWerk tab.

Input Schema

{
  "type": "object",
  "properties": {
    "json": {
      "type": "string",
      "description": "Full BlockWerk project JSON, e.g. {\"blocks\":[{\"id\":\"b1\",\"type\":\"Step\",\"x\":100,\"y\":100,\"params\":{}},{\"id\":\"b2\",\"type\":\"Integrator\",\"x\":300,\"y\":100,\"params\":{}}],\"connections\":[{\"id\":\"c1\",\"fromBlockId\":\"b1\",\"fromPortId\":\"out\",\"toBlockId\":\"b2\",\"toPortId\":\"in\"}]}"
    }
  },
  "required": [
    "json"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢export_diagram

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

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢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.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🔴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.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪tidy_layout

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

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🔴batch_commands(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 note next to them.

Input Schema

{
  "type": "object",
  "properties": {
    "commands": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string",
            "enum": [
              "add_block",
              "move_block",
              "connect_blocks",
              "update_params",
              "delete_block",
              "tidy_layout",
              "clear_canvas",
              "start_optimization",
              "get_job_status",
              "cancel_job"
            ]
          },
          "blockType": {
            "type": "string"
          },
          "x": {
            "type": "number"
          },
          "y": {
            "type": "number"
          },
          "handle": {
            "type": "string"
          },
          "blockId": {
            "type": "string"
          },
          "fromBlockId": {
            "type": "string"
          },
          "fromPortId": {
            "type": "string"
          },
          "toBlockId": {
            "type": "string"
          },
          "toPortId": {
            "type": "string"
          },
          "params": {
            "type": "object",
            "propertyNames": {
              "type": "string"
            },
            "additionalProperties": {}
          },
          "anchors": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "For add_block of a TextNote: handles/IDs of the blocks the note describes. Auto-layout and drag then keep the note beside those blocks."
          },
          "paramName": {
            "type": "string"
          },
          "min": {
            "type": "number"
          },
          "max": {
            "type": "number"
          },
          "measureBlockId": {
            "type": "string"
          },
          "setpoint": {
            "type": "number"
          },
          "objective": {
            "type": "string",
            "enum": [
              "iae",
              "overshoot",
              "settling_time"
            ]
          },
          "maxIterations": {
            "type": "number"
          },
          "jobId": {
            "type": "string"
          }
        },
        "required": [
          "type"
        ]
      }
    }
  },
  "required": [
    "commands"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢analyze_topology

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

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_signal_data(blockId, channel)

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

Input Schema

{
  "type": "object",
  "properties": {
    "blockId": {
      "type": "string",
      "description": "ID of the Scope block"
    },
    "channel": {
      "type": "number",
      "description": "Channel index (default: 0)"
    }
  },
  "required": [
    "blockId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢calculate_metrics(blockId, setpoint)

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

Input Schema

{
  "type": "object",
  "properties": {
    "blockId": {
      "type": "string",
      "description": "ID of the Scope block"
    },
    "setpoint": {
      "type": "number",
      "description": "Target setpoint value (default: 1)"
    }
  },
  "required": [
    "blockId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_analysis_measurements(blockId)

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

Input Schema

{
  "type": "object",
  "properties": {
    "blockId": {
      "type": "string",
      "description": "Optional blockId or signalId filter"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢evaluate_spec_mask(blockId, setpoint, maxOvershootPercent, maxSettlingTime, maxRiseTime, ...)

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

Input Schema

{
  "type": "object",
  "properties": {
    "blockId": {
      "type": "string",
      "description": "ID of the Scope or signal source block"
    },
    "setpoint": {
      "type": "number",
      "description": "Target setpoint value (default: 1)"
    },
    "maxOvershootPercent": {
      "type": "number",
      "description": "Maximum allowable overshoot %"
    },
    "maxSettlingTime": {
      "type": "number",
      "description": "Maximum allowable settling time (seconds)"
    },
    "maxRiseTime": {
      "type": "number",
      "description": "Maximum allowable rise time (seconds)"
    },
    "maxSteadyStateError": {
      "type": "number",
      "description": "Maximum allowable steady-state error"
    },
    "lowerLimit": {
      "type": "number",
      "description": "Absolute lower bound corridor"
    },
    "upperLimit": {
      "type": "number",
      "description": "Absolute upper bound corridor"
    }
  },
  "required": [
    "blockId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_architect_memory

Returns the persistent memory object of the Architect.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡update_architect_memory(updates)

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

Input Schema

{
  "type": "object",
  "properties": {
    "updates": {
      "type": "object",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": {},
      "description": "Keys and values to store"
    }
  },
  "required": [
    "updates"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢validate_engineering_units

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

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢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.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_canvas_preview(type)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "type": {
      "type": "string",
      "enum": [
        "canvas",
        "scope",
        "combined"
      ],
      "description": "Which visual region to capture: \"canvas\", \"scope\", or \"combined\" (default: \"combined\")."
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_templates(category, interactive)

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; load_template puts a diagram on the canvas by id.

Input Schema

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "enum": [
        "Control Systems",
        "Signal Processing",
        "Physics",
        "Electrical"
      ],
      "description": "Optional filter by category."
    },
    "interactive": {
      "type": "boolean",
      "description": "If true, only diagrams with live on-canvas controls (sliders, joystick, keyboard) meant to be driven while the simulation runs."
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🔴load_template(templateId)

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 based on third-party material. This is a destructive action that asks the user for approval in the BlockWerk tab.

Input Schema

{
  "type": "object",
  "properties": {
    "templateId": {
      "type": "string",
      "description": "Template id from get_templates, e.g. \"inverted_pendulum\" or \"pid_loop\"."
    }
  },
  "required": [
    "templateId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪run_simulation(duration, sampleTime, reason)

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

Input Schema

{
  "type": "object",
  "properties": {
    "duration": {
      "type": "number",
      "description": "Duration in seconds"
    },
    "sampleTime": {
      "type": "number",
      "description": "Optional custom step size (dt) for high frequency or stiff systems (e.g., 0.001)"
    },
    "reason": {
      "type": "string",
      "description": "User-facing explanation of why settings were changed (e.g., Nyquist constraint)"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢sweep_parameter(blockId, paramName, values, measureBlockId, setpoint)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "blockId": {
      "type": "string",
      "description": "ID of the block to tune"
    },
    "paramName": {
      "type": "string",
      "description": "Parameter key to vary (e.g., \"gain\", \"Kp\")"
    },
    "values": {
      "type": "array",
      "items": {
        "type": "number"
      },
      "description": "List of values to test"
    },
    "measureBlockId": {
      "type": "string",
      "description": "Scope or Display block ID to read the controlled signal from"
    },
    "setpoint": {
      "type": "number",
      "description": "Expected final value for error calculation (default: 1)"
    }
  },
  "required": [
    "blockId",
    "paramName",
    "values"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪optimize_parameters(blockId, paramName, min, max, measureBlockId, ...)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "blockId": {
      "type": "string",
      "description": "ID of the block containing the parameter to tune"
    },
    "paramName": {
      "type": "string",
      "description": "Parameter key to optimize (e.g., \"Kp\", \"gain\")"
    },
    "min": {
      "type": "number",
      "description": "Lower bound of the search range"
    },
    "max": {
      "type": "number",
      "description": "Upper bound of the search range"
    },
    "measureBlockId": {
      "type": "string",
      "description": "Scope or Display block ID to read the controlled signal from"
    },
    "setpoint": {
      "type": "number",
      "description": "Target steady-state value (default: 1)"
    },
    "objective": {
      "type": "string",
      "enum": [
        "iae",
        "overshoot",
        "settling_time"
      ],
      "description": "Metric to minimize (default: iae)"
    },
    "maxIterations": {
      "type": "number",
      "description": "Maximum simulations to run, 3–20 (default: 10)"
    }
  },
  "required": [
    "blockId",
    "paramName",
    "min",
    "max",
    "measureBlockId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪optimize_multi_parameter(targets, measureBlockId, setpoint, objective, maxIterations)

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

Input Schema

{
  "type": "object",
  "properties": {
    "targets": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "blockId": {
            "type": "string"
          },
          "paramName": {
            "type": "string"
          },
          "min": {
            "type": "number"
          },
          "max": {
            "type": "number"
          }
        },
        "required": [
          "blockId",
          "paramName",
          "min",
          "max"
        ]
      },
      "description": "Parameters to optimize simultaneously"
    },
    "measureBlockId": {
      "type": "string",
      "description": "Scope or Display block to read the controlled signal from"
    },
    "setpoint": {
      "type": "number",
      "description": "Target steady-state value (default: 1)"
    },
    "objective": {
      "type": "string",
      "enum": [
        "iae",
        "overshoot",
        "settling_time"
      ],
      "description": "Metric to minimize (default: iae)"
    },
    "maxIterations": {
      "type": "number",
      "description": "Max simulations to run, 5–60 (default: 30)"
    }
  },
  "required": [
    "targets",
    "measureBlockId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪auto_tune_pid(pidBlockId, measureBlockId, setpoint, controlType, minGain, ...)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "pidBlockId": {
      "type": "string",
      "description": "ID of the PIDController block to tune"
    },
    "measureBlockId": {
      "type": "string",
      "description": "Scope or Display block showing the controlled variable"
    },
    "setpoint": {
      "type": "number",
      "description": "Desired setpoint value (default: 1)"
    },
    "controlType": {
      "type": "string",
      "enum": [
        "P",
        "PI",
        "PID"
      ],
      "description": "Controller type to tune for (default: PID)"
    },
    "minGain": {
      "type": "number",
      "description": "Lower bound for Ku search (default: 0.1)"
    },
    "maxGain": {
      "type": "number",
      "description": "Upper bound for Ku search (default: 200)"
    }
  },
  "required": [
    "pidBlockId",
    "measureBlockId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢identify_fopdt(blockId, stepAmplitude, stepTime)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "blockId": {
      "type": "string",
      "description": "Scope or Display block ID showing the plant output"
    },
    "stepAmplitude": {
      "type": "number",
      "description": "Amplitude of the step input (default: 1)"
    },
    "stepTime": {
      "type": "number",
      "description": "Time when the step input occurred (default: 0)"
    }
  },
  "required": [
    "blockId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪start_optimization(blockId, paramName, min, max, measureBlockId, ...)

Start a parameter optimization job in the background.

Input Schema

{
  "type": "object",
  "properties": {
    "blockId": {
      "type": "string"
    },
    "paramName": {
      "type": "string"
    },
    "min": {
      "type": "number"
    },
    "max": {
      "type": "number"
    },
    "measureBlockId": {
      "type": "string"
    },
    "setpoint": {
      "type": "number"
    },
    "objective": {
      "type": "string",
      "enum": [
        "iae",
        "overshoot",
        "settling_time"
      ]
    },
    "maxIterations": {
      "type": "number"
    }
  },
  "required": [
    "blockId",
    "paramName",
    "min",
    "max",
    "measureBlockId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_job_status(jobId)

Check the status and progress of a background job.

Input Schema

{
  "type": "object",
  "properties": {
    "jobId": {
      "type": "string"
    }
  },
  "required": [
    "jobId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🔴cancel_job(jobId)

Cancel a running background job.

Input Schema

{
  "type": "object",
  "properties": {
    "jobId": {
      "type": "string"
    }
  },
  "required": [
    "jobId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢list_jobs

List all recent background jobs and their status.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢explain_simulation(stabilityMargins)

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 suggestions.

Input Schema

{
  "type": "object",
  "properties": {
    "stabilityMargins": {
      "type": "object",
      "properties": {
        "gainMarginDb": {
          "type": "number"
        },
        "phaseMarginDeg": {
          "type": "number"
        },
        "stable": {
          "type": "boolean"
        }
      },
      "required": [
        "gainMarginDb",
        "phaseMarginDeg",
        "stable"
      ],
      "description": "Optional pre-computed stability margins from a Bode sweep. If omitted, stability analysis is skipped."
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_bode_data(inputBlockId, outputBlockId, startFreq, endFreq, pointsPerDecade)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "inputBlockId": {
      "type": "string",
      "description": "ID of the input source block"
    },
    "outputBlockId": {
      "type": "string",
      "description": "ID of the output measurement block"
    },
    "startFreq": {
      "type": "number",
      "description": "Start frequency in rad/s (default: 0.1)"
    },
    "endFreq": {
      "type": "number",
      "description": "End frequency in rad/s (default: 100)"
    },
    "pointsPerDecade": {
      "type": "number",
      "description": "Number of points per decade (default: 10)"
    }
  },
  "required": [
    "inputBlockId",
    "outputBlockId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_fft_data(blockId, channel)

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

Input Schema

{
  "type": "object",
  "properties": {
    "blockId": {
      "type": "string",
      "description": "ID of the Scope block"
    },
    "channel": {
      "type": "number",
      "description": "Channel index (default: 0)"
    }
  },
  "required": [
    "blockId"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_engine_status

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

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢generate_code(modelName, sampleTime, target, encapsulateSubsystems)

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

Input Schema

{
  "type": "object",
  "properties": {
    "modelName": {
      "type": "string",
      "description": "Name of the generated model class/module (e.g., \"MotorController\", default: \"BlockWerkModel\")"
    },
    "sampleTime": {
      "type": "number",
      "description": "Optional custom step size in seconds (default: current canvas sampleTime)"
    },
    "target": {
      "type": "string",
      "enum": [
        "all",
        "cpp",
        "python",
        "rust"
      ],
      "description": "Filter code generation to a specific target language (default: \"all\")"
    },
    "encapsulateSubsystems": {
      "type": "boolean",
      "description": "Whether to generate encapsulated subsystem classes (default: false)"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🔴undo_last_ai_action

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

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🔴redo_last_ai_action

Redoes the last undone canvas modification.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_ai_history

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

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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