BlockWerk

tech.blockwerk/mcp · v1.1.2

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

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Last check

Reachable, 42 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 79/100

What it does: 42 tools · 23 read, 19 write (incl. delete/pay)

Test call list_jobs: failed — tool error: "list_jobs" needs the BlockWerk simulation engine, which runs in the browser — no tab is paired with this connector righ (1,455 ms)

How the rating is made

Answers without login: +30
Speed of first answer: +10
Lists tools: +10
Tool descriptions: +15
Parameter descriptions: +9
Read/write annotations: +5
Safe test call: 0
More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL

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

Tools

42 tools listed at last check

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"; Sum in "in", out "out"
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 "fromBlockId", "fromP
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 note next to them.
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; load_template puts a
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 based on third-part
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 suggestions.
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.

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