Agent skill

Flutter MCP Toolkit Debug

by Arenukvern in Arenukvern/mcp_flutter

Diagnose problems in a running Flutter app — read logs, evaluate Dart expressions, interpret error envelopes.

MITAuto-check passedMobile

Install Flutter MCP Toolkit Debug

skills CLI
$ npx skills add Arenukvern/mcp_flutter --skill flutter-mcp-toolkit-debug -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Arenukvern/mcp_flutter flutter-mcp-toolkit-debug --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Arenukvern/mcp_flutter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugin/skills/flutter-mcp-toolkit-debug .claude/skills/flutter-mcp-toolkit-debug && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
flutter-mcp-toolkit-debug
GitHub stars
386
Token cost
~4.7k tokens
SKILL.md length
1,918 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

Diagnose problems in a running Flutter app — read logs, evaluate Dart expressions, interpret error envelopes.

  • Works in 6 steps: Error envelope returned? Read error.code… → Retryable error? Run flutter-mcp-toolkit… → Need log output? Call get_recent_logs… → …
  • Something broke
  • SKILL.md covers When to use, Registry vs bundled tools, Triage flow and Tool reference, plus 2 more sections
  • Calls make and flutter

What it does

Flutter MCP Toolkit Debug is an agent skill from Arenukvern/mcp_flutter. Diagnose problems in a running Flutter app — read logs, evaluate Dart expressions, interpret error envelopes. Use when something broke.

Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Mobile, covering Cross-platform mobile apps and MCP servers. It works with Flutter, Model Context Protocol and Dart. The repository describes itself as: MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side… The licence is MIT.

When your agent uses it

  • Something broke
  • Tasks that involve Cross-platform mobile apps
  • Tasks that involve MCP servers

Example prompts

  • “/flutter-mcp-toolkit-debug”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Error envelope returned? Read error.code first, then error.descriptor.retryable. Look the code up in the Error envelope playbook below.
  2. Retryable error? Run flutter-mcp-toolkit doctor --json. If doctor fails, load flutter-mcp-toolkit-setup.
  3. Need log output? Call get_recent_logs with count: 100 and a level filter. Look for stack traces or assertion messages near the timestamp…
  4. Need live state? Call evaluate_dart_expression with a targeted expression (e.g. MyBloc.instance.state.toString()). Do this after logs, not…
  5. Chaining with inspect? Order: semantic_snapshot → evaluate_dart_expression → get_recent_logs. Snapshot gives you the current widget tree…
  6. Multiple targets? If connection_selection_required, call discover_debug_apps, pick the targetId, then pass connection: {targetId: "..."}…

What it can do on your machine

Read from SKILL.md and the folder at commit 62f3ee1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • make
    • flutter

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Flutter MCP Toolkit Debug loads about 4.7k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 1,918 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Arenukvern/mcp_flutter at commit 62f3ee1, republished under its MIT licence (© Arenukvern). 1,918 words, ~4,731 tokens.

Download SKILL.mdSave it as .claude/skills/flutter-mcp-toolkit-debug/SKILL.md (or your agent's skills folder).
name
flutter-mcp-toolkit-debug
description
Diagnose problems in a running Flutter app — read logs, evaluate Dart expressions, interpret error envelopes. Use when something broke.
<!-- @FMT_MODE_PRELUDE -->

When to use

Use this skill when something broke and you need to understand why:

  • A tool call returned an error envelope (ok: false).
  • The app behaves unexpectedly and you need runtime log output.
  • You need to inspect live app state without changing it (read AgentState.instance.value).
  • A prior control action (tap, hot_reload, navigate) completed without error but the result is wrong.

Do NOT use this skill for:

  • Reading what is currently on screen — use flutter-mcp-toolkit-inspect.
  • The toolkit itself failing to connect — load flutter-mcp-toolkit-setup.

Registry vs bundled tools

  • Bundled fmt_* tools (screenshot, logs, evaluate, …) run on the MCP server via AgentRegistry on the host.
  • App-registered surfaces appear after MCPToolkitBinding.addEntries / AgentCallEntry — discover with fmt_list_client_tools_and_resources, then fmt_client_tool / fmt_client_resource.

Triage flow

  1. Error envelope returned? Read error.code first, then error.descriptor.retryable. Look the code up in the Error envelope playbook below.
  2. Retryable error? Run flutter-mcp-toolkit doctor --json. If doctor fails, load flutter-mcp-toolkit-setup.
  3. Need log output? Call get_recent_logs with count: 100 and a level filter. Look for stack traces or assertion messages near the timestamp of the failure.
  4. Need live state? Call evaluate_dart_expression with a targeted expression (e.g. MyBloc.instance.state.toString()). Do this after logs, not instead of them.
  5. Chaining with inspect? Order: semantic_snapshot → evaluate_dart_expression → get_recent_logs. Snapshot gives you the current widget tree before expression evaluation mutates nothing; logs give trailing context.
  6. Multiple targets? If connection_selection_required, call discover_debug_apps, pick the targetId, then pass connection: {targetId: "..."} to every subsequent call.

Tool reference

get_recent_logs

Retrieve recent print() and debugPrint() output from the running app's main isolate.

  • count • integer • optional, default: 50 — number of log lines to return.
  • connection • object • optional — connection override; required when multiple debug apps are running.
get_recent_logs(count: 100)
get_recent_logs(count: 50, connection: {targetId: "ws://127.0.0.1:8181/<token>/ws"})

Returns: {"logs": ["[INFO] page loaded", "[ERROR] assertion failed: ..."], "count": 50}

Read-only; no code executed. Returns only lines buffered since last app start or hot restart. On failure see getRecentLogsFailed in the playbook.

evaluate_dart_expression

Evaluate a Dart expression in the running app's main isolate and return its string representation.

  • expression • string • required — Dart expression (e.g. "MyClass.instance.counter").
  • connection • object • optional — connection override.
evaluate_dart_expression(expression: "Navigator.of(context).canPop()")
evaluate_dart_expression(expression: "AgentState.instance.value.toString()")

Returns: {"result": "42", "kind": "Int", "classRef": "_Smi", "truncated": false} — result is always a string. A long String comes back whole up to 32,768 UTF-16 code units (the unit length and String.length count in, so non-ASCII text may encode to more bytes); past that truncated: true with length, returnedLength and a hint naming the .substring(...) that reads the rest. A List, Map or object comes back as a bare class name ("_GrowableList") with a hint — wrap the expression in .toString() or jsonEncode(...) to read its value. Executes arbitrary code in the live isolate — avoid side-effecting expressions. Debug mode only. On failure see evaluateExpressionFailed in the playbook.

Connect / multi-app flows

When discover_debug_apps returns more than one entry (or any call returns connection_selection_required):

  1. Call discover_debug_apps() — read targets[*].targetId for each running app.
  2. Identify the target by port or hostname.
  3. Call connect_debug_app(connection: {targetId: "ws://127.0.0.1:<port>/<token>/ws"}) to pin the session.
  4. Pass the same connection object to every subsequent tool call for the session.

Connection override pattern — pass connection on any call:

get_recent_logs(count: 50, connection: {targetId: "ws://127.0.0.1:8182/<token>/ws"})
evaluate_dart_expression(expression: "x.toString()", connection: {targetId: "ws://127.0.0.1:8182/<token>/ws"})

If the target changes (app restarted, port shifted), re-run discover_debug_apps to get the new targetId. Stale URIs return connect_failed.

Error envelope playbook

Every failure returns {code, message, details, descriptor, recovery}. Always read error.descriptor (not the top-level envelope) for retryable and exitCode. Run error.recovery.fix_command directly when provided.

unexpectedExecutorError (unexpected_executor_error)

Means: unhandled exception in the command executor. Causes: bug in the server; unexpected nil; unrecoverable VM state. Recovery:

  1. flutter-mcp-toolkit doctor --json
  2. If doctor passes, retry once; if it recurs, file a bug with error.details.
connectFailed (connect_failed)

Means: connection to the VM Service WebSocket failed. Causes: wrong port, stale token, app not running. Recovery:

  1. flutter-mcp-toolkit exec --name get_vm --args '{"connection":{"uri":"ws://127.0.0.1:8181/<token>/ws"}}'
  2. Get the exact URI from app.debugPort.wsUri in Flutter output.
vmNotConnected (vm_not_connected)

Means: a VM-dependent command was called before a connection was established. Recovery:

  1. flutter-mcp-toolkit exec --name status --args '{}'
  2. Then flutter-mcp-toolkit doctor --json.
connectionSelectionRequired (connection_selection_required)

Means: multiple debug targets exist; an explicit target is required. Causes: more than one Flutter app running in debug mode simultaneously. Recovery:

  1. flutter-mcp-toolkit exec --name discover_debug_apps --args '{}'
  2. Pick the correct targetId from details.availableTargets.
  3. Retry the original call with connection: {targetId: "<chosen_id>"}.
discoverDebugAppsFailed (discover_debug_apps_failed)

Means: discovery scan of local VM Service ports failed. Recovery: flutter-mcp-toolkit doctor --json

getVmFailed (get_vm_failed)

Means: get_vm RPC to the VM Service failed. Recovery: flutter-mcp-toolkit doctor --json

getExtensionRpcsFailed (get_extension_rpcs_failed)

Means: listing registered extension RPCs failed. Recovery: flutter-mcp-toolkit doctor --json

hotReloadFailed (hot_reload_failed)

Means: hot reload was rejected by the Dart compiler or VM. Causes: compile error in changed files; isolate in bad state. Recovery:

  1. flutter-mcp-toolkit exec --name get_app_errors --args '{}'
  2. Fix the compile error, then retry.
hotRestartFailed (hot_restart_failed)

Means: full hot restart failed. Recovery: flutter-mcp-toolkit doctor --json — if VM is unreachable, restart the app manually.

getActivePortsFailed (get_active_ports_failed)

Means: scan for active debug ports failed. Recovery: flutter-mcp-toolkit doctor --json

getAppErrorsFailed (get_app_errors_failed)

Means: retrieving app errors from the toolkit bridge failed. Recovery: flutter-mcp-toolkit doctor --json

getScreenshotsFailed (get_screenshots_failed)

Means: screenshot capture failed (wrong mode, host window not available, Simulator window race, etc.). Recovery:

  1. flutter-mcp-toolkit doctor --json — check visual_capture_permission_denied separately.
  2. Check captureHints on get_view_details or screenshot payloads. Strong signals (platformViewsDetected): UiKitView, AppKitView, AndroidView, HtmlElementView — use desktop_window or auto (macOS app, iOS Simulator, or Chrome/web on any host with CDP). Web truth capture: macOS ScreenCaptureKit first, then Chrome CDP (captureBackend: cdp); override port with --web-browser-debugging-port. Weak signals (weakSignalsDetected): Texture only — prefer desktop_window on macOS host but auto does not upgrade. WGPU/custom engines without platform views: set MCPToolkitBinding.captureHintsContributor in the app. Image-only get_screenshots tools also return routing JSON in meta and a leading text block. Showcase: make showcase-stop then make showcase (macOS AppKitView) or flutter run -d chrome (web HtmlElementView + CDP capture).
  3. Run focus_window (MCP: fmt_focus_window) then retry get_screenshots with mode: desktop_window.
  4. For validate-runtime, executor recovery retries focus+capture once (desktopCaptureRetried). If desktop_window still fails, validate-runtime retries once with flutter_layer even when platform views are detected. Read capturePlatformViewsDetected, captureFocusAttempted, and captureFallbackUsed in data.summary.
visualCapturePermissionDenied (visual_capture_permission_denied)

Means: macOS Screen Recording permission is not granted. Recovery:

  1. flutter-mcp-toolkit permissions request --kind visual_capture
  2. Or open System Settings → Privacy & Security → Screen Recording.
visualCaptureUnsupported (visual_capture_unsupported)

Means: visual capture is not supported on this platform or capture mode. Not retryable. Recovery: flutter-mcp-toolkit permissions status && flutter-mcp-toolkit doctor --json

getViewDetailsFailed (get_view_details_failed)

Means: retrieving FlutterView dimensions failed. Recovery: flutter-mcp-toolkit doctor --json

debugDumpFailed (debug_dump_failed)

Means: a VM debug-dump RPC (render tree, semantics, layers) failed. Recovery: flutter-mcp-toolkit doctor --json

dynamicRegistryDisabled (dynamic_registry_disabled)

Means: a dynamic tool/resource call was made but the dynamic registry is disabled. Not retryable. Recovery: flutter-mcp-toolkit --dynamics exec --name status --args '{}' — pass --dynamics flag to enable.

dynamicRegistryListFailed (dynamic_registry_list_failed)

Means: listing dynamic tools/resources from the registry failed. Recovery: flutter-mcp-toolkit doctor --json

missingToolName (missing_tool_name)

Means: a dynamic tool call was made without providing a tool name. Not retryable. Recovery: include tool_name parameter in the call; flutter-mcp-toolkit schema --name fmt_client_tool.

dynamicToolFailed (dynamic_tool_failed)

Means: invocation of a dynamic tool failed. Recovery: flutter-mcp-toolkit doctor --json

Show full SKILL.md (774 more words)Show less
missingResourceUri (missing_resource_uri)

Means: a dynamic resource read was called without a URI. Not retryable. Recovery: include uri parameter; flutter-mcp-toolkit schema --name fmt_client_resource.

dynamicResourceFailed (dynamic_resource_failed)

Means: reading a dynamic resource failed. Recovery: flutter-mcp-toolkit doctor --json

sessionManagerNotConfigured (session_manager_not_configured)

Means: a session command was called but no session manager is wired. Not retryable. Recovery: flutter-mcp-toolkit doctor --json — server config issue; reload flutter-mcp-toolkit-setup.

sessionNotFound (session_not_found)

Means: the requested session ID does not exist. Not retryable. Recovery: list active sessions; start a new session before referencing it.

invalidCommand (invalid_command)

Means: command name or argument schema is invalid. Not retryable. Recovery: flutter-mcp-toolkit schema --name <command_name>

stateStoreReadFailed (state_store_read_failed)

Means: reading from persistent state store failed. Recovery: flutter-mcp-toolkit doctor --json — check filesystem permissions on state directory.

stateStoreWriteFailed (state_store_write_failed)

Means: writing to persistent state store failed. Recovery: flutter-mcp-toolkit doctor --json — check disk space and permissions.

stateLockTimeout (state_lock_timeout)

Means: acquiring the state lock timed out (concurrent agent contention). Causes: another agent or CLI call holds the lock; deadlock. Recovery: wait and retry; if recurring, kill other agent processes holding the lock.

stateLockConflict (state_lock_conflict)

Means: a conflicting state lock was detected. Causes: parallel agents writing simultaneously. Recovery: serialise calls; retry after the conflicting operation completes.

diagnoseFailed (diagnose_failed)

Means: the composite diagnose command failed. Recovery: flutter-mcp-toolkit doctor --json

explainErrorsFailed (explain_errors_failed)

Means: the error-explanation command failed. Recovery: flutter-mcp-toolkit doctor --json

unsupportedSummaryProvider (unsupported_summary_provider)

Means: an unrecognised summary provider was requested. Not retryable. Recovery: flutter-mcp-toolkit schema --name diagnose — check allowed provider values.

snapshotNotFound (snapshot_not_found)

Means: the referenced snapshot ID does not exist. Not retryable. Recovery: flutter-mcp-toolkit snapshot create --name <snapshot_id> --args '{}'

snapshotInvalid (snapshot_invalid)

Means: snapshot payload is malformed or fails validation. Not retryable. Recovery: recreate the snapshot; do not reuse corrupted files.

staleSnapshot (stale_snapshot)

Means: the provided snapshotId no longer matches the current app state. Causes: a hot reload or interaction changed the widget tree after the snapshot was taken. Recovery:

  1. evaluate_dart_expression(expression: "true") — verify app is reachable.
  2. semantic_snapshot() — obtain a fresh snapshot ID, then retry the original call.
bundleBuildFailed (bundle_build_failed)

Means: bundle creation or publish failed. Recovery: flutter-mcp-toolkit doctor --json — check build artefacts and output path.

writeBlocked (write_blocked)

Means: a write was blocked because --no-overwrite is set and the target already exists. Not retryable. Recovery: retry without --no-overwrite, or choose a different --output/--name.

doctorCriticalFailed (doctor_critical_failed)

Means: one or more critical doctor checks failed. Recovery: flutter-mcp-toolkit doctor --json — read checks[*] where status: "fail" and critical: true; load flutter-mcp-toolkit-setup.

interactionFailed (interaction_failed)

Means: a tap/scroll/swipe/drag/long_press/enter_text/reveal_search/focus_widget call was refused. Causes: stale ref; widget not visible, not interactive, or disabled; target never found; toolkit bridge not initialized. For focus_widget: focus_not_exposed (nothing focusable answers for the ref — a tap-only button with no FocusNode) or focus_refused (focus moved elsewhere; details.focusedNow names the holder). Recovery:

  1. Read error.details.hint — a refusal names its own cause and next step, and that hint is what error.recovery.summary carries.
  2. Otherwise semantic_snapshot() for fresh refs, then retry.
semanticSnapshotFailed (semantic_snapshot_failed)

Means: semantic_snapshot execution failed. Recovery: flutter-mcp-toolkit doctor --json — verify MCPToolkitBinding.initialize() is called.

evaluateExpressionFailed (evaluate_expression_failed)

Means: evaluate_dart_expression execution failed. Causes: expression syntax error; exception thrown at runtime; isolate not reachable. Recovery: simplify the expression; check syntax; flutter-mcp-toolkit doctor --json.

getRecentLogsFailed (get_recent_logs_failed)

Means: get_recent_logs retrieval failed. Recovery: flutter-mcp-toolkit doctor --json — verify toolkit is initialized.

invalidPredicate (invalid_predicate)

Means: wait_for received a predicate whose requested observation cannot fit inside its timeout budget. Causes: stableWindowMs is greater than or equal to effective timeoutMs. Recovery: set timeoutMs above stableWindowMs; omitting timeoutMs uses the 5000 ms default.

waitTimeout (wait_timeout)

Means: wait_for predicate did not match before timeoutMs elapsed. Causes: predicate condition never becomes true; app state does not change; timeoutMs too short. Recovery:

  1. semantic_snapshot() — verify the expected widget state.
  2. Increase timeoutMs or adjust the predicate.
waitForFailed (wait_for_failed)

Means: wait_for execution failed (malformed predicate or toolkit error). Recovery: flutter-mcp-toolkit schema --name wait_for

pressKeyFailed (press_key_failed)

Means: press_key execution failed. Recovery: flutter-mcp-toolkit schema --name press_key

handleDialogFailed (handle_dialog_failed)

Means: handle_dialog (dismiss/accept dialog) execution failed. Causes: no dialog present; dialog already dismissed. Recovery: semantic_snapshot() — verify a dialog is visible before calling.

navigateFailed (navigate_failed)

Means: navigate push/pop/popUntil failed. Recovery: flutter-mcp-toolkit schema --name navigate

navigatorNotRegistered (navigator_not_registered)

Means: navigate was called but the app did not register a GlobalKey<NavigatorState>. Not retryable. Causes: MCPToolkitBinding.instance.navigatorKey was never set in the host app. Recovery: assign MCPToolkitBinding.instance.navigatorKey = navigatorKey in the app's main.dart and hot restart.

fillFormFailed (fill_form_failed)

Means: fill_form orchestration failed (transport or per-field error). Recovery: flutter-mcp-toolkit schema --name fill_form

hoverFailed (hover_failed)

Means: hover execution failed. Recovery: flutter-mcp-toolkit doctor --json

focusWidgetFailed (focus_widget_failed)

Means: focus_widget could not reach the app. A refusal the app itself reports (focus_not_exposed, focus_refused) arrives as interaction_failed with the toolkit's hint in details. Recovery: flutter-mcp-toolkit doctor --json

unknown (unknown_error)

Means: fallback for any unrecognised error code. Recovery: flutter-mcp-toolkit doctor --json — inspect error.details for raw cause.

© Arenukvern, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugin/skills/flutter-mcp-toolkit-debug of Arenukvern/mcp_flutter.

Open the folder on GitHubat commit 62f3ee1

Compare with similar skills

Flutter MCP Toolkit Debug next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Categories

Questions about Flutter MCP Toolkit Debug

What does Flutter MCP Toolkit Debug do?

Diagnose problems in a running Flutter app — read logs, evaluate Dart expressions, interpret error envelopes. Flutter MCP Toolkit Debug is an agent skill from Arenukvern/mcp_flutter. Diagnose problems in a running Flutter app — read logs, evaluate Dart expressions, interpret error envelopes.

When should I use Flutter MCP Toolkit Debug?

Flutter MCP Toolkit Debug fits situations like: something broke; tasks that involve Cross-platform mobile apps; tasks that involve MCP servers.

How do I install Flutter MCP Toolkit Debug in Claude Code?

Run `npx skills add Arenukvern/mcp_flutter --skill flutter-mcp-toolkit-debug -a claude-code`. Or copy the skill folder (plugin/skills/flutter-mcp-toolkit-debug in Arenukvern/mcp_flutter) into .claude/skills/flutter-mcp-toolkit-debug in your project. Claude Code loads it when a task matches its description.

How do I install Flutter MCP Toolkit Debug in Codex?

Run `npx skills add Arenukvern/mcp_flutter --skill flutter-mcp-toolkit-debug -a codex`. Or copy the skill folder (plugin/skills/flutter-mcp-toolkit-debug in Arenukvern/mcp_flutter) into .agents/skills/flutter-mcp-toolkit-debug in your project. Codex loads it when a task matches its description.

Can I use Flutter MCP Toolkit Debug in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Arenukvern/mcp_flutter --skill flutter-mcp-toolkit-debug -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/flutter-mcp-toolkit-debug, .gemini/skills/flutter-mcp-toolkit-debug, .github/skills/flutter-mcp-toolkit-debug and .opencode/skills/flutter-mcp-toolkit-debug in your project.

What does Flutter MCP Toolkit Debug need to run?

Going by SKILL.md and its folder, Flutter MCP Toolkit Debug needs the command-line tools its instructions call (make and flutter).

Does Flutter MCP Toolkit Debug access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Flutter MCP Toolkit Debug safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Flutter MCP Toolkit Debug use?

Flutter MCP Toolkit Debug is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Flutter MCP Toolkit Debug use?

About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Flutter MCP Toolkit Debug?

Skills that share tags, products or a category with Flutter MCP Toolkit Debug: MCP Dart Client (leehack/mcp_dart, 116 stars), Aaalice Dev Sessions (Aaalice233/Aaalice_NAI_Launcher, 188 stars), Aaalice Hot Reload (Aaalice233/Aaalice_NAI_Launcher, 188 stars) and Aaalice Runtime Verify (Aaalice233/Aaalice_NAI_Launcher, 188 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Flutter MCP Toolkit Debug?

Arenukvern (a GitHub user) maintains it in Arenukvern/mcp_flutter, which has 386 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 3, 2026.

Source: Arenukvern/mcp_flutter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.