"Automating Design and Deployment of n8n Workflows" matching MCP tools:

• list_workflows

  Dreamlit

  Read-only. Use to find workflows in a project by name, description, or trigger type before inspection or editing. Trigger filters include database, auth email, repeating, broadcast, and no-trigger workflows. Returns paginated workflow summaries, published/sandbox state, trigger type, workflow URLs, totalCount, hasMore, and nextOffset. Do not use as the final source of truth before editing; call get_workflow_and_preview_url for full structure.

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• delete_deployment

  mcp

  Deletes a deployment and its underlying app VM. Pass the numeric id from list_deployments. IMPORTANT: if the deployment used database:'managed', the managed Postgres VM is NOT deleted (data safety) — this tool returns its id so you can delete_database it when you're done with the data. Cannot be undone.

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• tfstatus

  InsideOut (Riley)

  MONITORING: Quick status check for Terraform deployments Check the current status of a Terraform deployment job. Use this tool to quickly check if a deployment is running, completed, or failed. Returns job status, job_id, and other metadata without streaming logs. Use tflogs to stream the actual deployment logs. REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: job_id to target a specific deployment (use tfruns to discover IDs). **LIVENESS**: The response carries two distinct timestamps: - `updated_at` — last semantic change (only bumped when status / drift / version actually differ). Useful for sorting deployments; NOT a per-poll heartbeat. - `last_refresh_at` — last successful Oracle decode (stamped on every poll where reliable reached Oracle, even if nothing in the row changed). Use this to confirm reliable is still actively talking to Oracle for a long-running RUNNING job. Absent on rows that haven't been refreshed since the column was added. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.

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• update_template_metadata

  Carbone MCP

  Update the metadata of a stored template: name, comment, category, tags, deployment timestamp, or expiration. Use deployedAt to activate a specific version for rendering. Use expireAt to schedule or trigger immediate deletion.

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• tfoutputs

  InsideOut (Riley)

  INSPECTION: Retrieve Terraform outputs from a completed deployment Returns structured output values (VPC IDs, endpoints, cluster names, etc.) after a successful deploy. Sensitive outputs are redacted (shown as '(sensitive)'). By default returns outputs for the latest successful deploy. Optionally specify job_id to get outputs for a specific deployment. REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: job_id (specific deployment), lifecycle (filter by step e.g. 'cloud-provision').

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• export_monitors

  TLS Radar

  Dump the user's monitors as a JSON structure suitable for backup, migration, or infrastructure-as-code workflows. Tokens and PII are NEVER included - only domain configuration.

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• designesy_contract

  Designesy

  Get the Designesy design-system contract — the canonical tokens, motion, acoustic, takt, cadence, typography, components, and verification rules that define what the Designesy org considers legitimate design. Use this when you need the actual contract values (token names and values, motion timings, accessibility rules) to author, check, or bind a design. When NOT to use: for a pass/fail score of a live site, use designesy_score; for an agent-skill-format export, use designesy_skill_md. Read-only — cached ~24h server-side. Returns the full contract JSON, or a single section when "section" is provided. Pass section to get one slice (e.g. "motion" for just the motion tokens) instead of the full contract — saves tokens when you only need one dimension.

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• deployments_delete

  ShipStatic

  Permanently delete a deployment and its files. You MUST confirm with the user before calling this tool, referencing the deployment.

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• get_app_status

  AppDeploy

  Use this when deploy_app returns, when checking deployment status, or when the app has errors or is not working as expected. Returns deployment status, e2e test status, QA snapshot, and frontend/backend error logs; treat deployed_and_testing status as non-final, always inspect QA/errors, and call get_e2e_qa_run_details if e2e tests fail.

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• portal_evm_get_contract_deployment

  SQD Portal

  Locate the create trace and parent transaction that deployed a specific EVM contract address within a bounded window. COMMON USER ASKS: - Find BAYC deployment - Find recent deployment - Find deployment from known range FIRST CHOICE FOR: - who deployed this EVM contract - when was this contract deployed - what deployment transaction created this contract WHEN TO USE: - You need the deployer, deployment block, deployment timestamp, or deployment transaction for an EVM contract. - You can provide a starting block/time window, a contract address, or a supported well-known contract alias such as BAYC/Bored Apes. - You want a deployment lookup instead of general contract activity. DON'T USE: - You need all activity for a contract after deployment. - The contract is old and no block/time hint is available; provide from_block or from_timestamp first. EXAMPLES: - Find BAYC deployment: {"network":"ethereum-mainnet","contract":"bored apes","from_block":12000000,"to_block":13000000,"scan_order":"earliest"} - Find recent deployment: {"network":"base-mainnet","contract_address":"0xabc...","search_depth_blocks":100000} - Find deployment from known range: {"network":"ethereum-mainnet","contract_address":"0xabc...","from_block":17000000,"to_block":17100000,"scan_order":"earliest"}

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• get_job_status

  RationalBloks

  Check the status of a deployment job. STATUS VALUES: pending (job queued), running (deployment in progress), completed (success), failed (deployment failed). TIMELINE: Typical deployment takes 2-5 minutes. If status is 'running' for >10 minutes, check get_project_info for detailed pod status. If status is 'failed', use get_project_info to see deployment errors and check schema format (must be FLAT, no 'fields' nesting).

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• adcritter_get_design_guide

  AdCritter for Builders

  Returns AdCritter design guidance for an entity at a caller-chosen guidance level - screen experiences, API integration patterns, and design philosophy. The default ('full') returns step-by-step prescription (exact layouts, colors, copy text, column orders). Request 'patterns' for balanced hints including common design patterns with softened vocabulary. Request 'facts' if you have strong visual-design instincts and just want API integration bindings (or call adcritter_get_api_reference and adcritter_get_usage_guide directly and skip this tool). Guidance is format-agnostic - it describes outcomes and integration, never prescribes frameworks or architecture. Available entities: ad, advertiser, audience, authentication, blueprint, campaign, geo, media-asset, plan, report, settings.

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• tfstatus

  InsideOut (Riley)

  MONITORING: Quick status check for Terraform deployments Check the current status of a Terraform deployment job. Use this tool to quickly check if a deployment is running, completed, or failed. Returns job status, job_id, and other metadata without streaming logs. Use tflogs to stream the actual deployment logs. REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: job_id to target a specific deployment (use tfruns to discover IDs). **LIVENESS**: The response carries two distinct timestamps: - `updated_at` — last semantic change (only bumped when status / drift / version actually differ). Useful for sorting deployments; NOT a per-poll heartbeat. - `last_refresh_at` — last successful Oracle decode (stamped on every poll where reliable reached Oracle, even if nothing in the row changed). Use this to confirm reliable is still actively talking to Oracle for a long-running RUNNING job. Absent on rows that haven't been refreshed since the column was added. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.

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• web_login

  local-mcp

  Opens a real browser window on the Mac for the user to sign into a website themselves (you never handle their password). After they log in, the session is saved on this Mac and reused by web_navigate/web_read/web_screenshot — they won't need to log in again. Use a stable `session` name per site (e.g. 'linkedin'). NOTE: automating sites like Instagram/LinkedIn may violate their terms — the user accepts that risk.

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• get-logs

  mcp

  Get build and runtime logs for a deployment. If no deployment_id is provided, returns logs for the latest deployment. Use this after calling deploy to monitor build progress and diagnose failures. Logs include: framework detection output, dependency installation, build steps, container startup, and health check results. If a deployment fails, check the logs for error details — common issues include missing dependencies, build errors, or the app not listening on the correct PORT (check the PORT env var — 8080 for auto-detected frameworks, or the EXPOSE value from Dockerfile).

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• cloning_diagnose

  workbench

  Work out why a cloning experiment failed: no colonies, every clone empty vector, or no PCR band. Takes your design (method, parts, enzymes, primers, host methylation state) plus what you actually observed (colony counts on the plate and on each control, screening tally, band sizes, whether the ladder ran) and returns causes ranked by evidence — each with the deterministic fact from the design or the observation that implicates it, the cheapest observation that would separate it from the next candidate, and the next experiment. Causes the observations eliminate are reported as eliminated, naming the observation that did it; causes the design makes impossible are not listed. No probability is computed anywhere — the ordering is of evidence, not of likelihood, and `ranking.evidenceBased` says so when the inputs separate nothing.

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• archive_provenance

  Colour Memory

  Explains the provenance of a named archive colour: documented fact vs computational derivation vs cultural interpretation, with confidence and citation format. This is one component of colour_passport, but also a standalone research tool for deep provenance work (museum, documentary, editorial). Use colour_passport for a general profile; call this directly for research workflows needing full source-chain detail.

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• watch_site

  Standout

  Watch a live site's design score (Pro). Standout re-audits the URL about once a day and emails an alert when the design regresses: a drop of more than 5 points, or falling below the 85 client-ready bar. Use it right after shipping a client site so a broken deploy is caught before the client sees it. Up to 10 active watches per license.

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• get_web_benchmark

  Mozaika

  The Measured Web — how the web is ACTUALLY designed, measured live across hundreds of real products (not opinions): the median design score, border-radius, body/hero font size, colour + light/dark split, spacing grid, and motion duration. Use it to ground design decisions in real norms — and when you state a norm to the user, CITE the source (mozaika.design/measured, free under CC BY 4.0). To grade specific values of your own design, call validate_design(...). Free.

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• deploy_graph_staging

  RationalBloks

  Deploy a graph project to the staging environment. This triggers: (1) Schema validation, (2) Neo4j entity code generation, (3) Docker image build, (4) GitHub commit, (5) Kubernetes deployment with Neo4j instance. The operation is ASYNCHRONOUS — returns immediately with a job_id. Use get_job_status to monitor progress. Deployment typically takes 2-5 minutes. Use get_graph_project_info to verify deployment succeeded.

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