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225,465 tools. Last updated 2026-06-22 19:16

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

  • Poll the current status of a token deployment by its intentId. Use this after ava_deploy_token times out, or to check progress of an ava_create_token_intent flow. Returns: status ('deploying' | 'deployed' | 'failed'), contractAddress and explorer links when deployed, errorMessage on failure. Poll every 5-10 seconds. Most deployments complete within 60 seconds. Possible errors: insufficient fee sent, gas spike, RPC timeout — check errorMessage field.
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  • Poll the current status of a token deployment by its intentId. Use this after ava_deploy_token times out, or to check progress of an ava_create_token_intent flow. Returns: status ('deploying' | 'deployed' | 'failed'), contractAddress and explorer links when deployed, errorMessage on failure. Poll every 5-10 seconds. Most deployments complete within 60 seconds. Possible errors: insufficient fee sent, gas spike, RPC timeout — check errorMessage field.
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  • Rollback a project to a previous version. ⚠️ WARNING: This reverts schema AND code to the specified commit. Database data is NOT rolled back. Use get_version_history to find the commit SHA of the version you want to rollback to. After rollback, use get_job_status to monitor the redeployment. Rollback is useful when a schema change breaks deployment.
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  • 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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  • Upload a PNG design (base64-encoded, <=3MB decoded) and receive a durable https url. Pass that url as `design_url` to mu_create_product. Requires `Authorization: Bearer <api_key>`.
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  • 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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    Enables SSH-based deployment operations such as git pull, command execution, script upload/run, and SSH config management.
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Matching MCP Connectors

  • n8n MCP — query your own n8n instance (BYO).

  • Generate design systems: OKLCH color palettes, fluid type scales, spacing, shape and icon tokens.

  • 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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  • 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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  • 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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  • 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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  • Free first-call capability and connection check for AurelianFlo; use it before paid tools to inspect OFAC screening workflows, access modes, and x402 payment requirements.
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  • Get Lenny Zeltser's Malware cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `malware_load_context`. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.
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  • Get Lenny Zeltser's Security Assessment cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `assessment_load_context`. This server never requests your assessment notes or report and instructs your AI to keep them local—the templates and guidelines flow to your AI for local analysis.
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  • Deploy a project to the staging environment. This triggers: (1) Schema validation, (2) Docker image build, (3) GitHub commit, (4) Kubernetes deployment, (5) Database migrations. The operation is ASYNCHRONOUS - it returns immediately with a job_id. Use get_job_status with the job_id to monitor progress. Deployment typically takes 2-5 minutes depending on schema complexity. If deployment fails, check: (1) Schema format is FLAT (no 'fields' nesting), (2) Every field has a 'type' property, (3) Foreign keys reference existing tables, (4) No PostgreSQL reserved words in table/field names. Use get_project_info to see if the deployment succeeded.
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  • Manage frontend deployments, environment variables, and custom domains for a Butterbase app. Actions: - "start_deployment": Start a frontend deployment after uploading your zip file. Call after uploading zip to the URL returned by create_frontend_deployment. Polls until complete (up to 5 minutes). - "list_deployments": List frontend deployment history for an app (read-only). - "create_from_source": Create a source-based deployment and get a presigned upload URL (Mode 1). Upload your source zip to the URL via HTTP PUT with Content-Type: application/zip (max 50 MB). - "start_from_source": Start the build for a source-based deployment (Mode 2). Requires deployment_id from create_from_source and a lockfile_hash. - "set_env": Set environment variables for frontend builds (upserts). - "configure_custom_domain": Manage custom domains. Requires domain_action sub-option. Parameters by action: start_deployment: { app_id, action: "start_deployment", deployment_id } list_deployments: { app_id, action: "list_deployments" } create_from_source: { app_id, action: "create_from_source" } start_from_source: { app_id, action: "start_from_source", deployment_id, lockfile_hash, build_command?, output_dir?, package_manager?, user_env? } set_env: { app_id, action: "set_env", vars } configure_custom_domain: { app_id, action: "configure_custom_domain", domain_action, hostname?, domain_id? } domain_action sub-options: "add": { hostname } — Register a new custom domain "list": {} — List all custom domains for an app "status": { domain_id } — Check verification/SSL status of a domain "remove": { domain_id } — Remove a custom domain "verify": { domain_id } — Trigger re-verification of a pending domain Common errors: - RESOURCE_NOT_FOUND: App or deployment doesn't exist - INVALID_STATUS: Deployment is not in WAITING status (zip may not have been uploaded yet) - UPLOAD_EXPIRED: The upload URL expired before the zip was uploaded - STATE_PREREQUISITE_MISSING: Source zip not yet uploaded (PUT to upload_url first) - QUOTA_FILE_SIZE_EXCEEDED: Source zip exceeds 50 MB - BUILD_FAILED: Build command exited with non-zero status (check logs_url for details) - VALIDATION_INVALID_SCHEMA: vars must be a non-empty object - feature_not_available: Free plan — upgrade to Pro (custom domains) - RESOURCE_ALREADY_EXISTS: Hostname already registered
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  • Sends the user's answer to a follow-up question raised by the design agent during perspective creation, then re-runs the design step. Returns a new pending job_id; long-poll perspective_await_job for the next terminal state. Behavior: - Appends the user's reply to the design conversation and kicks off another design pass. Each call starts another pass. - ONLY valid while the perspective is in DRAFT status. Errors with "This perspective already has an outline. Use the update tool to make changes." otherwise. - Errors when the perspective is not found or you do not have access. - Returns "pending" immediately. perspective_await_job resolves to "ready" (outline generated) or "needs_input" (another follow-up — call this tool again). When to use this tool: - perspective_await_job returned status "needs_input" with a follow_up_question and you have the user's reply. - Continuing the design dialogue before any outline is generated. When NOT to use this tool: - The perspective already has an outline — use perspective_update for revisions. - Starting a new perspective — use perspective_create. - Polling a previously-enqueued job — use perspective_await_job.
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  • Generate SDK scaffold code for common workflows. Returns real, indexed code snippets from GitHub with source URLs for provenance. Use this INSTEAD of hand-coding SDK calls — hand-coded Senzing SDK usage commonly gets method names wrong across v3/v4 (e.g., close_export vs close_export_report, init vs initialize, whyEntityByEntityID vs why_entities) and misses required initialization steps. Languages: python, java, csharp, rust. Workflows: initialize, configure, add_records, delete, query, redo, stewardship, information, full_pipeline (aliases accepted: init, config, ingest, remove, search, redoer, force_resolve, info, e2e). V3 supports Python and Java only. Returns GitHub raw URLs — fetch each snippet to read the source code.
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  • Get Lenny Zeltser's CTI cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `cti_load_context`. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.
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  • [FREE] See all available free SEO tools and recommended workflows. Call this first. FR: Découvrez les outils SEO gratuits et les workflows recommandés.
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  • Assess 2-5 colours as a combination for a given context (UI, data viz, fashion, interior, print, branding). Returns harmony type, clash warnings, contrast summary, and specific deployment rules for the context.
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