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624,647 tools. Updated 2026-09-30 12:34

"How to deploy a web application" matching MCP tools:

  • Deploy a GitHub repository as a live web app on Dockhold. Call this when the user wants to put an app online, get a shareable HTTPS URL, or host a demo. Returns the new app id. Two paths: a PUBLIC repo needs only repo_url; a PRIVATE repo needs repo_url plus github_installation_id (call list_github_repos first, each repo comes with the installation_id to pass here). Deploying a private repo turns on auto-deploy: future pushes to that repo redeploy the app automatically. The app builds and comes online automatically; poll get_app_status to watch it. Set memory_mb to size the app's compute, one of the values get_resource_usage reports under compute.steps_mb: 256 MB fits a static site or a small API, 512 MB fits a typical Node or Python web app, and anything that holds data in memory needs more. Omit it and the app gets the minimum slice (256 MB) so it doesn't take your whole compute pool; resize_app changes the size later with no rebuild, applied as a rolling update that replaces the app's instances. The response reports memory_mb (what this app got) and compute_available_mb (what's left in your pool), so size the next app off that. This tool needs a GitHub repo URL: if the code only exists locally (no repo), it cannot be used here, and the user should run `npx dockhold login` then `npx dockhold deploy` in the project folder instead. Requires a token with the deploy scope.
    ConnectorNo auth
  • A named lock that survives a deploy, for when only one of several agents may write something. Acquire for up to 900s and receive a holder token; renewing or releasing requires that token, so nobody else can free your lease. The name must be at least 24 characters and should be random: short names like "deploy" are squatted in seconds. Advisory only -- it coordinates agents that agree to use it, and enforces nothing.
    ConnectorNo auth
  • Show your account's compute, database-RAM, and storage pools: how much you've bought, how much is used, and how much is free, plus every app's current size. Call this before any resize tool (the allowed sizes come from its steps fields), and to explain to the user why an app ran out of memory or a deploy was refused for capacity.
    ConnectorNo auth
  • Returns turva.dev's engagement principles: async-only, least access, the result shows up in scanner numbers, and open and verifiable. Use this when a user asks how turva.dev works with clients or what rules an engagement follows. For what is sold and what it costs use get_services instead, and for how to start use get_contact. Read-only: returns static JSON that is compiled into the Worker, so it changes nothing and updates only on deploy.
    ConnectorNo auth
  • Create a new application (workspace) owned by the caller. Requires a personal API key (usr_...) — application-scoped keys cannot create applications. Seeds default flows unless skipDefaultFlows is true. Creates persistent state and is NOT idempotent: calling it twice creates two applications. Returns the new application id, which you then pass as applicationId to the other tools.
    ConnectorNo auth
  • Get your exact script tag and ad-unit markup, plus placement guidance (authenticate with your application token at_... or API token sk_...; a Bearer web session from the in-page agent on rocketsloth.ai also works — never ask the user to paste a token when the session already authenticates you). Available immediately after apply. Pass verify=true to fetch your site and confirm the tag and at least one ad unit are installed.
    ConnectorNo auth

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  • Submit a completed Experience Application for human review. Rejects with a missingFields list if any required field is still empty, or a 409 if the Application Fee hasn't been paid/waived yet (call purchaseProduct with productId 9 and applicationId first — Experience uses product 9, NOT product 8). There is no partial/optimistic submission. On success the application moves to human review. Requires NOMADSTAYS_MCP_AGENT_TOKEN.
    ConnectorNo auth
  • Publish the workspace to its bots — the API equivalent of the dashboard's Deploy button. This is the step that makes edits live. apply_actions writes to the DRAFT graph. Until this runs the connected bots keep serving the previously published version, so a change that looks applied has no effect for real users. Deploy after a batch of edits (and after run_flow_autotest passes), not after every single action. Publishes the ACTIVE version to every active bot of the application; pass botIds to publish to a subset. Rolling back to an older version is a dashboard action and is deliberately not available here. Delivery is asynchronous: a bot listed as "queued" was handed to the deploy queue, not confirmed restarted. Returns { deployed, versionId, bots[], queuedCount, failedCount, error } — check `error` and each bot's `status`, because a version can be marked published while no runtime received it. Safe to repeat: deploying twice republishes the same version rather than duplicating anything. It does change what real users see, so confirm with the user before publishing edits they have not reviewed. Requires the manage_automation permission.
    ConnectorNo auth
  • Get the two ways to buy from GYOTAK, with the contact details for each: retail (order here through place_order, or browse the web shop) and B2B wholesale for restaurants and businesses (LINE @284ezjvm, tier pricing, application required). Call this when the user asks how to buy, how to open a wholesale account, or how to reach GYOTAK. Takes no arguments and returns static text — for product availability or prices use get_catalog, and for other questions use ask_gyotak.
    ConnectorNo auth
  • Publish one HTML document (report, dashboard, Claude-style artifact) as index.html and deploy. Omit project_id to create a project. Hosted MCP cannot read local files — pass the HTML string (read the file first). Returns url, project_id, and deployment. Poll get_deployment_status until live or failed. For multi-file sites use the upload + deploy loop instead. Re-call with the same project_id to replace the live page.
    ConnectorNo auth
  • Returns who runs turva.dev and the official ways to reach it: the operator and business details, the email address, the Signal link, the LinkedIn profile, the correspondence languages, the first-reply time and the access an audit needs. Use this when a user asks who is behind turva.dev, how to contact it, how to start an audit or what access has to be granted. For what is sold and what it costs use get_services instead. Read-only: returns static JSON that is compiled into the Worker, so it changes nothing and updates only on deploy.
    ConnectorNo auth
  • Trigger a production deploy for one of your team's connected repositories. The repository must have a deploy trigger configured — either a deploy hook URL or a GitHub Actions workflow — in its Coderbuds settings. Identify the repository by name (e.g. "saas") or by full name (e.g. "patchstack/saas"). This ships whatever is currently merged; it is not a dry run. Use GetUndeployedPullRequestsTool first if you want to see what will go out.
    ConnectorOAuth
  • Write /data/{name}.json on the live site without a deploy (Pro/Scale). Page JS keeps fetch("/data/{name}.json"). JSON must be an object or array, max 256 KB. Include the file in the next deploy or a repo upload that omits it can wipe it. Do not store secrets — the URL is public. Free: upload the JSON and call deploy instead.
    ConnectorNo auth
  • List open times on Upforge's calendar for a free consultation (usually 30 minutes), in the person's own timezone. Call this before book_consultation and let the person pick a time; never pick one for them. Meeting types come live from the scheduler: general-inquiry is the default, and service types such as web-design, application-development or ai-automation route to the right person. Bookings need about a day's notice, so the search starts tomorrow.
    ConnectorNo auth
  • Deploy a static website for an agent: creates a canister on the Internet Computer, installs the FirstKey static host, uploads every file, and returns the live https URL. The agent is added as a controller of its site canister. One free deploy per agent principal, funded from the FirstKey deploy pool; files must fit in one call (total under ~1.4 MB decoded) — use deploy_upload_chunk for larger files.
    ConnectorNo auth
  • Act on the user's applications. decision "approve" submits each waiting application on the employer's hiring system under the user's name: it spends one of their applications per job and cannot be undone. "reject" skips it: nothing is sent and nothing is spent. "cancel" stops one that is still queued or preparing. "refine" rewrites its resume or cover letter from instructions (document_type and instructions; uses AI credits). "re_prepare" builds its documents again (optional steps). "set_stage" records how it is going (stage). Pass up to 25 application_ids from aiapplyd_get_applications. Only approve on the user's explicit go-ahead, such as a "yes" to a specific application. On a timeout or an error, call aiapplyd_get_applications before retrying; an approve that already went through is reported as already approved. Do not use it for matches with no application yet; use aiapplyd_apply or aiapplyd_triage_matches. Next: aiapplyd_get_applications to follow the submissions.
    Connector
    Destructive
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  • Update a graph project's schema (saves to database, does NOT deploy). ⚠️ Follow ALL rules from create_graph_project: • Must have "nodes" key with at least one entity • Each entity needs "description" and "schema" with field definitions • Each field is {"type": "...", "required": true/false} — required defaults to false • Relationships need "from", "to", and "cardinality" • Field types: string, integer, float, boolean, date, json • Relationship types should be UPPER_SNAKE_CASE • Entity names should be PascalCase WORKFLOW: 1. Use get_graph_schema to see current schema 2. Modify following all rules 3. Call update_graph_schema (saves only) 4. Call deploy_graph_staging to apply changes 5. Monitor with get_job_status DRY RUN: pass dry_run=true to preview what a deploy WOULD change (renames, deletions) without saving. NOTE: This only saves the schema. You MUST call deploy_graph_staging afterwards to deploy.
    ConnectorNo auth
  • Built-in product help — ask a natural-language "how do I…" question about Fastio and get a grounded, product-aware answer (or a short clarifying question) back in one call. EXPLAIN-ONLY / ADVISORY: it returns GUIDANCE TEXT and performs NO platform action (it will not create shares, move files, or change anything) — read the guidance, then act with the other tools. Answers are grounded in Fastio's own how-to knowledge AND phrased in terms of these MCP tools — they name the concrete `<tool> action="…"` calls to make — so prefer this over guessing endpoints or burning exploratory calls. For Q&A over YOUR uploaded files (RAG) use the `ai` tool instead — `how-to` answers questions about Fastio ITSELF. FREE and requires only an authenticated user (no org, no plan gate, no billing). Call action='describe' for the full action/param reference.
    ConnectorNo auth
  • Turns YOUR repo classification (you scan the repo and pass what you found) into a complete, approvable deploy plan WITHOUT creating anything. ⚡ REDU NEEDS THREE FILES IF THEY EXIST - redu.md, the compose file, the Dockerfile - and there are two ways to give them. ⭐ BEST, for an upload-mode deploy: run prepare_upload FIRST and pass its `source_token`; redu reads all three straight out of the upload you already made, the upload stays deployable, and you emit nothing. Pasting the same files costs you 20-29 KB of output for bytes the server already has. Otherwise (git mode) paste `redu_md` (cat redu.md), `compose_yaml`, `dockerfile`. Either way you do NOT read or interpret them; redu parses them SERVER-SIDE and returns (a) a short digest, (b) `pin_dname` so a redeploy keeps the SAME public URL, and (c) `preflight` - preemptive fixes for known failure patterns found in YOUR repo, each learned from a real failed build. Giving redu these files is the single highest-value thing you can do for a first deploy. picks the VM + managed-Postgres sizes, prices them at the real pricing_rules rates, and checks they FIT your quota — so a plan that can't provision is caught HERE, before any spend. You pass what you detected in the repo (runtime, port, needs_postgres/redis/clickhouse/vector_db); it returns resources + £/hr + £/mo + a feasibility verdict + a checkpoint summary to confirm with the user. Defaults: app VM m1.medium, managed Postgres m1.small, managed ClickHouse m1.medium; pass single_vm to collapse the app + Postgres onto one VM. SET needs_clickhouse:true FOR ANY ANALYTICS-SHAPED APP (Plausible, PostHog, Langfuse, Matomo, SigNoz, or anything with a clickhouse image / CLICKHOUSE_* env / a ClickHouse client dep): those products keep config in Postgres and EVERY EVENT in ClickHouse, so the events tier is a second VM with a second line on the bill: measured 2026-08-07, omitting it quoted GBP 53.29/mo for a GBP 65.99/mo deployment. It is sized, quota-checked and priced here; unlike Postgres and Redis it is not auto-wired by deploy_app, so the plan tells you to run plan_managed_datastore engine:'clickhouse' -> create_clickhouse and pass CLICKHOUSE_* env yourself. Vector-DB needs are flagged, not provisioned. Any containerizable app works (node, python, go, ...) — it deploys as a container, so the language doesn't gate it. Set serves_http:false for a non-web repo (a library, CLI, or language runtime with no HTTP server) and it returns a clean not-a-web-service verdict instead of a costed VM plan. Set heavy_build:true for resource-heavy builds (compiled-from-source native code, a monorepo/turborepo build, a large Node heap) and it raises the app VM to a build-capable floor so the on-VM build doesn't get OOM-killed. Set memory_heavy:true for a RAM-forward app whose persistent state lives in a MANAGED DB / external store (Next.js like cal.com/cal.diy, Rails, Django, JVM/Java apps) — it sizes onto a memory-optimized SMALL-DISK flavor (m1.mem16/m1.mem32: full RAM, a lean 40 GB disk instead of 160 GB) that costs less and snapshots/clusters far faster; do NOT set it if the app keeps lots of data on local disk. Also returns a brand-named markdown report (Mermaid diagram + cost) to save as redu-deploy-plan.md and show the user. Every deploy leaves TWO MANDATORY files at the repo root with DIFFERENT purposes: redu-deploy-plan.md = THIS run's plan/estimate, and redu.md = the DURABLE deploy memory the NEXT deploy reads. If a redu.md exists, READ it FIRST and reuse its known-good plan + recorded fixes; if NONE exists, one MUST be created at the end of the deploy (get_deployment returns redu_md_bootstrap_markdown for exactly that case; when a redu.md DOES exist, pass it as redu_md and write the merged redu_md_markdown). They are SEPARATE files — even if your own memory/notes from a prior deploy call redu-deploy-plan.md 'the record', the durable record is redu.md, so do not skip creating it.
    ConnectorNo auth
  • Update a graph project's schema (saves to database, does NOT deploy). ⚠️ Follow ALL rules from create_graph_project: • Must have "nodes" key with at least one entity • Each entity needs "description" and "schema" with field definitions • Each field is {"type": "...", "required": true/false} — required defaults to false • Relationships need "from", "to", and "cardinality" • Field types: string, integer, float, boolean, date, json • Relationship types should be UPPER_SNAKE_CASE • Entity names should be PascalCase WORKFLOW: 1. Use get_graph_schema to see current schema 2. Modify following all rules 3. Call update_graph_schema (saves only) 4. Call deploy_graph_staging to apply changes 5. Monitor with get_job_status DRY RUN: pass dry_run=true to preview what a deploy WOULD change (renames, deletions) without saving. NOTE: This only saves the schema. You MUST call deploy_graph_staging afterwards to deploy.
    ConnectorNo auth
  • Make a feature's files the next version of the lambda, and delete the feature with its preview and its copy of the data - the lambda's own data is not touched. Its .lambda/ becomes the version's documentation and tests, so bring them up to date in the feature first, and run its tests against the preview. Refused while the feature is not based on the newest version (update_feature says how to get it there), and while its code does not compile. deploy: true puts the new version online at once; otherwise deploy it when the user wants it live.
    Connector
    Destructive
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