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PlugLayer MCP Server

Deploy and manage your infrastructure through natural language with any MCP-compatible AI assistant.

Public plugin setup

Public PlugLayer plugins use the hosted MCP endpoint with OAuth. In the PlugLayer portal, choose Codex, Claude Code, Cursor, or Antigravity, copy the setup prompt, paste it into the agent, and approve PlugLayer in the browser. The agent stores and refreshes its OAuth connection. No Python, uv, terminal, desktop app, or API token is required.

The local commands below are an advanced developer path for explicitly running an MCP server on the same machine.

Local installation

PLUGLAYER_API_KEY=your-pluglayer-api-token uvx pluglayer-mcp

This local command mode uses the MCP stdio transport by default, which is the right mode for Cursor, Claude Code, and other editor-launched command servers. The pluglayer-mcp command now always uses stdio so editor clients cannot accidentally switch it into HTTP mode.

Option 2: pip

pip install pluglayer-mcp
PLUGLAYER_API_KEY=your-pluglayer-api-token pluglayer-mcp

Configuration

For editor installations, PlugLayer also reads ~/.pluglayer/credentials.env on every tool call. Saving or rotating PLUGLAYER_API_KEY (and optionally PLUGLAYER_API_URL) there takes effect on the next call without restarting the server. A client's OAuth or generic mcp_auth action does not configure credentials for a local stdio server.

Claude Desktop

Add to ~/.config/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "pluglayer": {
      "command": "uvx",
      "type": "stdio",
      "args": ["pluglayer-mcp"],
      "env": {
        "PLUGLAYER_API_KEY": "your-pluglayer-api-token"
      }
    }
  }
}

Cursor

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "pluglayer": {
      "command": "uvx",
      "type": "stdio",
      "args": ["pluglayer-mcp@latest"],
      "env": {
        "PLUGLAYER_API_KEY": "your-pluglayer-api-token"
      }
    }
  }
}

Use either this manual registration or the PlugLayer Cursor plugin's bundled server, not both. If both appear in Cursor's Tools & MCP settings, disable or remove the manual copy so tool calls cannot land on servers with different authentication state.

Remote HTTP (hosted)

The remote MCP server runs at https://mcp.pluglayer.com/mcp and uses OAuth metadata discovery. Add that URL in an agent's remote MCP settings and choose browser authentication; do not paste a PlugLayer API token into chat.

If you intentionally want to run the package itself as an HTTP MCP server, use:

pluglayer-mcp-http

Release Checklist

Before publishing a new pluglayer-mcp build:

  1. Confirm local command mode still uses stdio by default.
  2. Confirm PLUGLAYER_API_URL override works when pointed at a dev API.
  3. Let the publish workflow stamp the package version from the UTC date/time, unique GitHub run ID, and run-attempt number. Do not reuse a published PyPI version or artifact filename.
  4. Publish from the public repo main branch after reviewing the dev -> main PR.

After publishing:

  1. Restart Cursor, Claude Code, or the MCP client you are testing.
  2. If the editor still behaves like an older MCP build, remove and re-add the MCP server entry, then restart the editor.
  3. Re-test with a simple command such as:
    • get_current_user
    • list_projects
    • get_compute_summary
    • list_my_feedback

Cursor Notes

  • For command-based MCP setup, use uvx pluglayer-mcp.
  • Do not force HTTP transport for local editor usage.
  • pluglayer-mcp always uses stdio, which is the correct transport for Cursor-launched command servers.
  • Only use pluglayer-mcp-http when you intentionally want to run the package itself as an HTTP MCP server.

Available Tools

The MCP calls the PlugLayer FastAPI backend instead of re-implementing backend business logic. Auth, roles, ownership, compute guards, and k3s orchestration remain in the backend. MCP and editor plugins should authenticate with a PlugLayer API token created in the PlugLayer Settings page, not the browser/session auth token.

Managed registries are configured by PlugLayer admins in the platform UI/API. When deploy_image uses mirroring, the backend picks a registry the current user is allowed to use and keeps Kubernetes pull secrets in sync automatically.

Runtime networking and replicas

get_app_access_policy and update_app_access_policy expose outbound policy separately from public ingress. egress_mode=deny_all permits DNS and same-project service traffic but blocks internet destinations. Use egress_mode=allow_cidrs with explicit IP/CIDR entries for a small set of external endpoints; the backend applies this as a per-app Kubernetes NetworkPolicy. allow_all preserves the platform's normal HTTP/HTTPS egress.

replicas creates independent pods. Public routes do not promise cookie or header session affinity, and HPA-style CPU autoscaling is not currently available through MCP. Stateful WebSocket or room-based services should use a single replica or externalize room state and routing until those controls are introduced.

Databases are a first-class Data Layer workflow in MCP. When a user needs a new database, wants to know whether one already exists, asks for a connection string, or needs env vars to wire an app to a database, the preferred MCP path is:

  1. list_user_databases
  2. if needed, list_database_templates
  3. check_slug_availability
  4. optionally check_database_slug_availability
  5. create_database
    • the MCP tool resolves required deploy-time database env vars itself
    • password/secret/token/key fields are generated there when the template expects a random value
    • database-name placeholders are filled from the chosen app name
  6. get_task_status
  7. get_database_connection_details
  8. optionally get_database_logs when troubleshooting
  9. use update_database_access, restart_database, or remove_database for follow-up lifecycle actions

After provisioning a database, the assistant should proactively suggest or apply exact env var updates for dependent apps instead of leaving the user with only a raw connection string.

Marketplace template deployment through MCP now supports both:

  1. deploying into an existing project by project_id
  2. creating a new project inline by passing project_name
Tool Description
get_current_user Show the Authentik-backed user and roles
get_user_context Load the caller's stored user memory/context
update_user_context Update the caller's stored user memory/context
submit_feedback Submit authenticated, redacted product feedback with optional affected-tool, expected/actual behavior, error, and page context
list_my_feedback List the authenticated user's feedback tickets and statuses
get_feedback Inspect one feedback ticket and its current resolution note
update_my_feedback Update the title or description of an owned feedback ticket without changing its admin-managed status
list_projects List authenticated user's projects
get_my_projects Alias for listing the current user's projects
create_project Create a new project namespace
rename_project Rename a project's display name without changing its slug, namespace, or existing app URLs
update_project_metadata Update a project's display name and/or description without changing routing identity or custom domains
get_project Get project details, current apps in the project, and attached custom-domain state
remove_project Remove one of the user's projects by deleting its apps first, requesting namespace cleanup, and then archiving the project record/history
delete_project Alias for remove_project
get_compute_summary Show account-level capacity, or pass project_id for attached-node recorded allocation plus live scheduler headroom; estimate first when sizing is unclear
get_my_available_compute Show the current user's available compute capacity; pair with estimate first for planning
get_my_available_computes Alias for available compute capacity
estimate_compute Estimate required compute, monthly price, and a tailored offer link; preferred before purchase/allocation decisions
list_nodes List accessible compute nodes
list_attachable_project_nodes List owner-held dedicated nodes and their project attachment state; legacy records that duplicate another physical worker are explicitly blocked
attach_node_to_project Attach an available dedicated node to one project (owner-only, idempotent)
detach_node_from_project Detach an unused dedicated node after explicit confirmation; active apps block it
list_registries List the registries currently available to the user
deploy_image Mirror a Docker image into PlugLayer's managed Docker Hub namespace, then deploy it after backend compute checks; if a similar app already exists and the namespace is full, use update/replace flow instead of a brand-new app
upload_image_archive_and_deploy Upload a locally built Docker or OCI tar archive from the user's machine; if the target app already exists, switch to the app upload-first redeploy flow, otherwise create and deploy a new app
upload_image_archive_and_redeploy_app Upload a newly rebuilt Docker or OCI tar archive for an existing app, using retry-safe chunks for archives over 16 MiB; push it with a new tag, keep the slug unchanged, and queue that app's redeploy
deploy_compose Analyze docker-compose.yml, split it into separate deploy units, route known databases through Data Layer templates, deploy remaining services as separate apps, and require uploaded archives for local-build services
analyze_compose_deploy_plan Preview how PlugLayer will split a docker-compose stack into Data Layer databases, separate compose apps, and local-build image services
get_compose_local_build_commands Generate exact docker buildx, smoke-test, and OCI export commands for local-build compose services before they are uploaded and deployed
list_deployments List running apps/deployments
get_apps_by_project List apps inside a specific project; use this before deploy when you need to clarify update vs replace vs separate new app, especially when a full namespace should block duplicate new-app deploys
check_slug_availability Check whether a PlugLayer slug is free inside a project before deploy or rename
get_deployment_status Check app status and URL
get_logs Get app logs
get_app_logs Alias for getting app logs
get_app_access_policy Read saved IP allowlist, HTTP/TCP limits and exposure without env/connection secrets
update_app_access_policy Replace a complete app ingress policy through backend permission checks; exact app name and all values required
get_app_connection_env_vars Get concrete connection env vars and connection strings for an app/database so dependent apps can be updated correctly
apply_app_env_vars Securely import arbitrary runtime env vars from dotenv/KEY=VALUE, JSON, YAML text, or a direct key/value object; merge or replace, then optionally restart/redeploy without returning values
list_marketplace_templates List deployable marketplace templates before choosing one for a project
get_marketplace_template Inspect one marketplace template, including its required env vars
deploy_marketplace_template Deploy a marketplace template into an existing project or create a new project inline during the same MCP flow
exec_app_terminal Execute a command in the caller's own deployed app container with a fixed 360-second timeout; keep terminal input at or below 10,000 characters and about 350 lines
redeploy Redeploy an app after confirming the exact app name; the existing slug stays unchanged
restart_app Restart an app through a verified rollout; completion requires the task's new pod-template revision to be live
rollback Roll back to previous version
remove_app Remove one of the user's apps, tear down its runtime workload, revoke active routing, and mark it as removed
delete_app Alias for remove_app
delete_deployment Alias for remove_app
list_database_templates List ready-to-deploy database templates
list_user_databases List the caller's provisioned databases, optionally by project
check_database_slug_availability Check whether a Data Layer slug is free in a project before provisioning or renaming a database
create_database Provision a database from a template after backend compute and project checks, resolving password-like env vars inside the MCP flow first
get_database_connection_details Get connection strings, env vars, and docs for a provisioned database
sync_database_env_to_app Patch one app's env vars from a provisioned database's concrete connection fields, then restart the existing app
get_database_logs Read logs from a provisioned database app
update_database_access Update the public TCP IP allowlist for a provisioned database
restart_database Restart a provisioned database by queueing its restart flow
remove_database Remove a provisioned database and tear down its runtime workload/routing
delete_database Alias for remove_database
list_project_domains List custom domains for a project
get_domains_by_project Alias for project-domain lookup; use this before asking which domain the user wants so existing project domains can be offered as options
detect_custom_domain_provider Detect the likely DNS provider and authoritative zone so the user can confirm them before DNS instructions are shown
add_custom_domain Add a single or wildcard custom domain and return provider-friendly DNS records; explains that root and www need separate routing or an explicit redirect, and rejects GoDaddy apex CNAME attempts with a supported www + 301 forwarding path
verify_custom_domain Verify TXT/CNAME DNS and activate if attached
attach_custom_domain Attach a verified custom domain to an app
detach_custom_domain Detach a domain while keeping verification
get_task_status Poll async operation progress
inspect_local_github_repo Check whether the local repo has git plus a GitHub origin configured
generate_github_actions Get GitHub Actions YAML for a 3-step PlugLayer CI/CD flow: build OCI image, upload it to the same app id, then merge env vars and restart/redeploy

Example Conversations

Deploy your first app:

"I have a FastAPI app at ghcr.io/myorg/api:latest that runs on port 8000. Deploy it into my production project in my cloud."

Convert docker-compose:

"Here's my docker-compose.yml: [paste]. Deploy this to PlugLayer."

CI/CD setup:

"Generate a GitHub Actions workflow for my api app so every push rebuilds it, uploads it to PlugLayer, and redeploys the same app id."

The generated workflow expects:

  • public reusable actions from pluglayer/actions
  • required secrets:
    • PLUGLAYER_API_KEY
  • optional secrets:
    • PLUGLAYER_API_URL (defaults to https://api.pluglayer.com)
    • PLUGLAYER_BUILD_ENV_JSON (JSON object of build-time env vars/build args to inject during image build)
    • PLUGLAYER_ENV_JSON (JSON object of runtime env vars securely imported before the final restart)

Add a custom domain:

"Add api.example.com to my production project, detect the provider, show me the DNS records in a table, then verify it and attach it to my API app."

For a root/www website pair, say whether both hostnames must work. PlugLayer routes exact hostnames, so example.com is not automatically covered when only www.example.com is attached. Configure the root separately or redirect it to www, then test a nested path such as /page-1 on both names.

Provision a database and wire the backend to it:

"Create a Postgres database in my marketplace project, check whether the slug postgres is available first, and after it finishes show me the connection env vars so we can update my backend."

Reuse an existing database instead of creating a new one:

"Check whether I already have a Mongo or Postgres database in my project. If I do, show me the connection details and suggest the backend env vars I should update."

Getting Your API Key

  1. Go to PlugLayer Settings
  2. Create a PlugLayer API token
  3. Copy it once and store it safely
  4. Use it as PLUGLAYER_API_KEY for MCP, editor plugins, and the 3-step CI/CD actions flow

Template authoring

Use get_template_authoring_schema and preview_template_compose before saving with create_template_draft. The tools also list/read/update/clone/delete private drafts, submit for admin approval, expose launch context/planning/sessions, and update existing apps from templates. deploy_marketplace_template handles test deployments and accepts database_bindings. Public template tools do not publish or approve; those actions remain in the private Admin Center.

Run python scripts/test_local_template_mcp.py from this package for a focused read-only local stdio smoke using saved credentials. The new backend routes must be released before the corresponding MCP/plugin release can pass this check.

App security checks and traffic controls

“Check my apps” or “check my app security” starts with app inventory, status, recent runtime logs, and get_app_access_policy. The four public plugins bundle check-app-security and manage-app-access to distinguish abusive traffic from app faults, preserve legitimate clients, and carry authorized mitigations through verification. Check-only requests produce findings and concrete proposals.

update_app_access_policy uses PUT /v1/plugin/apps/{app_id}/access and the same backend workflow as the portal. Read the existing policy first and provide all values, including the unchanged ones. An empty allowlist opens source access; CIDRs must represent approved trusted clients, not suspected attackers. HTTP limits count requests per peer IP/route/Traefik instance; TCP limits cap concurrent connections. Neither replaces app authentication, and internal traffic bypasses public ingress controls. Saves need no restart.

Release the matching backend route before the MCP/plugins. Validate local stdio reads with python scripts/test_local_app_security_mcp.py; it uses saved public credentials and never changes live app settings or prints logs. This smoke does not prove policy writes or client enforcement; test those only on an explicitly authorized disposable app before releasing the update feature.

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