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What is a Plugin?

A Plugin is a curated bundle of tools from one or more MCP servers (“connectors”). It gives you a single MCP endpoint you can add to your AI client, while still enforcing all the underlying Runlayer policies and access controls. Plugins are useful when you want:
  • A purpose-built toolset for a workflow (e.g. “Release Management”, “Customer Support”, “On-call”)
  • One connection in your MCP client instead of many
  • A safe, shareable setup (private to you or public within your workspace)
Plugins expose tools and prompts, but no resources. Linked skill files are also available through the get_skill and get_skill_file tools described below.
Plugins installed outside Runlayer are discovered by Shadow AI Detect, and with Enforce hooks installed, their embedded MCP servers are blocked unless they point at Runlayer.

Creating or extending a Plugin

From the Plugins page

1

Open Plugins

Navigate to Plugins in the sidebar.
2

Create a new Plugin

Click Create new and provide a name, optional description, and optional namespace.A namespace (e.g. acme/review) groups related Plugins and ensures a unique (namespace, path) pair. It is optional — leave it blank for one-off Plugins.
3

Choose privacy

  • Private: only you can access it
  • Public: anyone in your workspace can access it
4

Add connectors and pick tools

Select the MCP servers you want, then choose which tools from each server should be included in the Plugin.

From connectors or skills

You can start with the items you want instead of creating an empty Plugin first.
1

Select connectors or skills

Open My connectors or Skills and select one or more cards. Only active hosted connectors can be selected; local, draft, and disabled connectors cannot be bundled into a Plugin.
2

Choose Add to Client

Use the selection bar at the bottom of the page and click Add to Client.
3

Choose a Plugin path

Select one of the available actions:
  • Use the Runlayer Plugin — connect the organization-wide Plugin that includes your accessible connectors and skills
  • Add to plugin — open an existing Plugin you can edit with its missing selected items preselected
  • Create new plugin — start a new Plugin with the selected items preselected
  • View all plugins — browse existing Plugins before choosing

Using a Plugin in an MCP client

Open the Plugin and click Add to Client. Runlayer will generate the correct connection details for your selected client.

Deploy an Agent from a Plugin

From any Plugin detail page, click Deploy as Agent to create a new Agent that automatically inherits the plugin’s connectors and skills. This is the fastest path from a curated toolset to a running agent.

Managing connectors and tools

  • Add connectors: open a Plugin and click Add Connectors
  • Remove connectors: open the connector menu and choose Remove connector
  • Review tools: expand a connector to see the tools included in the Plugin

Dynamic tools

Dynamic tools are an optimization for Plugins with many tools.

How it works

When Dynamic tools is enabled, the Plugin does not expose every underlying tool definition directly. Instead, it exposes two meta-tools:
  • search_tools: search for the most relevant tools by describing what you want to do (returns tool names + descriptions + input schemas)
  • execute_tool: execute a specific tool by name with arguments (typically chosen from search_tools results)
This creates a two-step flow: search → execute.

Why it’s useful

Sending hundreds of tool definitions (names, descriptions, and JSON schemas) to the LLM can push requests onto a “context route” that:
  • Degrades model performance (more noise in the prompt)
  • Increases latency (more tokens processed)
  • Increases cost (larger prompts and tool schemas)
Dynamic tools keeps the prompt/tooling surface small until the model actually needs a specific tool.

When to use it

  • Enable Dynamic tools for Plugins with many connectors/tools, or when tool schemas are large.
  • Disable it for small Plugins where you want the model to see all tools immediately without an extra search step.

Skill tools in Plugins

When a Plugin has linked skills, those skills are automatically exposed through two shared read-only search tools alongside the connector tools: The legacy getSkill and getSkillFile names are still accepted on tool calls for clients with cached tool lists, but only the snake_case names are advertised. This keeps the tool surface small for Plugins with large skill libraries while still giving the model access to every skill through search.

Authoring and syncing with CLI

Runlayer can also publish Claude-format plugins from disk with uvx runlayer plugins push.

Directory structure

Manifest

Runlayer uses .claude-plugin/plugin.json as the plugin manifest and now reads mcpServers from two places: inline in the manifest (preferred) or as a legacy .mcp.json.

How files map to Runlayer

  • skills/*/ become individual Runlayer skills
  • supported non-skill files are bundled into one generated root skill named after the plugin
Supported root-skill file types:
  • .md
  • .txt
  • .sh
  • .py
  • .js
  • .ts
  • .json
Excluded from the root skill:
  • .claude-plugin/
  • skills/
  • .mcp.json
  • .lsp.json
  • settings.json
  • root-level README.md
Nested files like agents/README.md are included.

MCP connector extraction

Runlayer first inspects mcpServers inside .claude-plugin/plugin.json and, if none are present, falls back to .mcp.json. Regardless of where the servers come from, only Runlayer proxy URLs are accepted:
Attached:
  • URLs matching /api/v1/proxy/<server-uuid>/mcp
Skipped:
  • non-Runlayer MCP URLs
  • stdio MCP entries
  • plugin proxy URLs like /api/v1/proxy/plugins/<plugin-uuid>/mcp When you push a plugin that still defines non-Runlayer URLs, the CLI warns that those connectors were skipped; only the Runlayer proxies are recorded in the backend.
During plugins add, Runlayer regenerates the manifest mcpServers section with the proxy URL for the linked server(s), so the installed .claude-plugin/plugin.json and .mcp.json always point at the Runlayer endpoint even if the original source defined other entries.

Publishing

Examples:

GitHub Actions

A common approach is to sync plugins automatically on every push to main. This keeps your Runlayer workspace in lockstep with your repo without any manual steps. Here’s a starter workflow you can adapt:
Set RUNLAYER_HOST and RUNLAYER_API_KEY as repository secrets. The --prune flag removes plugins from Runlayer when their directory is deleted from the repo.

Declarative sync semantics

Plugin skill membership is replaced from local disk.
  • If a local plugin stops including one of its linked skills, that linked skill is removed from the remote plugin
  • standalone skills in the same namespace are not deleted just because their path shares the plugin prefix
  • only skills actually linked to the plugin are considered plugin-managed for deletion
Plugin connector membership is replaced from local .mcp.json.
  • On plugin create, each imported Runlayer connector enables all tools currently visible on that server
  • On plugin update, existing connectors keep their current selected tools
  • On plugin update, newly added connectors enable all tools currently visible on that server
  • If a connector is present locally and resolves to an accessible Runlayer server, it is attached
  • if a connector is missing locally, it is removed remotely on update
  • .mcp.json controls connector membership, not per-tool curation for connectors that already exist remotely
The CLI warns when a push will remove remote connectors not present in the validated local plugin state. --dry-run is a remote-aware preview:
  • it reads remote plugin and skill state
  • it prints created, updated, unchanged, and deleted previews
  • it does not write changes
With --prune, remote plugins not found locally are deleted, along with their linked skills. It does not delete unrelated standalone skills in the same namespace. Warnings you may see:
  • truncated plugin description to 1024 characters
  • skipped MCP server <name> with non-Runlayer URL <url>
  • missing server <uuid> skipped
  • push will remove remote connectors not present in local plugin state: <uuid>

Installing

Add published plugins from the Runlayer API to your local project or global config.

Supported clients

Native mode writes a plugin manifest and .mcp.json config file into the project or global directory. Codex uses a marketplace.json registry instead of symlinks. MCP fallback adds a server entry to the client’s MCP configuration file instead.

Examples

plugins add --all installs all accessible remote plugins. It does not affect how plugins list works.

File layout (native mode)

Manifest directories per client: .claude-plugin/, .cursor-plugin/, .vscode-plugin/, .codex-plugin/. Codex also writes a marketplace.json in the canonical plugins directory. A lockfile at .runlayer/plugin-lock.yml (or ~/.runlayer/plugin-lock.yml for global) tracks installed plugins, install mode, and versions per client.

Interactive find

Browse and install plugins interactively from the terminal.
The command loads all available plugins, presents a searchable multi-select list, then prompts you to choose target clients and install scope (project or global). No flags are required — the wizard walks you through each step.

Managing installed plugins

List

By default, uvx runlayer plugins list shows installed plugins in the current project’s scope across all clients. Use --global to switch to global scope, or --client to filter the selected scope down to one client. list is scope-first. update and remove stay client-scoped.

List examples

Update

Pull the latest versions of installed plugins from the API.
Do installed plugins auto-update? No. Plugins installed with plugins add are pinned in the lockfile (.runlayer/plugin-lock.yml) and do not change on their own. Run plugins update to pull the latest versions, or re-run runlayer setup sync (which your MDM can schedule) to refresh managed clients. This is different from the Runlayer Plugin org entrypoint, which is built dynamically per request — policy, tool, and skill changes there take effect automatically without reinstalling.

Remove

Remove examples