MCP Tools

The knot MCP server exposes a set of built-in tools that AI assistants and MCP clients can use to manage spaces, templates, stack definitions, and the files and commands inside running spaces. The exact tools available to a given caller depend on the user’s permissions.

Write-capable tools (create, update, delete, start, stop, share, transfer, run, write) require approval when called from the knot web assistant. Read-only tools run without a confirmation prompt. External MCP clients connected to /mcp are not prompted.


Tool Visibility

Each tool is either native or on-demand. This controls how it appears to MCP clients:

Visibility Behaviour
Native Always present in tools/list and can be called directly by name.
On-demand Hidden from the default tools/list to keep context usage low. Discover with tool_search(query=...) and run with execute_tool(name=..., arguments=...). To pre-load all on-demand tools into tools/list instead, set native_tools = true under [server.mcp] in knot.toml.

See Tool Modes for configuration details.


Spaces

Tool Description Visibility
list_spaces List all spaces for the current user, including status and sharing details. Native
get_space Retrieve detailed space information, including configuration and status. Native
create_space Create a new development space, optionally with custom fields and start-on-create. Native
update_space Update properties of an existing space (name, description, shell, custom fields). On-demand
delete_space Permanently delete a space and all its data. On-demand
start_space Start a space. Native
stop_space Stop a space. Native
restart_space Restart a space. Native

Templates

Templates are read-only via MCP — authoring and editing happens through the knot web UI or CLI. list_templates returns active templates only, including each template’s custom field definitions (name and description) so callers have what they need to set custom fields when creating a space.

Tool Description Visibility
list_templates List active space templates, including their custom field definitions. On-demand

Stack Definitions

Stack definitions are blueprints that describe a set of components (template bindings) and the dependencies between them. They are instantiated into running stacks via create_stack. Definitions are authored through the knot web UI or CLI; MCP exposes read access so AI assistants can discover what’s available to instantiate.

Tool Description Visibility
list_stack_definitions List stack definitions available to the current user, including their components. On-demand

Stacks

A stack is a deployed instance — a group of spaces that share a stack name, typically created from a stack definition.

Tool Description Visibility
list_stacks List stack instances by grouping spaces with the same stack name. On-demand
create_stack Instantiate a stack from a stack definition: creates the spaces, wires up dependencies, and applies port forwards. On-demand
start_stack Start all spaces in a stack in dependency order. On-demand
stop_stack Stop all spaces in a stack in reverse dependency order. On-demand
restart_stack Restart all spaces in a stack. On-demand
delete_stack Delete all stopped spaces in a stack. Running spaces must be stopped first. On-demand

Files

Operations on files inside a running space.

Tool Description Visibility
read_file Read the contents of a file from a running space. Native
write_file Write content to a file in a running space. Native

Commands

Operations that execute inside a running space. list_scripts is the discovery companion to run_script — call it first to see which named scripts are available.

Tool Description Visibility
list_scripts List active scripts available to run via run_script. Filters to the current zone and the caller’s groups. On-demand
run_command Execute a command in a running space and return the results. Native
run_script Execute a named script in a running space. Native

Skills

Skills are markdown knowledge documents that give AI assistants context and procedures (see Skills).

Tool Description Visibility
get_skill Retrieve a skill by exact name, search by keyword, or list active skills. On-demand

Tool Discovery

These tools are provided by the MCP server itself to support the on-demand discovery pattern. They are available on the discovery endpoint (/mcp/discovery).

Tool Description
tool_search Search for available tools by keyword or description. Returns matching tool names and schemas.
execute_tool Execute a tool that was found via tool_search. Takes the tool name and an arguments object.

What’s Next

  • MCP - Enabling and configuring the MCP server
  • Remote MCP Servers - Connecting external MCP servers
  • Skills - Authoring knowledge content for AI assistants