> ## Documentation Index
> Fetch the complete documentation index at: https://fastmcp-docs-v3-beta2-feature-tracking.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# function_prompt

# `fastmcp.prompts.function_prompt`

Standalone @prompt decorator for FastMCP.

## Functions

### `prompt` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/prompts/function_prompt.py#L398" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python theme={null}
prompt(name_or_fn: str | Callable[..., Any] | None = None) -> Any
```

Standalone decorator to mark a function as an MCP prompt.

Returns the original function with metadata attached. Register with a server
using mcp.add\_prompt().

## Classes

### `DecoratedPrompt` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/prompts/function_prompt.py#L49" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

Protocol for functions decorated with @prompt.

### `PromptMeta` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/prompts/function_prompt.py#L58" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

Metadata attached to functions by the @prompt decorator.

### `FunctionPrompt` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/prompts/function_prompt.py#L74" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

A prompt that is a function.

**Methods:**

#### `from_function` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/prompts/function_prompt.py#L80" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python theme={null}
from_function(cls, fn: Callable[..., Any]) -> FunctionPrompt
```

Create a Prompt from a function.

**Args:**

* `fn`: The function to wrap
* `metadata`: PromptMeta object with all configuration. If provided,
  individual parameters must not be passed.
* `name, title, etc.`: Individual parameters for backwards compatibility.
  Cannot be used together with metadata parameter.

The function can return:

* str: wrapped as single user Message
* list\[Message | str]: converted to list\[Message]
* PromptResult: used directly

#### `render` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/prompts/function_prompt.py#L281" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python theme={null}
render(self, arguments: dict[str, Any] | None = None) -> PromptResult
```

Render the prompt with arguments.

#### `register_with_docket` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/prompts/function_prompt.py#L331" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python theme={null}
register_with_docket(self, docket: Docket) -> None
```

Register this prompt with docket for background execution.

FunctionPrompt registers the underlying function, which has the user's
Depends parameters for docket to resolve.

#### `add_to_docket` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/prompts/function_prompt.py#L341" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python theme={null}
add_to_docket(self, docket: Docket, arguments: dict[str, Any] | None, **kwargs: Any) -> Execution
```

Schedule this prompt for background execution via docket.

FunctionPrompt splats the arguments dict since .fn expects \*\*kwargs.

**Args:**

* `docket`: The Docket instance
* `arguments`: Prompt arguments
* `fn_key`: Function lookup key in Docket registry (defaults to self.key)
* `task_key`: Redis storage key for the result
* `**kwargs`: Additional kwargs passed to docket.add()