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# prompts
Expose prompt templates with `@mcp.prompt()` and let clients autocomplete their
arguments with `@mcp.completion()`. `MCPServer` derives each prompt's
`arguments` (name + required) from the function signature. The client lists
prompts, completes the `language` argument of `code_review`, then renders both
prompts.
## Run it
```bash
# stdio (default — the client spawns the server as a subprocess)
uv run python -m stories.prompts.client
# HTTP — the client self-hosts the server on a free port, runs, then tears it down
uv run python -m stories.prompts.client --http
# same, against the lowlevel-API server variant
uv run python -m stories.prompts.client --http --server server_lowlevel
```
## What to look at
- `client.py` `main` — the body opens with `async with Client(target,
mode=mode) as client:`; `target` is anything `Client(...)` accepts (an
in-process server, a `Transport`, or an HTTP URL).
- `server.py` `greet` vs `code_review` — return a bare `str` (wrapped as one
user message) or a `list[Message]` for a multi-turn seed conversation.
- `server.py` `complete()` — one global handler dispatches on `ref` +
`argument.name`; returning `None` becomes an empty completion. There is no
per-argument `completer=` sugar yet.
- `server_lowlevel.py` — the same `Prompt` / `PromptArgument` descriptors and
`GetPromptResult` built by hand; this is what `MCPServer` generates for you.
- `client.py` `complete(...)` — `argument` is a `{"name": ..., "value": ...}`
dict, the only `Client` request method that takes a raw dict for a typed
wire field.
## Caveats
`@mcp.prompt()` and `@mcp.completion()` need the parentheses — `@mcp.prompt`
without `()` raises a confusing `TypeError` at registration time.
## Spec
[Prompts](https://modelcontextprotocol.io/specification/2025-11-25/server/prompts)
· [Completion](https://modelcontextprotocol.io/specification/2025-11-25/server/utilities/completion)
## See also
`tools/` (start here), `resources/` (the other `ref` kind completion accepts),
`pagination/` (`list_prompts` cursor loop).