アプリ名を mcp-sd15 から generate-image-sd15-mcp に変更

配布パッケージ名、CLIコマンド名、MCPサーバ名、文書中のアプリ名を
全て generate-image-sd15-mcp に統一した。Pythonパッケージ名
(mcp_sd15)とディレクトリ構造は変更せず、import文への影響なし。

変更内容:
- pyproject.toml: name="mcp-sd15" → "generate-image-sd15-mcp"
  project.scripts: mcp-sd15 → generate-image-sd15-mcp
- cli.py: argparse prog="mcp-sd15" → "generate-image-sd15-mcp"
- server.py: MCPServer("mcp-sd15") → "generate-image-sd15-mcp"
- README.md: 見出しと起動コマンドを更新
- doc/config.md: アプリ名と起動コマンド例を更新
- doc/mcp.md: 概要のアプリ名を更新
- doc/Design.md: モジュール構成、設定オブジェクト、スクリプト名を更新
- .github/copilot-instructions.md: リポジトリ指示のアプリ名を更新
- script/smoke_streamable_http.py: docstringのアプリ名を更新
- script/smoke_matrix.py: docstringのアプリ名を更新
- uv.lock: パッケージ名を更新

検証:
- ruff format/check、pyright 0 errors、pytest 61 passed
- uv run generate-image-sd15-mcp --version でコマンド名を確認

11 files changed, 66 insertions, 66 deletions

diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md
index 4fc0e0b..1b8e604 100644
--- a/.github/copilot-instructions.md
+++ b/.github/copilot-instructions.md
@@ -1,4 +1,4 @@
-# mcp-sd15 repository instructions
+# generate-image-sd15-mcp repository instructions
 
 ## 作業の進め方
 
diff --git a/README.md b/README.md
index aafc072..774e3d7 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# mcp-sd15
+# generate-image-sd15-mcp
 
 ローカルの NVIDIA GPU と Stable Diffusion 1.x 互換 checkpoint を使う、stdio MCP
 サーバです。Text-to-Image、Depth/Openpose 誘導生成、ControlNet Inpaint を公開します。
@@ -8,7 +8,7 @@
 1. NVIDIA driverがCUDA 13.2対応PyTorchを実行できることを`nvidia-smi`で確認します。
 2. `config.example.toml` をコピーし、モデルの root とファイル名を設定します。
 3. `uv sync` を実行します。PyTorchは専用indexからCUDA 13.2版が導入されます。
-4. `uv run mcp-sd15 --config path/to/config.toml` で起動します。
+4. `uv run generate-image-sd15-mcp --config path/to/config.toml` で起動します。
 
 トランスポートはTOMLの`[server]`で切り替えます。省略時は`stdio`です。
 `streamable-http`を使う場合は次のように設定します。
diff --git a/doc/Design.md b/doc/Design.md
index a603406..89f77aa 100644
--- a/doc/Design.md
+++ b/doc/Design.md
@@ -54,7 +54,7 @@ MCP Client / LLM
 ## 3. モジュール構成
 
 ```text
-mcp-sd15/
+generate-image-sd15-mcp/
 ├─ pyproject.toml
 ├─ uv.lock
 ├─ .python-version
@@ -390,12 +390,12 @@ GPU
 
 ```toml
 [project]
-name = "mcp-sd15"
+name = "generate-image-sd15-mcp"
 version = "0.1.0"
 requires-python = ">=3.11,<3.12"
 
 [project.scripts]
-mcp-sd15 = "mcp_sd15.cli:main"
+generate-image-sd15-mcp = "mcp_sd15.cli:main"
 ```
 
 運用は`pyproject.toml + uv.lock`を基準とする。
diff --git a/doc/config.md b/doc/config.md
index 9fcdd55..6ea0f9a 100644
--- a/doc/config.md
+++ b/doc/config.md
@@ -2,10 +2,10 @@
 
 ## 1. 概要
 
-`mcp-sd15`のモデル構成と生成設定はTOMLファイルで管理する。起動時に次のように指定する。
+`generate-image-sd15-mcp`のモデル構成と生成設定はTOMLファイルで管理する。起動時に次のように指定する。
 
 ```powershell
-uv run mcp-sd15 --config C:\path\to\config.toml
+uv run generate-image-sd15-mcp --config C:\path\to\config.toml
 ```
 
 `--config`を省略した場合は、現在のworking directoryにある`config.toml`を読み込む。
diff --git a/doc/mcp.md b/doc/mcp.md
index 9edb3ca..1fea44a 100644
--- a/doc/mcp.md
+++ b/doc/mcp.md
@@ -2,7 +2,7 @@
 
 ## 1. 概要
 
-`mcp-sd15` は`stdio`または`streamable-http`トランスポートで動作し、
+`generate-image-sd15-mcp` は`stdio`または`streamable-http`トランスポートで動作し、
 Stable Diffusion 1.xによる画像生成を行う次の3ツールを公開する。
 
 | ツール | 用途 |
diff --git a/pyproject.toml b/pyproject.toml
index bb5b190..431ce00 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -3,7 +3,7 @@ requires = ["hatchling"]
 build-backend = "hatchling.build"
 
 [project]
-name = "mcp-sd15"
+name = "generate-image-sd15-mcp"
 version = "0.1.0"
 description = "MCP server for local Stable Diffusion 1.x image generation"
 readme = "README.md"
@@ -24,7 +24,7 @@ dependencies = [
 ]
 
 [project.scripts]
-mcp-sd15 = "mcp_sd15.cli:main"
+generate-image-sd15-mcp = "mcp_sd15.cli:main"
 
 [dependency-groups]
 dev = [
diff --git a/script/smoke_matrix.py b/script/smoke_matrix.py
index 7fc3ec2..de28a74 100644
--- a/script/smoke_matrix.py
+++ b/script/smoke_matrix.py
@@ -1,7 +1,7 @@
 """Run generate_image across all checkpoint/VAE/LoRA/scheduler combinations.
 
 For each pattern, this script writes a temporary TOML config, starts the
-``mcp-sd15`` server with ``streamable-http`` transport, calls ``generate_image``
+``generate-image-sd15-mcp`` server with ``streamable-http`` transport, calls ``generate_image``
 through the HTTP endpoint, saves the PNG, and records the result.
 
 Usage::
diff --git a/script/smoke_streamable_http.py b/script/smoke_streamable_http.py
index 5c762a2..a55f518 100644
--- a/script/smoke_streamable_http.py
+++ b/script/smoke_streamable_http.py
@@ -1,6 +1,6 @@
 """Verify generate_image over the Streamable HTTP transport with the real GPU backend.
 
-This script connects to a running ``mcp-sd15`` server that was started with
+This script connects to a running ``generate-image-sd15-mcp`` server that was started with
 ``transport = "streamable-http"`` and calls ``generate_image`` through the HTTP
 endpoint.  It exercises the full request path: HTTP connect → MCP initialize →
 tools/call → PNG response.
diff --git a/src/mcp_sd15/cli.py b/src/mcp_sd15/cli.py
index 3a3a9f7..abfde01 100644
--- a/src/mcp_sd15/cli.py
+++ b/src/mcp_sd15/cli.py
@@ -16,7 +16,7 @@ from .service import ImageGenerationService
 
 
 def parser() -> argparse.ArgumentParser:
-    result = argparse.ArgumentParser(prog="mcp-sd15")
+    result = argparse.ArgumentParser(prog="generate-image-sd15-mcp")
     result.add_argument("--config", type=Path, default=Path("config.toml"))
     result.add_argument("--version", action="version", version=f"%(prog)s {__version__}")
     return result
diff --git a/src/mcp_sd15/server.py b/src/mcp_sd15/server.py
index b8dc69d..ba1b99c 100644
--- a/src/mcp_sd15/server.py
+++ b/src/mcp_sd15/server.py
@@ -17,7 +17,7 @@ GuidanceMode = Literal["depth", "openpose", "openpose_full"]
 
 
 def create_server(service: ImageGenerationService) -> MCPServer:
-    server = MCPServer("mcp-sd15")
+    server = MCPServer("generate-image-sd15-mcp")
 
     @server.tool()
     async def generate_image(
diff --git a/uv.lock b/uv.lock
index c84563a..2ea9ed2 100644
--- a/uv.lock
+++ b/uv.lock
@@ -326,6 +326,57 @@ wheels = [
 ]
 
 [[package]]
+name = "generate-image-sd15-mcp"
+version = "0.1.0"
+source = { editable = "." }
+dependencies = [
+    { name = "accelerate" },
+    { name = "controlnet-aux" },
+    { name = "diffusers" },
+    { name = "mcp" },
+    { name = "numpy" },
+    { name = "opencv-python-headless" },
+    { name = "peft" },
+    { name = "pillow" },
+    { name = "safetensors" },
+    { name = "torch" },
+    { name = "torchvision" },
+    { name = "transformers" },
+]
+
+[package.dev-dependencies]
+dev = [
+    { name = "pyright" },
+    { name = "pytest" },
+    { name = "pytest-asyncio" },
+    { name = "ruff" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "accelerate", specifier = ">=1.1" },
+    { name = "controlnet-aux", specifier = ">=0.0.10" },
+    { name = "diffusers", specifier = ">=0.35" },
+    { name = "mcp", specifier = ">=2,<3" },
+    { name = "numpy", specifier = ">=1.26,<3" },
+    { name = "opencv-python-headless", specifier = ">=4.10" },
+    { name = "peft", specifier = ">=0.13" },
+    { name = "pillow", specifier = ">=10.4" },
+    { name = "safetensors", specifier = ">=0.4" },
+    { name = "torch", specifier = "==2.14.0+cu132", index = "https://download.pytorch.org/whl/cu132" },
+    { name = "torchvision", specifier = "==0.29.0+cu132", index = "https://download.pytorch.org/whl/cu132" },
+    { name = "transformers", specifier = ">=4.45,<5" },
+]
+
+[package.metadata.requires-dev]
+dev = [
+    { name = "pyright", specifier = ">=1.1.390" },
+    { name = "pytest", specifier = ">=8.3" },
+    { name = "pytest-asyncio", specifier = ">=0.24" },
+    { name = "ruff", specifier = ">=0.8" },
+]
+
+[[package]]
 name = "h11"
 version = "0.16.0"
 source = { registry = "https://pypi.org/simple" }
@@ -565,57 +616,6 @@ wheels = [
 ]
 
 [[package]]
-name = "mcp-sd15"
-version = "0.1.0"
-source = { editable = "." }
-dependencies = [
-    { name = "accelerate" },
-    { name = "controlnet-aux" },
-    { name = "diffusers" },
-    { name = "mcp" },
-    { name = "numpy" },
-    { name = "opencv-python-headless" },
-    { name = "peft" },
-    { name = "pillow" },
-    { name = "safetensors" },
-    { name = "torch" },
-    { name = "torchvision" },
-    { name = "transformers" },
-]
-
-[package.dev-dependencies]
-dev = [
-    { name = "pyright" },
-    { name = "pytest" },
-    { name = "pytest-asyncio" },
-    { name = "ruff" },
-]
-
-[package.metadata]
-requires-dist = [
-    { name = "accelerate", specifier = ">=1.1" },
-    { name = "controlnet-aux", specifier = ">=0.0.10" },
-    { name = "diffusers", specifier = ">=0.35" },
-    { name = "mcp", specifier = ">=2,<3" },
-    { name = "numpy", specifier = ">=1.26,<3" },
-    { name = "opencv-python-headless", specifier = ">=4.10" },
-    { name = "peft", specifier = ">=0.13" },
-    { name = "pillow", specifier = ">=10.4" },
-    { name = "safetensors", specifier = ">=0.4" },
-    { name = "torch", specifier = "==2.14.0+cu132", index = "https://download.pytorch.org/whl/cu132" },
-    { name = "torchvision", specifier = "==0.29.0+cu132", index = "https://download.pytorch.org/whl/cu132" },
-    { name = "transformers", specifier = ">=4.45,<5" },
-]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "pyright", specifier = ">=1.1.390" },
-    { name = "pytest", specifier = ">=8.3" },
-    { name = "pytest-asyncio", specifier = ">=0.24" },
-    { name = "ruff", specifier = ">=0.8" },
-]
-
-[[package]]
 name = "mcp-types"
 version = "2.2.0"
 source = { registry = "https://pypi.org/simple" }