エージェントを強化
公開元自身のコマンドです。PlugMCP のエンドポイントではありません。
キーとログ付きでコピーをホスト。
uvx flameox==0.2.9Claude Code にはローカルコマンド用のインストールリンクがありません。下のコマンドをコピーして、ターミナルで実行してください。
claude mcp add morluto-flameox -- uvx flameox==0.2.9ターミナルで実行します。
{ "mcpServers": { "morluto-flameox": { "command": "uvx", "args": [ "flameox==0.2.9" ] } }}claude_desktop_config.json
リモート URL か、手元のマシンのコマンドか 2 つのインストール方法の違い
PlugMCP で実行
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
起動公開元より
There is no workspace to initialize or project configuration to maintain. Pass exact artifact paths to analysis and an explicit argv plus absolute working directory to capture. Flameox does not search parent directories, edit project files, or provide a hosted service.
Configure an MCP client with the global setup command:
Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.
npx flameox@latest setup
Setup detects supported clients and asks which configurations to update. For automation, select
clients explicitly, for example --client codex --yes or --all --yes; --dry-run reports the
paths and actions without writing. Setup preserves unrelated client configuration and does not
change project files. See the npm package guide for details.
Update existing MCP registrations with:
npx flameox@latest update
update --check reports available updates without changing configuration. Updates preserve each
client's provider extras and settings, verify the new environment before changing release pins,
and report which clients need a restart or reconnect. Use --client codex to select one client,
or --version 0.2.8 to select a specific release, including for rollback. The Python CLI exposes
the same flameox update command.
For direct CLI use, pass exact artifact paths or an explicit command:
uvx flameox analyze preview_artifact /absolute/path/to/artifact.json
uvx flameox capture --provider direct --cwd "$PWD" -- python benchmark.py
To launch the stdio MCP server manually:
uvx flameox mcp serve
For local development, clone the repository, install its development dependencies, and inspect the available tools:
git clone https://github.com/morluto/flameox.git
cd flameox
uv sync --extra dev --extra memory --extra trace --extra cpu
uv run flameox mcp inspect
Analysis and unpreserved capture use bounded session scratch. Session analysis_id values expire
when evicted or when the server stops. Explicit preservation creates the user-level Flameox data
directory and stores native bytes and a canonical evidence bundle by SHA-256. Set
FLAMEOX_DATA_DIR to choose another location. Preservation is optional; it does not imply full
console-output retention.
Flameox distinguishes observed, derived, and inferred claims. Profiles guide exploration but do not establish causality or performance improvement. Confirmatory claims require representative workloads, declared metrics and estimands, compatible identities, preserved samples, and a semantic oracle.
The MCP server has no workspace binding. It exposes named analysis and capture tools through the
same operation registry as the CLI. Analysis tools accept explicit sources; capture tools accept
a typed target and provider. Tool schemas expose operation-specific fields directly. Inspect the
catalog with flameox mcp inspect; use --tool TOOL_NAME for
focused schemas and examples. The complete contract and current tool catalog are in
the interface guide.
Tools return their full bounded results inline, including failures and recovery actions. Preserved
evidence has a durable evidence_id; inspect_evidence returns its redacted metadata and replay
sources inline.
Capture takes argv, not a shell string. A direct target supplies an absolute working directory and
bounded environment overrides. Results may include next_page; replay its named analysis tool
and arguments unchanged. Capture continuations read collected artifacts and do not rerun the
target. MCP work belongs to the live request, so cancellation applies directly and no detached job
survives a restart.
Flameox requires Python 3.12 or newer and uses the committed uv.lock. See
CONTRIBUTING.md for development setup and contribution guidance.
uv run ruff check src tests tools
uv run ruff format --check src tests tools
uv run mypy src tests tools
uv run pytest -q
Flameox is licensed under the MIT License.
Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.
{ "mcpServers": { "morluto-flameox": { "command": "uvx", "args": [ "flameox==0.2.9" ] } }}ツール
ツール一覧はまだありません。リモートサーバーは、最初のヘルスチェック後に取得されます。
よくある質問
このページで Cursor、Claude Desktop、Claude Code、VS Code 用の stdio 設定をコピーできます。PlugMCP のプロキシではなく、公開元のインストール方法を使います。
このレコードに必須の環境変数は記載されていません。
Flameox は stdio 経由でローカル実行されます。
最終チェックは 2026-11-10 です。 Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.