A
licenseC
qualityA
maintenanceEnables coding agents to query, compare, and audit local profiler traces, benchmarks, memory captures, and execution evidence without uploading code or data, using CLI and MCP interfaces.
111
50 PyPI
118
MIT
ventrox
Officialby Vetrox
Ventrox
コーディングエージェントは一日に何度も同じ壁にぶつかるが、誰もそれを見ない。
Ventrox はエージェントに1つのツール呼び出しを追加する。何を試したか、何が失敗したか、失った分数。
エージェントは vent を読み戻すことはできない。サーバーはそれぞれの vent にセッション、プロジェクト、ブランチ、時刻を刻印する。
レビューアは VENTROX_SECRET=$(ventrox grant) claude でセッションを開始し、おおまかな類似性によってグループ化された vent を、件数と失った分数の順に一覧表示する。
最も多くの分数を失わせた壁が最初に来る。
わずか数百行の Python、ホームディレクトリにある1つの SQLite ファイル、インストールは2つのコマンドだけ。
ネットワークに出ていくものは何もなく、リポジトリに入るものもまだない。
クラスタリングは n-gram に対する TF-IDF で、同義語は見落としがちです。難読化（ redaction ）は正規表現リストによるベストエフォートです。
制限: セッションあたり20件の vent、10分あたり5件の vent。
このアイデアは Lovable の vent tool と vent-widget に由来します。
インストール
Ventrox をグローバルツールとしてインストールします:
uv tool install git+https://github.com/Vetrox/ventrox.gitまたは, クローンしてチェックアウト先からインストールします:
git clone https://github.com/Vetrox/ventrox && cd ventrox && uv tool install .次に setup を実行します:
ventrox setupsetup は ventrox-report と ventrox-report のスキルを ~/.claude/skills/ にコピーします。
そして、以下のコマンドで MCP サーバーを登録します: claude mcp add --scope user ventrox -- ventrox
Related MCP server: todox MCP Server
利用
レポーター: エージェントは ventrox_vent を tried、failed、minutes_lost を伴っなって呼び出します。
同じ障害が繰り返された場合（2回以上の失敗、または10分以上を経過した場合）に限り、1ターンにつき1件の vent を書き込みます。
同じセッション内では ventrox_edit で vent を修正できます。
サーバーは1セッションにつき20件、10分後につき5件の vent を受け付けます。
レビューア: セッションを単回使用トークンで開始します:
VENTROX_SECRET=$(ventrox grant) claudeトークンは単回使用で、有効期間は10分です。 このセッションにはレビューア用ツールが保持されます。それらのツールを次の順に呼び出してください:
ventrox_reclusterは、未解決の vent を語彙の重なりによってグループ化します。ventrox_clustersは、未解決件数、次に失った分数の順にグループを並べて一覧表示します。ventrox_resolve_clusterは、グループをresolvedまたはwontfixとしてマークします。
アンインストール
ventrox setup --remove
uv tool uninstall ventrox
rm -r ~/.local/share/ventrox # deletes all ventsツール
ツール | モード | 引数 | 戻り値 |
| レポーター |
|
|
| レポーター |
|
|
| レビューアー |
| その vent、または |
| レビューアー |
|
|
| レビューアー | なし |
|
| レビューアー | なし |
|
| レビューアー |
|
|
| レビューアー |
|
|
テキストフィールドは1〜4000文字設定可能です。minutes_lost は0〜1440の範囲です。
環境変数
変数 | 目的 | デフォルト |
| データディレクトリ | 未設定 |
| セッション ID | プロセスごとに生成 |
| レビューアセッションを開始するための grant トークン。単回使用、10分間有効 | 未設定 |
| プロジェクト上の例を含むファイルパス | 未設定 |
| サーバーがセッションごとに受け付ける vent の数 | 20 |
| サーバーが10分ごとに受け付ける vent の数 | 5 |
データの場所
サーバーは、$VENTROX_HOME、$XDG_DATA_HOME/ventrox、~/.local/share/ventrox の順に最初のディレクトリを選択します。
すべての vent はそのディレクトリ内の vents.db に置かれます。
ファイルは暗号化されていない平文頻の SQLite です。保護するのはファイルの権限のみです。
データディレクトリが git worktree 内部にある場合、サーバーは起動を拒否し、終了コード 2 で終了します。
スキル
ventrox-reportは、どのような質問が vent として定義されるのか、また3つのフィールドに何を含める必要があるのかをエージェントにオウニ伝えます。ventrox-reviewは、レビューアにreclusters、clusters、resolveをこの順に実行するよう指示します。ventrox setupはその両方をインストールします。
プロジェクトの例
プロジェクト固有の良い vent の例を追加するには、プロジェクトのルートに .ventrox.md ファイルを置きます。
VENTROX_EXAMPLES をファイル・パスに設定すると、すべてのプロジェクトに例を追加できます。
サーバーはその両方を ventrox_vent ツールの説明に追加します。
開発
uv sync
uv run pytest
uv run ventrox非目標
Ventrox はイシュートラッカーには同期しません。 マルチユーザーモードはありません。 ツール呼び出しトレースは記録せず、エージェントが記入した3つのフィールドだけを記録します。 ネットワーク接続を開くことはありません。
Available Tools
2 toolsventrox_editA
Edit the tried, failed, or minutes_lost of a vent you wrote.
Provide the vent ID. Validation rules match ventrox_vent. Returns ok (true or false). If the edit fails, we do not state the reason. Possible causes: wrong ID, wrong session, or validation error.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| tried | No | ||
| failed | No | ||
| minutes_lost | No |
TDQS
A4.4/5.0
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description correctly explains that it returns a bare true/false, does not report failure reasons, and lists likely causes of failure. It also indicates scope ('a vent you wrote'), which implies an ownership or session restriction, though it does not detail authentication behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is focused, front-loaded with the action, and every clause earns its place. It includes the necessary fields, the required input, return shape, and failure behavior without padding or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema and no annotations, the description gives sufficient info to call it and interpret false results. The user session context is mentioned but not explained, and validation rules are deferred to a sibling tool, which is acceptable but not fully self-contained.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must clarify parameter meaning. It names all editable fields ('tried, failed, or minutes_lost') and the required id, covering the four parameters adequately even without per-property explanations.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description's leading sentence clearly states the action ('Edit') and the resource ('a vent you wrote') and specifies the editable fields. It distinguishes itself from the sibling ventrox_vent by framing this as an edit operation for existing vents, not a creation operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
It states the required input ('Provide the vent ID') and implies this is used to modify an existing vent instead of creating one. It does not explicitly name ventrox_vent as the alternative, but the context signals make the intended usage clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ventrox_ventA
Record friction you hit today.
A vent describes what blocked you. Write what you tried, what failed, and how many minutes you lost. Do not write fixes, workarounds, or lessons. We do not read vents back to you.
Write one vent per turn. Write a vent only after you hit the same friction again. Friction repeats when the same thing fails two times or more, or when one thing costs more than 10 minutes.
Good vents:
tried "run the test suite with
uv run pytest", failed "import error onconftest.pythree times in a row; the fix needed PYTHONPATH that no doc states", minutes_lost 25tried "deploy to staging with the standard CloudFormation template", failed "VPC id mismatch in the template; had to edit manually each time for 3 deploys", minutes_lost 18
tried "install the linter with
pip install ruff", failed "no wheel for Python 3.13 on macOS arm64; built from source twice, flaky on CI", minutes_lost 12tried "run database migration with
python manage.py migrate", failed "timeout on the first attempt; docs don't mention --timeout flag; second attempt with flag succeeded", minutes_lost 8
Not vents:
A one-off typo you fixed once. That is not repeated friction.
"How do I make the tests faster?" That is a question, not friction.
"Next time use pytest-xdist for parallel tests". That is a lesson or a fix, not what blocked you.
"Finished the feature, took 3 hours". That is a task-progress note, not friction.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tried | Yes | ||
| failed | Yes | ||
| minutes_lost | Yes |
TDQS
A4.6/5.0
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, and it does so thoroughly. It discloses that vents are not read back, that only one vent should be written per turn, that vents should only be logged after repeated friction, and that fixes/workarounds/lessons should be excluded. This goes well beyond a simple 'record friction' statement.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is longer than average, but every section earns its place: a front-loaded purpose statement, eligibility thresholds, and illustrative good/bad examples. It is information-dense rather than padded, and the structured examples are easy for an agent to pattern-match against.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a logging tool with no output schema and no annotations, the description is complete. It tells the agent what to record, when recording is appropriate, what not to record, and what happens after recording ('we do not read vents back to you'). No critical operational detail appears to be missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must supply all parameter meaning. It clearly maps 'tried' to what you attempted, 'failed' to what blocked you, and 'minutes_lost' to the time lost. The examples reinforce this by showing realistic combinations, and the 'not vents' section clarifies what should not go into the parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly defines the tool as recording friction: what you tried, what failed, and minutes lost. It gives strong examples of good and bad vents. However, it does not explicitly differentiate itself from the sibling tool ventrox_edit, so the agent must infer the create-vs-edit boundary from the tool names.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit when-to-use guidance: write a vent only after the same friction repeats, with precise thresholds like two failures or more than 10 minutes lost. It also gives clear exclusions such as one-off typos, questions, lessons, and task-progress notes. It does not mention ventrox_edit as the alternative for editing existing vents, so the usage guidance is excellent for creation but not complete against its sibling.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
v0.1.0- First observed
ventrox_edit - First observed
ventrox_vent
TDQS
A4.4/5.0
Scored across 2 tools
Disambiguation5/5
ventrox_vent is exclusively for recording a new friction event, while ventrox_edit explicitly modifies an existing vent's fields. There is no overlap or ambiguity between creating and editing.
Naming Consistency4/5
Both tools share the ventrox_ prefix and use short action-style names, making the pattern predictable. The only minor inconsistency is that ventrox_vent uses the verb 'vent' while ventrox_edit omits an object noun such as 'vent'.
Tool Count4/5
Two tools is slightly thin, but it matches the server's focused purpose of recording and correcting friction entries. Each tool is meaningful and there is no bloat.
Completeness4/5
The server covers creating and editing vents, which are the core operations for its purpose. There is no delete or list/read tool, though deletion is a minor gap and reading is intentionally not provided.
Related MCP Connectors
Error tracking for small teams and their coding agents.
Memory for coding agents: the decisions, the dead ends, and where the last session stopped.
Shared memory for coding agents. Stop re-explaining your codebase every session.
Read-only production error evidence for coding agents investigating failures.
Related MCP Servers
- AlicenseNot gradedqualityAmaintenanceEnables agents to create and manage persistent task logs, decisions, dead ends, questions, and handoffs, with file staleness detection and activity reporting.2 npm2MIT
- AlicenseBqualityCmaintenanceEnables local engineering workflow management by consolidating tickets, QA evidence, time tracking, root cause investigation, knowledge, and reporting into a single SQLite database, allowing generation of complete ticket packages for handoffs, dailies, or career evidence.236 npmMIT
- FlicenseNot gradedqualityCmaintenanceEnables MCP-capable coding agents to coordinate via authenticated task creation, claiming, messaging, and review approval over a secure local event log.-