Context7
Up-to-date docs for AI agents
作者による説明(英語の原文)
Read-only queries over Aileron audit journals: verify integrity, search recorded tool calls
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"aileron": {
"command": "uvx",
"args": [
"aileron",
"serve",
"--root",
"."
]
}
}
}ターミナルでこれを実行します
claude mcp add aileron -- uvx aileron serve --root .プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"aileron": {
"command": "uvx",
"args": [
"aileron",
"serve",
"--root",
"."
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"aileron": {
"type": "stdio",
"command": "uvx",
"args": [
"aileron",
"serve",
"--root",
"."
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント aileron-sh で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.1.6)がレジストリに届いたのは19 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。
同じカテゴリには:Context7, Codebase Memory, Exa
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Aileron is a flight recorder for AI agents.
Not another tracer. Aileron produces a tamper-evident, replayable record of every tool call your agents make - evidence you can verify offline, not telemetry you have to trust.
aileron verify says exactly where the chain broke.allow / alert / block actions, applied *before* execution via the MCP stdio proxy or the SDK decorator. A blocked tool call never runs; the attempt is logged anyway.$ pip install aileron
$ aileron demo # scripted fake-agent session (no network, no keys needed) demo: wrote 8 events to demo.chain.jsonl demo: chain VERIFIED (8 events) demo: blocked shell call by rule aileron-001 demo: 2 anomaly alert(s) emitted $ aileron verify demo.chain.jsonl OK: 8 events verified in demo.chain.jsonl $ aileron report demo.chain.jsonl -o incident.html # open it in a browser $ aileron serve --root . # or ask an assistant instead
The demo runs in the default digest-only mode: the destructive shell call is blocked by a content rule and flagged by the behavioral baseline, yet the journal on disk contains only argument digests - never the raw command.
| Feature | What you get |
|---|---|
| Hash-chained journal | Append-only JSONL; each event's prev_hash links to the previous event's SHA-256 hash; genesis is 0x00…00 |
| Signed checkpoints | Ed25519 signature over the chain tip, verifiable offline against the public key (aileron sign-checkpoint / verify-checkpoint). Checkpoints cover a *prefix*: appending later events never invalidates them; truncating or rewriting the signed prefix does |
| Policy rules | 32 bundled rules covering credential theft, cloud metadata abuse, exfiltration, supply chain, persistence, anti-forensics, database destruction, and prompt-injection artifacts. Sigma-like YAML; substring, regex, and dotted-key matchers. Rules are evaluated against the full call in memory, so content rules fire even in digest-only mode |
| Behavioral anomaly detection | Rolling baselines flag first-seen tools, rate spikes (>3x baseline), and novel tool-call sequences - live via the SDK (baseline=) or offline via aileron detect |
| MCP stdio proxy | Sits between any MCP client and server; logs and mediates every tools/call before it reaches the child process. Verified against the official filesystem and memory servers, not just test doubles |
| Claude Code hook | aileron hook plugs into Claude Code's PreToolUse and PostToolUse hooks: every tool call is journaled before it runs and again when it returns, a matching block rule stops it (exit 2, reason shown in the session, even in bypassPermissions mode), and a journal that cannot be written blocks the call instead of losing it. One settings.json snippet covers a project. See docs/claude-code.md |
| MCP server mode | aileron serve exposes your journals read-only, so an assistant can answer "what did the agent touch?" from the record. Listed in the official MCP Registry as io.github.aileron-sh/aileron |
| OTel GenAI export | Events export as gen_ai.*-aligned span dicts (aileron export) for your existing collector |
| HTML incident reports | Single file, inline CSS, no external assets, verification badge (VERIFIED / TAMPERED at seq N) |
| Privacy by default | Tool arguments/results are recorded as digests only, unless you opt in with --capture-content |
@track decoratorfrom aileron import ChainLog, track, PolicyBlocked, bundled_rules_dir
from aileron.policy import load_rules
log = ChainLog("run.chain.jsonl") # capture_content=False by default rules = load_rules(bundled_rules_dir()) # or load_rules("rules") after aileron init
@track(log=log, rules=rules) def shell(cmd: str) -> str: ... # your tool implementation
shell("ls /tmp") # -> tool_call event, status=ok, args recorded as digest shell("rm -rf /") # -> PolicyBlocked raised; blocked attempt is logged
Rules see the full arguments in memory at decision time; the journal still stores digests only. Turn on capture_content=True only when you want raw arguments *persisted* for forensics.
track_agent sessionfrom aileron import track_agent
with track_agent("research-agent", framework="langchain", log=log): shell("ls /tmp") # inherits the session's agent identity and session_id
Wrap any MCP server. Every tools/call is logged and policy-checked *before* the child process sees it:
$ aileron init # seeds a ./rules directory with starter rules
$ aileron proxy --log run.chain.jsonl --rules rules -- \ npx -y @modelcontextprotocol/server-filesystem /tmp $ AILERON_SESSION_ID=run-4821 aileron proxy --log run.chain.jsonl --rules rules \ --agent researcher --framework crewai -- npx -y @modelcontextprotocol/server-filesystem /tmp
Proxy flags go before --; everything after it belongs to the child. A harness can set AILERON_AGENT, AILERON_FRAMEWORK and AILERON_SESSION_ID per spawn instead of passing flags, and a flag wins over the environment. The journal records the identity you give it, so a rule such as agent.name: researcher matches on the proxy path. Reusing a session id across runs groups them: detect treats them as one session and the OTel export puts them in one trace.
A blocked call returns a JSON-RPC error (-32000: blocked by aileron rule ) to the client; the child is never invoked.
Verified against real MCP servers, not just test doubles. Aileron has been run in front of the official @modelcontextprotocol/server-filesystem (secure-filesystem-server 0.2.0, 14 tools) and @modelcontextprotocol/server-memory (0.6.3, 9 tools): the handshake completes, tools list normally, real calls work, a blocked write never reaches the server, and the journal verifies. That check ships as a test (tests/test_real_mcp_server.py, run with AILERON_LIVE_MCP=1).
The proxy itself costs well under a millisecond per `tools/call`. Matching content rules against large payloads costs more, and how much is yours to choose: see Performance for the split, measured.
The proxy speaks both newline-delimited and Content-Length-framed JSON-RPC. Content rules (tool.arguments_contains, _regex) work in the default digest-only mode - --capture-content changes what is persisted, not what is enforced. Calls still in flight when the child dies are journaled with status=error, so a crash never erases the attempt.
Claude Code's own tools (Bash, Edit, Write, MCP tools) go through its hook system, and aileron hook is a command hook for it. One entry, registered under PreToolUse, PostToolUse and PostToolUseFailure; the PreToolUse copy also gets "onFailure": "block":
{"type": "command", "command": "aileron",
"args": ["hook", "--log", "${CLAUDE_PROJECT_DIR}/aileron.chain.jsonl", "--rules", "${CLAUDE_PROJECT_DIR}/rules"], "timeout": 30}
Every call is journaled before it runs and again when it returns, digests only by default. A matching block rule stops the call by exit code 2 and Claude sees the reason in the session:
PreToolUse:Bash hook error: [aileron hook ...]: blocked by aileron rule
local-001 (Block destructive shell commands from Claude Code); recorded as seq 3 in /home/me/my-project/aileron.chain.jsonl
The hook fails closed: a journal that cannot be written or rules that cannot be loaded block the call rather than let it run unrecorded, and it never writes to stdout or emits an allow, so it can only narrow what Claude Code would have permitted. Hook processes run in parallel and serialise on .lock. aileron verify and aileron report work on the journal as on any other. Full setup, the event shapes and the limits (what a timed-out hook means, @ file reads, mods) are in docs/claude-code.md.
Aileron sits in front of MCP servers. It is also one. Point it at a directory of journals and an assistant can read the record for you:
$ aileron serve --root ./journals
Three tools, all read only: verify_journal (is this record intact), query_events (what happened, filtered by tool, status, or time), and explain_rule (what does aileron-130 catch).
There is no write, delete, or sign tool, and there should never be. The agent being recorded is the untrusted party, so giving it a way to edit the journal would hand the suspect the evidence locker.
Four things follow from that, and they are the reason this is more than a wrapper around aileron verify:
.jsonl opens. Otherwise verify_journal(path) is an arbitrary file read.IGNORE PREVIOUS INSTRUCTIONS... is evidence to report, not an instruction to follow.capture_content governs what the journal stores. It never widens what this server hands back, and errors never echo file contents.# a policy rule (see the bundled rules/examples/destructive-shell.yml)
id: aileron-001 title: Block destructive shell commands severity: high match: type: tool_call tool.name: shell tool.arguments_contains: ["rm -rf", "DROP TABLE", ":(){ :|:& };:"] action: block
Dry-run rules against a recorded session: aileron rules test rules/ run.chain.jsonl
agent ──tool call──► [ SDK @track ] ──┐
[ MCP proxy ] ──┼─► policy decide (allow/alert/block) │ │ block? ──► call never executes, MCP client ──JSON-RPC──► proxy ───────┘ │ attempt still logged ▼ append to chain log (JSONL)
event 0 event 1 event N ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ seq: 0 │ │ seq: 1 │ │ seq: N │ │ prev: 0000… │─►│ prev: H(e0) │─► … ──►│ prev: H(eN-1)│ │ hash: H(e0) │ │ hash: H(e1) │ │ hash: H(eN) │──► Ed25519 checkpoint └──────────────┘ └──────────────┘ └──────────────┘ signature over tip
H(e) = sha256(canonical_json(e \ hash))
冒頭だけを表示しています。続きはリポジトリで読めます