Context7
Up-to-date docs for AI agents
Beschreibung vom Entwickler (englisches Original)
Read-only queries over Aileron audit journals: verify integrity, search recorded tool calls
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
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Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"aileron": {
"command": "uvx",
"args": [
"aileron",
"serve",
"--root",
"."
]
}
}
}Führe das in deinem Terminal aus
claude mcp add aileron -- uvx aileron serve --root .In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"aileron": {
"command": "uvx",
"args": [
"aileron",
"serve",
"--root",
"."
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"aileron": {
"type": "stdio",
"command": "uvx",
"args": [
"aileron",
"serve",
"--root",
"."
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto aileron-sh bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.6) kam vor 19 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Context7, Codebase Memory, Exa
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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))
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