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ingest-mcp-proxy-ocsf

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更新时间2026年7月10日 03:53

Convert raw MCP proxy logs (from agent-bom proxy or any MCP JSON-RPC middleware) into Application Activity records. OCSF 1.8 (class 6002) is the default output, with a native projection available via `--output-format native`. Every event carries session_uid, JSON-RPC method, direction, and a stable tool fingerprint (sha256 of name + description + inputSchema + annotations) so downstream detection skills can spot schema drift. Use when the user mentions MCP proxy logs, OCSF ingestion, detection engineering pipeline, or wants to feed MCP traffic into a SIEM or detection stack. Do NOT use for CloudTrail, GCP audit, Azure Activity, or K8s audit logs (use ingest-cloudtrail-ocsf / ingest-gcp-audit-ocsf / ingest-azure-activity-ocsf / ingest-k8s-audit-ocsf respectively). Do NOT use as a detection skill — this skill only normalises, it does not flag anything.

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信息安全分析师计算机与数学类职业·SOC 15-1212

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name	ingest-mcp-proxy-ocsf
description	Convert raw MCP proxy logs (from agent-bom proxy or any MCP JSON-RPC middleware) into Application Activity records. OCSF 1.8 (class 6002) is the default output, with a native projection available via `--output-format native`. Every event carries session_uid, JSON-RPC method, direction, and a stable tool fingerprint (sha256 of name + description + inputSchema + annotations) so downstream detection skills can spot schema drift. Use when the user mentions MCP proxy logs, OCSF ingestion, detection engineering pipeline, or wants to feed MCP traffic into a SIEM or detection stack. Do NOT use for CloudTrail, GCP audit, Azure Activity, or K8s audit logs (use ingest-cloudtrail-ocsf / ingest-gcp-audit-ocsf / ingest-azure-activity-ocsf / ingest-k8s-audit-ocsf respectively). Do NOT use as a detection skill — this skill only normalises, it does not flag anything.
purpose	Convert raw MCP proxy logs (from agent-bom proxy or any MCP JSON-RPC middleware) into Application Activity records.
capability	ingest
persistence	none
telemetry	stderr_jsonl
privilege_escalation	none
license	Apache-2.0
approval_model	none
execution_modes	jit, ci, mcp, persistent
side_effects	none
input_formats	raw
output_formats	native, ocsf
concurrency_safety	stateless

ingest-mcp-proxy-ocsf

Thin, single-purpose ingestion skill: raw MCP proxy JSONL in → OCSF 1.8 Application Activity JSONL by default, or the repo-owned native application-activity projection when requested. No detection logic, no side effects, no external calls.

Wire contract

Reads the format emitted by the agent-bom proxy command:

{
  "timestamp":  "2026-04-10T05:00:00.000Z",
  "session_id": "sess-abc",
  "method":     "tools/list",
  "direction":  "response",
  "body":       { "tools": [ ... ] }
}

Writes OCSF 1.8 Application Activity (class 6002) with the cloud_security_mcp custom profile. See ../OCSF_CONTRACT.md for the field-level pinning.

Usage

# Single file, OCSF default
python src/ingest.py mcp-proxy.jsonl > mcp-proxy.ocsf.jsonl

# Native projection
python src/ingest.py mcp-proxy.jsonl --output-format native > mcp-proxy.native.jsonl

# Piped from a running proxy
agent-bom proxy "<server cmd>" --log-format jsonl \
  | python src/ingest.py \
  | python ../detect-mcp-tool-drift/src/detect.py \
  > findings.ocsf.jsonl

Native output format

When --output-format native is selected, the skill emits the repo-owned canonical projection instead of the OCSF envelope. Each record includes:

schema_mode: "native"
canonical_schema_version
record_type: "application_activity"
event_uid
provider
time_ms
session_uid
method
direction
tool when the source event declares a tool

Example:

{
  "schema_mode": "native",
  "canonical_schema_version": "2026-04",
  "record_type": "application_activity",
  "event_uid": "7a1c...",
  "provider": "MCP",
  "time_ms": 1775797200000,
  "session_uid": "sess-abc",
  "method": "tools/list",
  "direction": "response",
  "tool": {
    "name": "query_db",
    "fingerprint": "sha256:..."
  }
}

Fingerprint

For every tools/list response entry and every tools/call request, the skill emits an OCSF event with a stable mcp.tool.fingerprint:

fingerprint = sha256(json.dumps({
    "name":        tool["name"],
    "description": tool.get("description", ""),
    "inputSchema": tool.get("inputSchema", {}),
    "annotations": tool.get("annotations", {}),
}, sort_keys=True).encode()).hexdigest()

This is the pivot point for detection skills. Anything that makes the fingerprint change = tool drift.

Behaviour on malformed input

One bad line → warning to stderr, skipped, pipeline continues.
Missing timestamp → current time.
Missing session_id → "sess-unknown" (detected by downstream detection skills).
Empty file → zero output lines, exit 0.

Tests

tests/test_ingest.py runs the skill against ../golden/mcp_proxy_raw_sample.jsonl and asserts the output matches ../golden/mcp_proxy_sample.ocsf.jsonl with volatile fields scrubbed.