lokryn-mcp-log

Compliance-grade audit logging for MCP (Model Context Protocol) client operations.

What It Does

Wraps the official MCP Python SDK's ClientSession and logs every operation—tool calls, resource access, prompt executions—in a format that satisfies SOC2, HIPAA, and PCI audit requirements.

Logs conform to the lokryn-compliance-log-schema, an open standard for audit logging (schema vendored in this package, will be extracted to separate PyPI package).

Installation

pip install lokryn-mcp-log

Or with uv:

uv add lokryn-mcp-log

Quick Start

from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client
from lokryn_mcp_log import with_logging, StdoutSink

server_params = StdioServerParameters(command="python", args=["server.py"])

async def main():
    async with stdio_client(server_params) as (read, write):
        async with ClientSession(read, write) as session:
            await session.initialize()

            # Wrap with logging
            logged = with_logging(
                session,
                sink=StdoutSink(),
                environment="development",
            )

            # Use exactly like normal
            await logged.call_tool("add", {"a": 1, "b": 2})

Sinks

StdoutSink

from lokryn_mcp_log import StdoutSink

sink = StdoutSink()           # JSON to stdout
sink = StdoutSink(pretty=True) # Pretty-printed

FileSink

from lokryn_mcp_log import FileSink

sink = FileSink("/var/log/mcp-audit.jsonl")

HTTPSink

import os
from lokryn_mcp_log import HTTPSink

# JSON format (default)
sink = HTTPSink(
    endpoint="https://your-log-collector.com/ingest",
    headers={"Authorization": "Bearer <token>"},
)

# Protobuf format
sink = HTTPSink(
    endpoint="https://your-log-collector.com/ingest/proto",
    format="protobuf",
)

# With HMAC signing
sink = HTTPSink(
    endpoint="https://your-log-collector.com/ingest",
    hmac_key="your-secret-key",
)

# Using environment variables
sink = HTTPSink(
    endpoint=os.environ["LOG_ENDPOINT"],
    hmac_key=os.environ.get("LOG_HMAC_KEY"),
    format=os.environ.get("LOG_FORMAT", "json"),
)

Custom Sink

Implement the Sink protocol:

from lokryn_mcp_log.schema import log_pb2

class MySink:
    async def emit(self, record: log_pb2.LogRequest) -> None:
        # Your logic here
        pass

Configuration

from lokryn_mcp_log import with_logging
from lokryn_mcp_log.schema import log_pb2

logged = with_logging(
    session,
    sink=my_sink,
    environment="production",           # Required
    actor_id="agent-001",                # Optional, auto-generated if omitted
    component="my-agent",                # Defaults to "mcp-client"
    policy_tags=["SOC2", "HIPAA"],       # Optional compliance tags
    default_sensitivity=log_pb2.SENSITIVITY_CONFIDENTIAL,
)

What Gets Logged

Each log includes:

• Timestamp
• Actor ID (session/agent identifier)
• Session ID
• Duration (milliseconds)
• Trace ID (for distributed tracing)
• MCP payload (tool name, arguments, resource URI)
• Outcome (success/failure)
• Error details (on failure)

Error Handling

This is a library, not a service. If the sink fails, the exception propagates to your code. Handle it as appropriate for your use case.

Field Notes Integration

Send logs directly to Field Notes for tamper-evident storage and querying:

from lokryn_mcp_log import FieldNotesSink

# Configure via environment variables:
# FIELDNOTES_HMAC_KEY=your-secret-key
# FIELDNOTES_FORMAT=json  (or "protobuf")

sink = FieldNotesSink()

# Or pass explicitly
sink = FieldNotesSink(hmac_key="your-secret-key", format="protobuf")

License

AGPL-3.0. Commercial license available—contact license@lokryn.com.

Links

• lokryn-compliance-log-schema
• Field Notes
• MCP Python SDK