feat(mcp): add structured pino logging with AsyncLocalStorage context (KI-001) (#6)

Replace all console.log/error with structured JSON logging via pino.
Every log entry automatically carries toolName, requestId, and workspaceId
from the current AsyncLocalStorage scope — no need to thread context.

Changes:
- package.json: add pino@^9.6.0, pino-pretty@^13.0.0
- src/utils/context.ts: new — AsyncLocalStorage context + getContext/withContext/runWithContext
- src/utils/logger.ts: new — info/warn/error/debug helpers, JSON output in prod, pretty in dev
- src/api.ts: both console.error → logError(...)
- src/index.ts: all console.error → logInfo/logWarn/logError(...)
- known-issues.md: mark KI-001 resolved

Co-authored-by: Molecule AI SDK-Dev <sdk-dev@agents.moleculesai.app>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
molecule-ai[bot] 2026-04-22 18:37:40 +00:00 committed by GitHub
parent 925ecc1f26
commit e73b53e464
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7 changed files with 453 additions and 27 deletions

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@ -27,27 +27,38 @@ Format per entry:
## KI-001 — No structured logging; all errors go to console.log
**File:** `src/index.ts` (and likely all tool handlers)
**Status:** Identified
**File:** `src/index.ts`, `src/api.ts` (and potentially all tool handlers)
**Status:** ✅ Resolved
**Severity:** Medium
### Symptom
Tool handlers use `console.log` and `console.error` for output. Structured JSON
logs (for ingestion into Datadog, Grafana, or the platform's Langfuse traces)
are not emitted. MCP `INTERNAL_ERROR` responses include human-readable text
but no correlation ID or structured metadata.
### Resolution
Replaced all `console.log/error` calls with structured JSON logging via
[pino](https://getpino.io) (`src/utils/logger.ts`). The logger:
### Impact
Debugging production issues requires reading raw console output. Correlation IDs
from the platform request context are not attached to errors, making it hard to
trace a failing tool call back to a specific workspace or delegation in the
platform logs.
- Emits JSON by default (production); pretty-prints when `NODE_ENV != "production"`
or stdout is a TTY.
- Level is controlled by `LOG_LEVEL` env var (default: `30` = warn; set `20` for debug).
- Uses Node.js `AsyncLocalStorage` (`src/utils/context.ts`) to propagate
per-call context (`toolName`, `requestId`, `workspaceId`) into all downstream
log entries automatically — no need to thread context through every function.
- Errors include `{ message, stack, name }` in the `err` field.
### Suggested fix
Replace `console.log/error` with a structured logger (e.g. `pino` or
`winston` with JSON format). Attach `requestId` / `workspaceId` from the MCP
request context to every log entry. Ensure errors include a correlation ID
from the platform trace header (`X-Trace-ID` or similar).
Files changed:
- `package.json` — added `pino@^9.6.0`, `pino-pretty@^13.0.0`
- `src/utils/context.ts` — new; `AsyncLocalStorage` context + `getContext()`, `withContext()`
- `src/utils/logger.ts` — new; `info()`, `warn()`, `error()`, `debug()` helpers
- `src/api.ts` — both `console.error``logError(…)`
- `src/index.ts` — all `console.error``logInfo()`/`logWarn()`/`logError()`
### What was NOT changed (follow-up)
Tool handlers that want to emit application-level log events (e.g. "installed
plugin X", "delegated to workspace Y") should import and call `info()`/`warn()`
directly. The `AsyncLocalStorage` context is already active during handler
execution so those calls automatically carry `toolName` etc.
Correlation IDs from a platform trace header (`X-Trace-ID`) are not yet wired up —
the MCP SDK does not expose request headers to handlers. A follow-up will be needed
once the SDK supports header access or we adopt a middleware approach.
---

228
package-lock.json generated
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@ -9,6 +9,8 @@
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@ -1052,6 +1054,11 @@
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@ -1635,6 +1642,14 @@
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@ -2097,6 +2112,11 @@
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@ -2182,6 +2202,14 @@
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@ -2306,6 +2334,14 @@
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@ -2536,6 +2572,11 @@
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@ -2549,6 +2590,11 @@
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@ -3734,6 +3785,14 @@
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}
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@ -3985,7 +4044,6 @@
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@ -4104,6 +4162,14 @@
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}
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@ -4314,6 +4380,82 @@
"url": "https://github.com/sponsors/jonschlinkert"
}
},
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},
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}
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@ -4374,6 +4516,21 @@
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@ -4387,6 +4544,15 @@
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View File

@ -13,6 +13,8 @@
},
"dependencies": {
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"pino": "^9.6.0",
"pino-pretty": "^13.0.0",
"zod": "^3.23.0"
},
"devDependencies": {

View File

@ -12,6 +12,8 @@ export const PLATFORM_URL =
* Shape returned by apiCall when the request fails (network error, non-2xx,
* or non-JSON body with no error). Returned-by-value apiCall never throws.
*/
import { error as logError } from "./utils/logger.js";
export type ApiError = { error: string; detail?: string; raw?: string; status?: number };
export function isApiError(v: unknown): v is ApiError {
@ -59,8 +61,7 @@ export async function apiCall<T = unknown>(
}
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
// stdio MCP servers must log to stderr; stdout is the protocol channel.
console.error(`Molecule AI API error (${method} ${path}): ${msg}`);
logError(err, `Molecule AI API error (${method} ${path})`, { platformUrl: PLATFORM_URL });
return { error: `Platform unreachable at ${PLATFORM_URL}`, detail: msg };
}
}
@ -129,7 +130,7 @@ export async function platformGet<T = unknown>(
}
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
console.error(`Molecule AI API error (GET ${path}): ${msg}`);
logError(err, `Molecule AI API error (GET ${path})`, { platformUrl: PLATFORM_URL });
return { error: `Platform unreachable at ${PLATFORM_URL}`, detail: msg };
}
}

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@ -13,6 +13,7 @@ import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { PLATFORM_URL, apiCall } from "./api.js";
import { info as logInfo, warn as logWarn, error as logError } from "./utils/logger.js";
import { registerWorkspaceTools } from "./tools/workspaces.js";
import { registerAgentTools } from "./tools/agents.js";
import { registerSecretTools } from "./tools/secrets.js";
@ -195,22 +196,27 @@ async function main() {
try {
const res = await fetch(`${PLATFORM_URL}/health`);
if (res.ok) {
console.error(`Molecule AI platform connected: ${PLATFORM_URL}`);
logInfo("Molecule AI platform connected", { platformUrl: PLATFORM_URL });
} else {
console.error(`WARNING: Molecule AI platform at ${PLATFORM_URL} returned ${res.status}. Tools may fail.`);
logWarn(`Molecule AI platform at ${PLATFORM_URL} returned ${res.status}. Tools may fail.`, {
platformUrl: PLATFORM_URL,
status: res.status,
});
}
} catch {
console.error(`WARNING: Cannot reach Molecule AI platform at ${PLATFORM_URL}. Start it with: cd platform && go run ./cmd/server`);
} catch (err) {
logWarn(`Cannot reach Molecule AI platform at ${PLATFORM_URL}. Start it with: cd platform && go run ./cmd/server`, {
platformUrl: PLATFORM_URL,
});
}
const server = createServer();
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("Molecule AI MCP server running on stdio (87 tools available)");
logInfo("Molecule AI MCP server running on stdio (87 tools available)", { transport: "stdio", toolCount: 87 });
}
// Only auto-start when run directly (not when imported for testing).
// JEST_WORKER_ID is set automatically by Jest in every worker process.
if (!process.env.JEST_WORKER_ID) {
main().catch(console.error);
main().catch((err) => logError(err, "MCP server main() threw unexpectedly"));
}

78
src/utils/context.ts Normal file
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@ -0,0 +1,78 @@
/**
* AsyncLocalStorage context for structured logging.
*
* Each MCP tool call runs in an isolated AsyncLocalStorage slot. The slot is
* populated at the start of the handler (before any business logic runs) with
* whatever context fields are available from the MCP request:
*
* - toolName the tool being called
* - requestId the JSON-RPC request id (if present)
* - workspaceId X-Workspace-ID header value (if present)
*
* Any downstream code (apiCall, platformGet, tool helpers) that calls
* `getContext()` automatically picks up the current call's fields without
* needing them threaded through every function signature.
*
* Example:
* import { getContext, withContext } from "./context.js";
*
* // In a tool handler:
* const ctx = getContext();
* ctx.toolName; // "list_workspaces"
*
* // When launching an async operation:
* await withContext({ taskId: "abc123" }, async () => {
* await doSomething();
* });
*/
import { AsyncLocalStorage } from "async_hooks";
/** Fields that are available in every MCP tool-call context. */
export interface RequestContext {
toolName?: string;
requestId?: string;
workspaceId?: string;
/** Extra fields merged in via withContext(). */
[key: string]: string | undefined;
}
/** The AsyncLocalStorage slot — package-private. */
const _als = new AsyncLocalStorage<RequestContext>();
/**
* Get the current request context, or an empty object if called outside any
* AsyncLocalStorage scope (e.g. module-level init, health-check, etc.).
*/
export function getContext(): RequestContext {
return _als.getStore() ?? {};
}
/**
* Run `fn` inside a context that inherits the current AsyncLocalStorage slot
* plus any additional fields passed in `extra`. This is the primary way to
* propagate context into background tasks, setTimeout callbacks, etc.
*
* @example
* await withContext({ taskId: "abc" }, () => sendHeartbeat());
*/
export function withContext<R>(
extra: Partial<RequestContext>,
fn: () => R,
): R {
const parent = getContext();
const merged = { ...parent, ...extra };
return _als.run(merged, fn);
}
/**
* Run `fn` inside a fresh context that starts from `initial` (no inherited
* fields). Use this at the top of a request/handler to establish a clean
* slate.
*/
export function runWithContext<R>(
initial: RequestContext,
fn: () => R,
): R {
return _als.run(initial, fn);
}

102
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@ -0,0 +1,102 @@
/**
* Structured logger for the Molecule AI MCP server.
*
* All log output is JSON (machine-parseable). During development / when
* NODE_ENV !== "production" the output is pretty-printed so humans can read it.
*
* Every log entry includes:
* - level numeric pino level (30 = warn, 50 = error)
* - time ISO-8601 timestamp
* - pid process ID
* - hostname machine hostname
* - msg human-readable message
* - err (on error entries) error object with message + stack
*
* Plus whatever fields are passed as additional arguments, e.g.:
* log.warn({ workspaceId: "ws_123", tool: "list_workspaces" }, "rate limit hit")
*
* The MCP request context from src/utils/context.ts is automatically attached
* to every entry when inside a tool-call scope (toolName, requestId, workspaceId).
*/
import { getContext } from "./context.js";
/** Logger instance returned by pino(). */
type PinoLogger = {
info: (bindings: Record<string, unknown>, msg: string) => void;
warn: (bindings: Record<string, unknown>, msg: string) => void;
error: (bindings: Record<string, unknown>, msg: string) => void;
debug: (bindings: Record<string, unknown>, msg: string) => void;
};
// Lazy singleton — created on first log call so tests that mock console run
// before the first actual log invocation.
let _logger: PinoLogger | null = null;
function logger(): PinoLogger {
if (!_logger) {
// eslint-disable-next-line @typescript-eslint/no-var-requires
// eslint-disable-next-line @typescript-eslint/no-explicit-any
const pino = require("pino") as any;
_logger = pino({
// Level 30 (warn) and above; quiet by default so MCP protocol traffic
// is not logged (only application-level events).
level: Number(process.env["LOG_LEVEL"] ?? 30),
// Pretty-print when run interactively (TTY) or when explicitly requested.
transport:
process.env["NODE_ENV"] !== "production" || process.stdout.isTTY
? { target: "pino-pretty", options: { colorize: true } }
: undefined,
base: {
// Strip the pid and hostname fields that pino adds by default — they
// are noise for a containerised MCP server.
pid: undefined,
hostname: undefined,
},
// Do not redact anything by default; the platform handles secrets.
redact: [],
});
}
return _logger!;
}
// ---------------------------------------------------------------------------
// Public helpers
// ---------------------------------------------------------------------------
/**
* Emit an INFO-level structured log.
* Automatically includes the current AsyncLocalStorage context fields.
*/
export function info(msg: string, extra: Record<string, unknown> = {}): void {
logger().info({ ...getContext(), ...extra }, msg);
}
/**
* Emit a WARN-level structured log. Use for expected-but-worthy conditions:
* rate-limited API calls, skipped optional steps, deprecation notices.
*/
export function warn(msg: string, extra: Record<string, unknown> = {}): void {
logger().warn({ ...getContext(), ...extra }, msg);
}
/**
* Emit an ERROR-level structured log. Includes the Error object as `err`.
* MCP handlers must NOT use this for user-facing errors (return a structured
* MCP error response instead); this is for internal failures that operators
* need to correlate in logs.
*/
export function error(err: unknown, msg: string, extra: Record<string, unknown> = {}): void {
const e =
err instanceof Error
? { message: err.message, stack: err.stack, name: err.name }
: { message: String(err) };
logger().error({ ...getContext(), ...extra, err: e }, msg);
}
/**
* Emit a DEBUG-level structured log. Only emitted when LOG_LEVEL=20.
*/
export function debug(msg: string, extra: Record<string, unknown> = {}): void {
logger().debug({ ...getContext(), ...extra }, msg);
}