mcpsignals (Python)
Drop-in instrumentation for MCP servers. Wrap your server, point it at a sink, and it records what agents did with your tools into a database you own - no hosted service, no account.
Requires Python 3.10 or newer. Targets the v2 mcp SDK (MCPServer /
low-level Server, mcp>=2.0.0).
Install
pip install mcpsignals
# with a warehouse sink:
pip install "mcpsignals[postgres]" # or [bigquery], [otlp]
Usage
from mcp.server.mcpserver import MCPServer
from mcpsignals import instrument
server = MCPServer("my-server")
instrument(server, server_name="my-server", server_version="1.0.0")
@server.tool()
def search(query: str) -> str:
"""Search something."""
return f"results for {query}"
Call instrument() any time before the server starts handling requests. It
appends to server.middleware, and that chain is rebuilt from the live list
on every request, so calling it before or after your @server.tool()
definitions makes no difference. The Node.js package differs here: it wraps
registerTool, so it has to run before any tool is registered.
With no sink configured it writes JSON lines to stdout. On a stdio
transport pass sinks=[ConsoleSink(stream=sys.stderr)], because the MCP
spec reserves stdout for protocol messages. To write to your own warehouse
instead:
from mcpsignals import instrument
from mcpsignals.sinks import PostgresSink
instrument(server, server_name="my-server", sinks=[PostgresSink(dsn="postgresql://...")])
Argument capture and redaction
Off by default: no tool arguments are recorded unless you opt in with
capture_arguments=True. Even then, by default only argument keys and
value types are recorded, never values. See the root README's redaction
section before enabling this in anything handling real user data.
Identity: user_id and org_id
resolve_identity is the only thing that ever fills in user_id and
org_id. Without it both stay None on every event.
def resolve_identity(ctx):
account = look_up_account(ctx) # your auth layer, not ours
return (account.id, account.org_id) if account else (None, None)
instrument(server, server_name="my-server", resolve_identity=resolve_identity)
It receives the middleware's ServerRequestContext and returns a
(user_id, org_id) tuple. It may be a plain function or a coroutine;
either is awaited correctly. Returning (None, None) records a null
identity, which is what the column means for an anonymous call.
The Node.js package differs here: it passes { sessionId } rather than the
raw context, and returns an object. Porting a resolver between the two means
rewriting both ends. Note that the context Python hands you carries no
session id of its own, for the reason in the limitation below.
It runs after your handler settles, so a slow resolver never lands in
duration_ms (wall time from call start to response, per
schema/events.md). A resolver that raises is
logged once and costs you the identity on that event, nothing else: the
event is still recorded, and your handler's result or exception reaches the
client untouched.
Buffering and flush timing
Events are batched in memory rather than written one per call.
buffer_size (default 20) flushes after that many events;
flush_interval_s (default 5.0) flushes on a timer. Whichever comes first
wins, plus a best-effort atexit flush.
instrument(
server,
server_name="my-server",
sinks=[PostgresSink()],
buffer_size=100, # fewer, larger writes
flush_interval_s=10.0,
)
Raising buffer_size trades memory and worst-case loss for fewer round
trips: a crash loses whatever is still buffered.
The atexit flush is best-effort only. It needs an event loop that may not
exist at interpreter shutdown, and it logs a warning and drops the buffer
when there is none. Anything that must not be lost should go through an
explicit await handle_for(server).flush() before you shut down.
flush_interval_s=None is manual mode, covered next.
Request-scoped runtimes and manual flushing
instrument() returns the server unchanged. handle_for(server) returns an
InstrumentHandle with two coroutines: flush() delivers everything
buffered so far to every sink, and close() does a final flush, cancels the
interval task, and unregisters the atexit hook. The handle is held in a
weak registry keyed by the exact server object, so it lives as long as the
server does; handle_for() returns None for a server that never went
through instrument().
On a long-lived process, ignore the handle: the interval task and the
atexit hook flush for you. Neither is reliable on a request-scoped host
(a serverless function, or a server built fresh per request): the process
can be frozen or discarded right after the response is sent, and atexit
does not correspond to "this invocation is ending".
Pass flush_interval_s=None for manual mode. The buffer then skips both the
interval task and the atexit hook, so the host owns every flush:
from mcp.server.mcpserver import MCPServer
from mcpsignals import handle_for, instrument
async def handle_request(request):
server = MCPServer("my-server")
instrument(
server,
server_name="my-server",
sinks=[...],
flush_interval_s=None, # manual mode: the host flushes explicitly
)
@server.tool()
def search(query: str) -> str:
return f"results for {query}"
response = await serve(request, server)
await handle_for(server).flush() # before returning the response
return response
Call close() instead of flush() when the server is done for good: at the
end of a test, or when a per-request server is discarded. In the default
interval mode, close() is also what stops the interval task and removes the
atexit hook, so a test suite that instruments many servers does not
accumulate either. Both flush() and close() are safe to await more than
once.
Known limitation: session_id
mcp 2.0.0's middleware-facing ServerRequestContext does not publicly
expose the transport's connection-level session id (only the
handler-facing Context class does, via a private accessor middleware
doesn't have). session_id on emitted events is therefore only ever
populated when intent capture is enabled and the calling agent supplies
one - not from the underlying transport connection. See instrument.py
for details; this will be revisited if/when upstream exposes it to
middleware.
Full docs
See the root README for the redaction model, the sink
comparison, and intent capture, and schema/events.md
for the event field reference.
Release files for mcpsignals 2.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mcpsignals-2.3.0.tar.gz | 131.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mcpsignals-2.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 154.5 kB
Release files / mcpsignals-2.3.0.tar.gz
| Download URL | mcpsignals-2.3.0.tar.gz |
|---|---|
| Size | 131.0 kB |
| Tags | Source |
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