otel-mcp
otel-mcp
An MCP server that emits OpenTelemetry traces, metrics, and logs to one or more OTLP endpoints at the same time, in any of the three OTLP wire formats:
grpc— OTLP/gRPC (protobuf over HTTP/2)http/protobuf— OTLP/HTTP binary protobufhttp/json— OTLP/HTTP proto3-JSON (spec-compliant)
It also ships tool-mimicry profiles that produce realistic signal bundles shaped like well-known tools (nginx, postgres, redis, kafka, aws-lambda, kubernetes pod, generic gRPC service), so you can populate a collector or backend with traffic that looks like a real environment.
Install
uv venv
uv pip install -e .Run
otel-mcp # stdio transport — wire into any MCP clientOr via an MCP client config (e.g. Claude Desktop, Claude Code):
{
"mcpServers": {
"otel": {
"command": "otel-mcp"
}
}
}Env bootstrap
If OTEL_EXPORTER_OTLP_ENDPOINT is set on launch, an endpoint named default
is registered using the standard OTEL env vars:
OTEL_EXPORTER_OTLP_ENDPOINTOTEL_EXPORTER_OTLP_PROTOCOL(grpc|http/protobuf|http/json)OTEL_EXPORTER_OTLP_HEADERS(comma-separatedk=vpairs)OTEL_EXPORTER_OTLP_INSECURE(gRPC TLS toggle)
Tools
Endpoint management
Tool | Purpose |
| Register a named OTLP destination (url, protocol, signals, headers, …). |
| Drop one endpoint by name. |
| Drop every endpoint. |
| Enumerate current endpoints. |
| Endpoints + available mimic profiles. |
Endpoints are selected per call: every signal-emitting tool accepts an
endpoints: [names] arg. Omit it to fan out to every endpoint that accepts
that signal type.
Raw signal emission
Tool | Shape of input |
|
|
|
|
|
|
Mimicry
Tool | Purpose |
| Show every profile with its parameters. |
| Run one profile and send its bundle once. |
| Run a profile on a loop to simulate sustained traffic. |
Built-in profiles:
Profile | What it looks like |
| Server spans with HTTP semconv, access logs, request counters & latency histograms. |
| DB client spans with |
| DB client spans with |
| Producer/consumer spans with messaging semconv. |
| Server spans with |
| Resource = full |
| Server spans with |
Example session
> add_endpoint name="otel-collector" url="http://localhost:4318" protocol="http/protobuf"
> add_endpoint name="jaeger-json" url="http://localhost:4318" protocol="http/json" signals=["traces"]
> mimic_tool profile="nginx" options={"count": 50, "error_rate": 0.1}
> mimic_tool profile="postgres"
> generate_load profile="kafka" iterations=10 interval_seconds=2
> send_trace service_name="checkout" spans=[
{"name": "POST /checkout", "kind": "server", "duration_ms": 42, "attributes": {"http.response.status_code": 200}},
{"name": "charge_card", "kind": "client", "parent_name": "POST /checkout", "duration_ms": 18,
"attributes": {"peer.service": "stripe"}}
]Adding a new mimic profile
Write a function returning a
MimicBundleinsrc/otel_mcp/mimics.py.Register it in the
PROFILESdict at the bottom of that file.Call
list_mimic_profilesto confirm it picked up the parameters.
Profiles stay declarative: each returns span/metric/log specs that flow through the same generator pipeline, so they inherit correct resource merging, wire format support, and fan-out automatically.
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