nats-trail
Exposes a natstrail.enrich_sentry tool that pulls event-bus context into incident triage — reconstructing the causal flow for a request_id, surfacing dead-letter messages, and ranking what is broken — so Sentry incidents can be enriched with NATS/JetStream production data. A read-only HTTP integration API with per-token auditing backs the same capability for Sentry and other dashboards.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@nats-trailtrace request id req-0001d across streams and show me where it failed"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Why this exists
Every NATS GUI answers "what is in this stream?". That is the easy question.
The hard question in an event-driven system is "why did this one flow fail?" — and answering it
means following a single request_id across four streams, three services and a dead-letter subject.
Today you do that by hand, with a terminal per stream.
NATS Trail answers that question directly, and exposes the answer to agents as a typed, bounded, read-only tool contract — so you can point Claude at production and ask.
nats-trail trace --request-id req-0001d --limit 20Or, from an agent: "Why did the refresh for s3-events fail?" — and it lands on the message that actually broke, with the retry state and the correlation ids already extracted:
Related MCP server: k8s-telemetry-mcp
The part nobody else does
There are several NATS MCP servers. They shell out to the nats CLI, return raw dumps, and expose
publish and delete while describing themselves as read-only.
NATS Trail treats the agent surface as a contract, not a wrapper:
NATS Trail | Typical NATS MCP server | |
Tool schemas | Explicit JSON input and output schemas per tool | None, or input only |
Result size |
| Unbounded |
Long scans |
| Scans until it dies |
Message shape | subject, timestamp, stream/seq, truncation flag, extracted | Raw payload dump |
Errors | Structured envelope with | Stack traces or plain strings |
Writes | Unreachable from the agent runtime |
|
Audit | Every call logged with origin and token identity; mutations with their arguments | None |
"Read-only" here means unreachable, not disabled
NATS Trail can write: publish, purge, delete messages, consumers and streams. Those live behind
/api/mutate, reachable from the UI and the CLI.
executeMcpTool() receives an McpRuntimeData interface that exposes only read functions. There is
no disabled publish behind a feature flag — there is no publish to call. A misconfigured
environment variable cannot purge your production stream, because the code path does not exist. CLI
write commands additionally refuse to run under --agent, and the test suite reads the source to
assert none of this has been quietly undone.
This is the only reason it is reasonable to hand an agent a prod context.
Install
npx nats-trail serveOpen http://127.0.0.1:4000 — one process serves the UI and the API.
Prefer containers? The compose file brings up NATS Trail next to a JetStream-enabled server:
docker compose upOn Kubernetes, the Helm chart declares contexts and correlation keys in values.yaml and keeps
credentials in a Secret:
helm install nats-trail ./charts/nats-trail -f my-values.yamlSee charts/nats-trail/README.md for declarative config, why it is a
single-replica StatefulSet, and how authentication is delegated to whatever fronts the service.
git clone https://github.com/solsolettidev/nats-trail
cd nats-trail
npm install
npm startnpm run devUI: http://localhost:5173 (proxies
/apiand/wsto the bridge)API bridge: http://localhost:4000
npm run dev runs the TypeScript watcher, the API bridge and the UI together.
Requirements: Node.js >= 22 (for the built-in SQLite used by the correlation index) and a reachable NATS server (nats-server -js is fine).
Use it as an MCP server
Point any MCP client at the stdio server. For Claude Code:
claude mcp add nats-trail -- npx -y @nats-trail/mcpOr wire it manually:
{
"mcpServers": {
"nats-trail": {
"command": "natstrail-mcp",
"env": {
"NATS_TRAIL_API": "http://127.0.0.1:4000",
"NATS_TRAIL_TOKEN": "<bearer token>"
}
}
}
}Twenty-five read-only tools, all returning the same envelope:
# start here when the topology is unknown
natstrail.discover_subjects subjects that carry traffic + inferred payload shapes
natstrail.get_health_summary what is broken right now, ranked
natstrail.reconstruct_flow the causal chain for one request_id
natstrail.enrich_incident flat context for an incident: flow + dead letters + health
# messages
natstrail.search_messages natstrail.get_message_detail
natstrail.trace_by_request_id natstrail.trace_by_correlation_id
natstrail.search_dlq natstrail.run_filter
# topology
natstrail.list_streams natstrail.get_stream_info
natstrail.list_consumers natstrail.list_kv_buckets
natstrail.list_kv_keys natstrail.get_kv_history
natstrail.list_object_buckets natstrail.list_objects
# operations
natstrail.get_server_health natstrail.list_server_connections
natstrail.list_contexts natstrail.get_connection_status
natstrail.list_filters natstrail.list_audit
natstrail.enrich_sentrySee docs/mcp-agent.md.
Three surfaces, one engine
┌── Web UI explore visually, save filters
Query Engine ───┼── CLI scripts, pipelines, humans in a terminal
(core) └── MCP + HTTP API agents, Sentry, dashboardsA filter you save in the UI is the same filter nats-trail filter run executes, and the same one
natstrail.run_filter hands an agent. Configure a context once; use it everywhere.
packages/ui— React + Vite. Presentation only.packages/server— Express + WebSocket bridge. Owns connections and credentials.packages/core— the Query Engine: envelopes, limits, truncation, filters, error normalization.packages/cli— thenats-trailbinary: query commands,serve, and an interactive shell.packages/mcp— tool contracts and the stdio server.
See docs/architecture.md.
Features
Inspect — context selector (local / dev / staging / prod) with a prod confirmation gate, live subject subscription, JSON pretty print with tree view and in-payload search, stream and consumer browsing, auto-detected DLQ panel.
Understand — subject discovery infers payload shapes from real traffic, flow reconstruction
turns one request_id into a causal chain, and the health summary ranks what is actually broken.
Query — bounded stream scans with cursors and time windows, filters by subject, date, text and JSON event type, saved filters shared across all three surfaces. Binary payloads (protobuf, msgpack) are detected and shown as hex dumps rather than mojibake.
Browse — KV buckets with per-key revision history including deletes, Object Store metadata, and
server health from the monitoring port (varz / jsz / connz).
Change — publish, request/reply, purge, and delete messages, consumers and streams, from the UI and the CLI, behind confirmation. Never from the agent surface.
Integrate — read-only HTTP API under /api/integration, bearer tokens with per-token audit
identity, and POST /api/integration/enrich/sentry to attach NATS context to an error without
exposing credentials.
Full list in docs/features.md · CLI reference in docs/cli.md.
Security
Credentials live in contexts stored locally under data/ (git-ignored). The UI never holds the NATS
connection — it always goes through the bridge, which pools one connection per context.
The server binds to 127.0.0.1 by default because /api/contexts and /api/connect are
unauthenticated local endpoints. To expose the Integration API and the WebSocket, configure bearer
tokens with NATS_TRAIL_TOKENS=name:token or data/tokens.json; audit entries then record the
authenticated token name per call.
A shared deployment has no built-in login on purpose: identity comes from whatever fronts the
service (an ingress with OIDC, oauth2-proxy, Cloudflare Access, Teleport or network isolation), so no
passwords are stored here. Contexts declared through NATS_TRAIL_CONFIG resolve ${VAR} from the
environment and cannot be edited or deleted through the API.
Roadmap
Tracked in docs/roadmap.md.
Phases 0–3 are complete. npm release · KV and Object Store browsing · server health · binary payload handling · nkey auth · subject discovery · flow reconstruction · health summary · incident enrichment for Sentry, Grafana, Datadog and PagerDuty · stream, consumer and KV administration · MCP registry listing · indexed correlation search · declarative config and a Helm chart. All writes are human-only, behind scoped tokens and audited with their arguments.
Next: cluster awareness, deliberately deferred rather than pending work.
Deliberately out — protobuf and msgpack field decoding (needs a per-subject schema registry)
and competing with NUI on GUI breadth. See
docs/roadmap.md.
Planned, not started: for teams that explicitly want agent writes, a separate opt-in binary
(natstrail-mcp-write) that has to be installed on purpose. Never a flag on the read-only server:
the guarantee above is only worth something if it cannot be switched off by accident.
Contributing
Issues and PRs welcome. See docs/development.md for the build layout.
License
Apache-2.0 © Sol Soletti
This server cannot be deployed
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