Untersuche OpenTelemetry traces, logs und metrics und verwalte deine persönlichen Dashboards direkt über einen AI-Client.
Auch bekannt als labstack/pitot
- Stars
- 124
- Tools
- —
- Downloads, 30 Tage
- —
- Neueste Version
- 2026.11.7-alpha
- Letzter Commit
- 14. Nov. 2026
- Lizenz
- Apache-2.0
Was ist Pitot MCP?
Pitot ist ein MCP server. Untersuche OpenTelemetry traces, logs und metrics und verwalte deine persönlichen Dashboards direkt über einen AI-Client.
Zusammenfassung generiert aus dem README des Projekts
Über Pitot MCP server
Pitot ermöglicht es Entwicklern, die Observability zu verwalten, indem sie OpenTelemetry traces, logs und metrics direkt über einen AI-Client untersuchen. Diese Single-Binary-Lösung bündelt Ingestion, Parquet-Speicherung und DuckDB-Analytics in einem einzigen Prozess, wodurch externe Storage-Services oder komplexe verteilte Stacks überflüssig werden. Es fungiert als lokaler oder remote Server, der OTLP-Daten via gRPC oder HTTP annimmt.
Nutzer können externe Agents über den MCP server verbinden, um auf typisierte Query-Tools zuzugreifen. Um eine konversationelle Untersuchung zu ermöglichen, musst du beim Start einen Anthropic oder OpenAI API key angeben. Das System bietet integrierte Dashboards zur Überwachung von Service-Error-Rates, Latenz und Durchsatz sowie einen Investigation Agent, der Telemetry-Daten in einfache Sprache übersetzt. Da es sich um ein Single-Node-Tool handelt, ist es für Umgebungen konzipiert, in denen die Daten auf deiner lokalen Festplatte bleiben, anstatt an verwaltete Cloud-Provider gesendet zu werden.
Was du damit machen kannst
- 1Telemetry per Natural Language abfragenLass dir von einem AI Agent spezifische Telemetry-Muster erklären oder Fragen zum Verhalten deines Systems beantworten.
- 2Service Health via Dashboards überwachenVerfolge kritische Performance-Indikatoren wie Error-Rates und Latenz über integrierte visuelle Tools.
- 3Externe AI Agents via MCP verbindenIntegiere deine bestehenden AI-Workflows über das Model Context Protocol mit den Telemetry-Daten von Pitot.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
So installierst du Pitot MCP
Pitot gibt jedem Account einen eigenen Endpoint, daher gibt es hier keine Adresse zum Kopieren. Hol dir deinen vom Anbieter, setze ihn an die Stelle des Teils in geschweiften Klammern und füge ihn in deinem Client als Remote-Server hinzu.
https://{pitot_host}/mcp
Konfiguration
OTEL_EXPORTER_OTLP_ENDPOINTOTEL_EXPORTER_OTLP_HEADERSOTEL_EXPORTER_OTLP_PROTOCOLPITOT_AUTH_CODE_SECRET
| Name | Beschreibung | Typ |
|---|---|---|
| OTEL_EXPORTER_OTLP_ENDPOINT | — | |
| OTEL_EXPORTER_OTLP_HEADERS | — | |
| OTEL_EXPORTER_OTLP_PROTOCOL | — | |
| PITOT_AUTH_CODE_SECRET | — |
Automatisierte Checks
Geluften am 13. Nov. 2026Vollständiger Bericht →Unsere automatisierten Checks bestanden. Das ist kein Security-Audit: Lies den Code und gib dem Server nur den minimal notwendigen Zugriff. Wie die Checks funktionieren
- Source Repository verknüpft und erreichbarBestanden
- Open Source Lizenz (OSI)Bestanden
- Commit oder Release im letzten JahrBestanden
- Package-Name ähnelt keinem populären PackageNicht geprüft
- Remote Endpoint nutzt HTTPSBestanden
- Destruktive Tools sind markiertNicht geprüft
- Keine versteckten Anweisungen an das ModellBestanden
- Keine kritischen Advisories im Paket oder seinen AbhängigkeitenNicht geprüft
README
Auf GitHub ansehenPitot
Pitot (pronounced PEE-toh).
Observability your agents can operate. Send OpenTelemetry to one binary, then investigate with Pitot's built-in agent or connect your own over MCP.
Current Pitot interface with deterministic offline sample telemetry.
Pitot keeps OpenTelemetry traces, logs, and metrics in one binary and one data directory, with no external storage services to operate. Pitot is pre-release and changes without migration paths; the browser client, built-in agent, MCP tools, dashboards, and alerts are preview capabilities (status). Start with the documentation or run it below.
- OTLP ingest over gRPC and HTTP, with local Parquet storage and DuckDB analytics.
- Explore and PitotQL for querying telemetry without an AI provider.
- An investigation agent that answers questions about your telemetry in plain language.
- An MCP server for external agents using the same typed query tools.
- Dashboards across traces, logs, and metrics, and alerts on service error rate, latency, throughput, and log volume.
Quick start
Docker
docker run --name pitot --restart unless-stopped -p 7520:7520 \
-v pitot-data:/var/lib/pitot/data \
-e PITOT_AUTH_CODE_SECRET=$(openssl rand -hex 32) \
labstack/pitot:latest
Open the one-time setup URL printed by the container and create the first administrator. Pitot
displays the ingest token exactly once, unless PITOT_INGEST_TOKEN already set it; save it with your collector secrets. For later sign-in
without SMTP, mint a 15-minute, single-use link against the running container's control database:
docker exec pitot pitot login-link admin@example.com
The UI, API, MCP, and both OTLP transports share port 7520. See
installation for image defaults and bind-mount ownership, and
first boot for setup and SMTP login.
Native binary
Install a checksum-verified release for Linux or macOS, amd64 or arm64:
curl -fsSL https://raw.githubusercontent.com/labstack/pitot/main/scripts/install.sh | sh
export PITOT_AUTH_CODE_SECRET=$(openssl rand -hex 32)
pitot
Set PITOT_VERSION to a release tag, such as v2026.11.0-alpha, to pin a release, and PITOT_PREFIX to choose the installation
directory. Native installs bind 127.0.0.1:7520; set PITOT_ADDR=:7520 for remote access, then
follow the same first-boot setup.
Send telemetry
A standard OTLP/HTTP exporter can use the saved ingest token:
export OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf
export OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:7520
export OTEL_EXPORTER_OTLP_HEADERS="authorization=Bearer%20$INGEST_TOKEN"
For a Collector on the same private container network, the forwarding side is:
exporters:
otlp_http/pitot:
endpoint: http://pitot:7520
headers:
Authorization: "Bearer ${env:INGEST_TOKEN}"
service:
pipelines:
traces: { receivers: [otlp], exporters: [otlp_http/pitot] }
metrics: { receivers: [otlp], exporters: [otlp_http/pitot] }
logs: { receivers: [otlp], exporters: [otlp_http/pitot] }
Use an existing otlp receiver, set INGEST_TOKEN, and replace pitot with the Collector's
reachable private hostname. OTLP/gRPC uses localhost:7520 locally; see send
telemetry for TLS and HTTP/2 setup.
Enable chat
Select PITOT_AI_PROVIDER=anthropic and inject ANTHROPIC_API_KEY, or select
PITOT_AI_PROVIDER=openai and inject OPENAI_API_KEY, then restart Pitot; the selected provider
requires its key at startup. With no provider, chat is disabled and the other features still work.
See AI settings.
Connect an MCP client
Set PITOT_PUBLIC_URL to your stable, externally reachable HTTPS origin, then point a remote MCP
client at that origin's /mcp endpoint. The client discovers and registers through OAuth; you
authorize its scopes in the browser. Pitot serves MCP 2026-07-28 and, through the initialize
handshake, 2025-11-25 and 2025-06-18 over Streamable HTTP. See connect over
MCP for setup and permissions.
How it compares
| If you use | Where Pitot differs |
|---|---|
| Grafana with Loki, Tempo, and Mimir | That stack keeps a service and a query language per signal, plus object storage underneath. Pitot keeps one process, one data directory, and one typed contract across all three signals, at the cost of the horizontal scale those components are built for. |
| SigNoz | Both are OTLP-native and self-hosted. SigNoz composes a collector, ClickHouse, and query services; Pitot compiles ingest, authoritative Parquet storage, indexed trace reads, DuckDB analytics, alerting, and the browser client into one binary. |
| Jaeger | Jaeger covers traces and expects a storage backend you run separately. Pitot ingests traces, logs, and metrics into the same store, with nothing else to deploy. |
| Prometheus with Grafana | Prometheus pulls metrics and is excellent at them. Pitot accepts pushed OTLP for all three signals and is built around investigating a specific incident rather than maintaining long-range metric series. |
| Datadog, Honeycomb, Grafana Cloud | Those are managed services: someone else runs the storage, the scaling, and the upgrades, and your telemetry leaves your network to get there. Pitot is a binary you run, on data that stays on your disk. |
| An OpenTelemetry Collector piped into ClickHouse | The same shape, assembled by hand: collector, database, dashboards, and the glue between them. Pitot is that assembly as one program, with an agent and an MCP server already wired to the same query contract. |
Pitot is a single node. It has no clustering, no replication, and no object tier; a deployment that outgrows one machine's disk and CPU has outgrown Pitot.
Architecture
One process contains ingest, storage, query, alerts, the agent, MCP, and the React client. Browser and agent clients share a typed observability contract.
Parquet holds telemetry, DuckDB query state is rebuildable, and SQLite holds transactional product state. See how storage works for durable ingest, indexed reads, and compaction while reads continue.
Configuration
Configuration is environment-only: built-in defaults followed by nonempty process environment values, validated before data files or listeners open. Settings are read once at startup; every change requires a restart.
| Environment variable | Default | Purpose |
|---|---|---|
PITOT_ADDR |
127.0.0.1:7520 |
UI, API, MCP, and both OTLP transports |
PITOT_DATA_DIR |
./data |
Parquet, query state, and control SQLite |
PITOT_AUTH_MODE |
local |
Login link or SMTP, or oidc |
PITOT_AUTH_CODE_SECRET |
— | Required in local mode and for OIDC break-glass links, 32+ characters |
PITOT_AI_PROVIDER |
— | Empty disables chat; anthropic or openai enables it |
ANTHROPIC_API_KEY |
— | Required for Anthropic chat |
OPENAI_API_KEY |
— | Required for OpenAI chat |
PITOT_RETENTION_DAYS |
30 |
Telemetry retention window |
PITOT_MCP_ENABLED |
true |
Serve the MCP endpoint at /mcp |
Every secret accepts <NAME>_FILE instead of its value; see the settings
reference for validation and runtime secret
delivery for deployment examples.
Advanced DuckDB sizing
Pitot sizes DuckDB automatically; measured workloads can override memory, connections, and threads as described in DuckDB sizing.
For TLS, health checks, backups, upgrades, retention, and recovery, see the operator runbook.
Performance
Pitot v2026.11.0-alpha accepted 507,311 mixed OpenTelemetry items/s over 306.8 seconds on a Hetzner Cloud ccx33 (8 dedicated vCPUs, 32 GB RAM), with telemetrygen on a separate ccx33. The ingest run on 6 November 2026 passed every quality gate. See the performance methodology. Pitot Bench reproduces the measurement on your hardware.
Build from source
- Go 1.27.3 and a C/C++ toolchain on native Linux or macOS, amd64 or arm64.
Build with
just buildorbash scripts/with-duckdb.sh go build ./cmd/pitot; the wrapper supplies DuckDB's pinned headers, static libraries, and CGO flags. The first build needs network access to download the checksum-verified engine. - Bun — compiles the browser assets
- Node.js 24.19.0 — runs development helpers and builds the documentation site
- just — task runner
- A 32-character authentication code secret
git clone https://github.com/labstack/pitot.git
cd pitot
just install # browser dependencies and git hooks
just build # browser assets, then the binary
Run it with the minimum configuration:
export PITOT_AUTH_CODE_SECRET=$(openssl rand -hex 32) # must be 32+ characters
./bin/pitot
Open http://localhost:7520 and follow first-boot setup. SMTP and chat are optional; without SMTP,
run ./bin/pitot login-link admin@example.com with the same configuration and data directory.
Development
Run just to list recipes, just check for the full gate, just test for Go tests, and just ui
to rebuild embedded browser assets. See CONTRIBUTING.md for environment setup,
generated assets, hooks, and project layout.
Releases
Versions are CalVer — vYYYY.M.N[-alpha|-beta|-rc], numbered from 0 within each month across all
maturity suffixes. Pitot is alpha (for example, v2026.11.0-alpha); GA has no suffix.
Container tags omit the leading v, and every release moves latest. Tagged releases publish
identical manifests to Docker Hub (labstack/pitot) and GHCR (ghcr.io/labstack/pitot); GHCR is
canonical and also carries development images.
| Image tag | Points at |
|---|---|
labstack/pitot:latest |
the newest release, mirrored on Docker Hub |
labstack/pitot:2026.11.0-alpha |
that exact release, mirrored on Docker Hub |
ghcr.io/labstack/pitot:latest |
the newest release |
ghcr.io/labstack/pitot:2026.11.0-alpha |
that exact release |
ghcr.io/labstack/pitot:main |
the tip of main |
ghcr.io/labstack/pitot:sha-<commit> |
one specific commit |
See docs/release.md for platforms, checksums, provenance, and verification.
Contributing
Issues and pull requests are welcome; follow CONTRIBUTING.md and run just check
and just test-race before opening a pull request. Report security issues through
SECURITY.md.
Scope
This repository builds Pitot without another repository; LabStack's deployment configuration,
uptime monitoring, and public demo instance are not included. The documentation site in
site/ is included, with settings pages generated from the same internal/config type the
loader binds and checked by just check.
License
Apache-2.0 © LabStack LLC. See NOTICE and THIRD_PARTY_NOTICES for attribution, and TRADEMARK for use of the Pitot name and logo.
Pitot MCP Fragen
Wie verbindet sich ein MCP-Client mit Pitot?
Setze PITOT_PUBLIC_URL auf deine stabile HTTPS-Origin und verbinde einen Remote-MCP-Client mit dem /mcp-Endpoint dieser Origin; der Client registriert sich via OAuth und du autorisierst die Scopes im Browser.
Welche Telemetry-Signale akzeptiert Pitot?
Pitot nimmt OpenTelemetry traces, logs und metrics über OTLP via gRPC und HTTP auf und speichert sie lokal.
Kann ich den MCP-Endpoint in Pitot deaktivieren?
Ja, setze PITOT_MCP_ENABLED auf false; standardmäßig ist dieser auf true gesetzt und stellt den Endpoint unter /mcp bereit.
Welche MCP-Protokollversionen unterstützt Pitot?
Pitot stellt MCP 2026-07-28 sowie 2025-11-25 und 2025-06-18 über den initialize handshake via streamable HTTP bereit.
Ist Pitot ein Single-Node oder ein Cluster?
Pitot ist ein Single-Node ohne Clustering, Replikation oder eine separate Object-Storage-Ebene.