Analysez les traces, les logs et les métriques OpenTelemetry et gérez vos tableaux de bord personnels depuis un client IA.
Aussi connu sous labstack/pitot
- Étoiles
- 124
- Outils
- —
- Téléchargements, 30 jours
- —
- Dernière version
- 2026.11.7-alpha
- Dernier commit
- 14 nov. 2026
- Licence
- Apache-2.0
Qu'est-ce que Pitot MCP ?
Pitot est un serveur MCP. Analysez les traces, les logs et les métriques OpenTelemetry et gérez vos tableaux de bord personnels depuis un client IA.
Résumé généré à partir du README du projet
À propos du MCP server Pitot
Pitot permet aux développeurs gérant l'observabilité d'analyser les traces, les logs et les métriques OpenTelemetry via un client IA. Cette solution sous forme de binaire unique consolide l'ingestion, le stockage Parquet et l'analyse DuckDB en un seul processus, éliminant ainsi le besoin de services de stockage externes ou de piles distribuées complexes. Il fonctionne comme un serveur local ou distant qui accepte les données OTLP via gRPC ou HTTP.
Les utilisateurs peuvent connecter des agents externes en utilisant le MCP server pour accéder à des outils de requête typés. Pour permettre l'investigation conversationnelle, vous devez fournir une clé API Anthropic ou OpenAI lors du démarrage. Le système propose des tableaux de bord intégrés pour surveiller les taux d'erreur, la latence et le débit des services, ainsi qu'un agent d'investigation capable de traduire les données de télémétrie en langage naturel. Comme il s'agit d'un outil à nœud unique, il est conçu pour les environnements où les données restent sur votre disque local plutôt que d'être envoyées vers des fournisseurs cloud managés.
Ce que vous pouvez faire avec
- 1Requêter la télémétrie en langage naturelDemandez à un agent IA d'expliquer des schémas de télémétrie spécifiques ou de répondre à des questions sur le comportement de votre système.
- 2Surveiller la santé des services via des tableaux de bordSuivez les indicateurs de performance critiques tels que les taux d'erreur et la latence grâce à des outils visuels intégrés.
- 3Connecter des agents IA externes via MCPIntégrez vos workflows IA existants aux données de télémétrie de Pitot en utilisant le Model Context Protocol.
Extrait du README du projet. Chaque cas d'utilisation est vérifié par rapport à une citation du document.
Comment installer Pitot MCP
Pitot attribue à chaque compte son propre endpoint, il n'y a donc pas d'adresse à copier ici. Récupérez le vôtre auprès du fournisseur, placez-le à la place de la partie entre accolades, puis ajoutez-le à votre client comme serveur distant.
https://{pitot_host}/mcp
Configuration
OTEL_EXPORTER_OTLP_ENDPOINTOTEL_EXPORTER_OTLP_HEADERSOTEL_EXPORTER_OTLP_PROTOCOLPITOT_AUTH_CODE_SECRET
| Nom | Description | Type |
|---|---|---|
| OTEL_EXPORTER_OTLP_ENDPOINT | — | |
| OTEL_EXPORTER_OTLP_HEADERS | — | |
| OTEL_EXPORTER_OTLP_PROTOCOL | — | |
| PITOT_AUTH_CODE_SECRET | — |
Vérifications automatisées
Exécuté le 13 nov. 2026Rapport complet →A passé nos vérifications automatisées. Il ne s'agit pas d'un audit de sécurité : lisez le code et donnez au serveur l'accès le plus restreint dont il a besoin. Fonctionnement des vérifications
- Dépôt source lié et accessibleRéussi
- Licence open source (OSI)Réussi
- Commit ou version publiée au cours de l'année écouléeRéussi
- Nom du package non proche d'un package populaireNon vérifié
- L'endpoint distant utilise HTTPSRéussi
- Les outils destructifs sont étiquetésNon vérifié
- Aucune instruction cachée destinée au modèleRéussi
- Aucun avis critique dans le package ou ses dépendancesNon vérifié
README
Voir sur GitHubPitot
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.
Questions sur Pitot MCP
Comment un client MCP se connecte-t-il à Pitot ?
Définissez PITOT_PUBLIC_URL sur votre origine HTTPS stable, puis pointez un client MCP distant vers l'endpoint /mcp de cette origine ; le client s'enregistre via OAuth et vous autorisez les scopes dans votre navigateur.
Quels signaux de télémétrie Pitot accepte-t-il ?
Pitot ingère les traces, les logs et les métriques OpenTelemetry via OTLP en utilisant gRPC et HTTP, puis les stocke localement.
Puis-je désactiver l'endpoint MCP dans Pitot ?
Oui, réglez PITOT_MCP_ENABLED sur false ; par défaut, il est sur true et expose l'endpoint sur /mcp.
Quelles versions du protocole MCP Pitot supporte-t-il ?
Pitot propose MCP 2026-07-28 ainsi que les versions 2025-11-25 et 2025-06-18 via le handshake d'initialisation sur streamable HTTP.
Pitot est-il un nœud unique ou un cluster ?
Pitot est un nœud unique sans clustering, réplication ou couche de stockage d'objets.