타입이 지정된 쿼리 도구와 대시보드를 사용하여 AI 에이전트가 OpenTelemetry 트레이스, 메트릭, 로그를 조사할 수 있도록 지원합니다.
다른 이름 labstack/fanout
- 스타
- 120
- Tools
- —
- 다운로드, 30일
- —
- 최신 버전
- 2026.11.3
- 마지막 커밋
- 2026년 11월 14일
- 라이선스
- Apache-2.0
Pitot MCP란?
Pitot은(는) MCP server입니다. 타입이 지정된 쿼리 도구와 대시보드를 사용하여 AI 에이전트가 OpenTelemetry 트레이스, 메트릭, 로그를 조사할 수 있도록 지원합니다.
프로젝트 README에서 생성된 요약
Pitot MCP server 정보
Pitot는 외부 스토리지 서비스 없이 OpenTelemetry 트레이스, 메트릭, 로그를 관리할 수 있는 단일 바이너리 솔루션을 제공합니다. Parquet 파일을 사용하여 데이터를 로컬에 저장하고 DuckDB를 통해 분석을 수행하는 셀프 호스팅 관측성 플랫폼으로 작동합니다. 개발자는 Linux 또는 macOS에서 네이티브 바이너리로 실행하거나 Docker를 사용하여 배포할 수 있습니다. 시스템은 gRPC와 HTTP 프로토콜 모두를 통한 OTLP 수집을 처리합니다.
이 MCP server를 사용하면 외부 AI 에이전트가 타입이 지정된 쿼리 도구를 사용하여 텔레메트리 데이터와 상호작용할 수 있습니다. AI 클라이언트와 함께 사용하려면 PITOT_PUBLIC_URL 환경 변수를 통해 안정적인 HTTPS origin을 설정해야 합니다. 원격 클라이언트는 /mcp 엔드포인트를 통해 연결하며 인증을 위해 OAuth를 사용합니다. 내장된 채팅 조사 에이전트를 활성화하려면 시작 시 Anthropic 또는 OpenAI API key를 제공해야 합니다. 이 서버는 모든 텔레메트리가 로컬 디스크에 머무는 단일 노드 배포를 위해 설계되었습니다.
활용 사례
- 1AI를 활용한 텔레메트리 조사트레이스와 로그를 기반으로 시스템 문제를 일상 언어로 설명하도록 AI 에이전트에게 요청합니다.
- 2MCP를 통한 텔레메트리 쿼리표준화된 타입 지정 쿼리 도구를 사용하여 외부 AI 에이전트를 관측성 데이터에 연결합니다.
- 3서비스 상태 모니터링서비스 에러율, 지연 시간, 처리량 및 로그 볼륨을 추적하기 위한 알림을 설정합니다.
- 4관측성 시그널 중앙 집중화트레이스, 로그, 메트릭을 하나의 프로세스와 하나의 데이터 디렉토리로 통합합니다.
프로젝트의 README를 바탕으로 작성되었습니다. 모든 활용 사례는 해당 내용의 인용문과 대조하여 확인합니다.
Pitot MCP 설치 방법
Pitot는 계정마다 자체 엔드포인트를 제공하므로 여기에 복사할 주소가 없습니다. 제공업체에서 본인의 엔드포인트를 받아 중괄호 안의 부분을 대체하고, 원격 서버로 클라이언트에 추가하세요.
https://{fanout_host}/mcp
구성
OTEL_EXPORTER_OTLP_ENDPOINTOTEL_EXPORTER_OTLP_HEADERSOTEL_EXPORTER_OTLP_PROTOCOLPITOT_AUTH_CODE_SECRET
| 이름 | 설명 | 유형 |
|---|---|---|
| OTEL_EXPORTER_OTLP_ENDPOINT | — | |
| OTEL_EXPORTER_OTLP_HEADERS | — | |
| OTEL_EXPORTER_OTLP_PROTOCOL | — | |
| PITOT_AUTH_CODE_SECRET | — |
자동 검사
2026년 11월 12일에 실행됨전체 보고서 →자동 검사를 통과했습니다. 이는 보안 감사가 아닙니다. 코드를 직접 읽고 서버에 필요한 최소한의 권한만 부여하십시오. 검사 방식
- 소스 저장소 연결 및 접근 가능통과
- 오픈 소스 라이선스 (OSI)통과
- 최근 1년 내 커밋 또는 릴리스통과
- 패키지 이름이 인기 패키지와 유사하지 않음검사되지 않음
- 원격 엔드포인트가 HTTPS 사용통과
- 파괴적인 도구에 라벨 표시됨검사되지 않음
- 모델에 대한 숨겨진 지침 없음통과
- 패키지 및 해당 종속성에 중요한 보안 권고 없음검사되지 않음
README
GitHub에서 보기Pitot
Pitot (pronounced PEE-toh), formerly Fanout.
Observability your agents can operate. Send OpenTelemetry to one binary, then investigate with Pitot's built-in agent or connect your own over MCP.
Preview capture from the pre-rename alpha.
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 FanQL 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 질문
MCP 클라이언트를 Pitot에 어떻게 연결하나요?
PITOT_PUBLIC_URL을 안정적인 HTTPS origin으로 설정하고 클라이언트가 /mcp 엔드포인트를 가리키도록 합니다. 클라이언트는 discovery 및 registration을 위해 OAuth를 사용합니다.
Pitot를 사용하려면 외부 스토리지 서비스가 필요한가요?
아니요, Pitot는 외부 스토리지 서비스 없이 단일 바이너리와 하나의 데이터 디렉토리에 트레이스, 로그, 메트릭을 저장합니다.
AI를 사용하여 텔레메트리를 쿼리할 수 있나요?
네, Anthropic 또는 OpenAI와 같은 AI provider를 선택하고 필요한 API key를 제공하여 채팅 기능을 활성화할 수 있습니다.
Pitot는 어떤 수집 프로토콜을 지원하나요?
Pitot는 gRPC와 HTTP를 통한 OTLP 수집을 모두 지원합니다.