Fanout

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Investigate OpenTelemetry traces, metrics, and logs, and manage personal dashboards.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code
claude mcp add --transport http fanout 'https://{fanout_host}/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "fanout": {
            "type": "http",
            "url": "https://{fanout_host}/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Fanout
  2. Quick start
  3. How it compares
  4. Architecture
  5. Configuration
  6. Performance
  7. Build from source
  8. Development
  9. Releases
  10. Contributing
  11. Scope
  12. License

Fanout

Single-binary, agent-native OpenTelemetry investigation.

Fanout keeps OpenTelemetry traces, logs, and metrics in one binary and one data directory, with no external storage services to operate. Fanout 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.
  • 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 fanout -p 7520:7520 \
  -v fanout-data:/var/lib/fanout/data \
  -e FANOUT_AUTH_CODE_SECRET=$(openssl rand -hex 32) \
  labstack/fanout:latest

Open the one-time setup URL printed by the container and create the first administrator. Fanout displays the ingest token exactly once; 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 fanout fanout 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/fanout/main/scripts/install.sh | sh
export FANOUT_AUTH_CODE_SECRET=$(openssl rand -hex 32)
fanout

Set FANOUT_VERSION=v2026.10.1-alpha to pin a release and FANOUT_PREFIX to choose the installation directory. Native installs bind 127.0.0.1:7520; set FANOUT_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/fanout:
    endpoint: http://fanout:7520
    headers:
      Authorization: "Bearer ${env:INGEST_TOKEN}"

service:
  pipelines:
    traces:  { receivers: [otlp], exporters: [otlp_http/fanout] }
    metrics: { receivers: [otlp], exporters: [otlp_http/fanout] }
    logs:    { receivers: [otlp], exporters: [otlp_http/fanout] }

Use an existing otlp receiver, set INGEST_TOKEN, and replace fanout 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 FANOUT_AI_PROVIDER=anthropic and inject ANTHROPIC_API_KEY, or select FANOUT_AI_PROVIDER=openai and inject OPENAI_API_KEY, then restart Fanout; 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 FANOUT_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. The client must support MCP protocol 2026-07-28 over stateless Streamable HTTP; older versions and the initialize handshake are unsupported. See connect over MCP for setup and permissions.

How it compares

If you useWhere Fanout differs
Grafana with Loki, Tempo, and MimirThat stack keeps a service and a query language per signal, plus object storage underneath. Fanout 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.
SigNozBoth are OTLP-native and self-hosted. SigNoz composes a collector, ClickHouse, and query services; Fanout compiles ingest, authoritative Parquet storage, indexed trace reads, DuckDB analytics, alerting, and the browser client into one binary.
JaegerJaeger covers traces and expects a storage backend you run separately. Fanout ingests traces, logs, and metrics into the same store, with nothing else to deploy.
Prometheus with GrafanaPrometheus pulls metrics and is excellent at them. Fanout 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 CloudThose are managed services: someone else runs the storage, the scaling, and the upgrades, and your telemetry leaves your network to get there. Fanout is a binary you run, on data that stays on your disk.
An OpenTelemetry Collector piped into ClickHouseThe same shape, assembled by hand: collector, database, dashboards, and the glue between them. Fanout is that assembly as one program, with an agent and an MCP server already wired to the same query contract.

Fanout 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 Fanout.

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 variableDefaultPurpose
FANOUT_ADDR127.0.0.1:7520UI, API, MCP, and both OTLP transports
FANOUT_DATA_DIR./dataParquet, query state, and control SQLite
FANOUT_AUTH_MODElocalLogin link or SMTP, or oidc
FANOUT_AUTH_CODE_SECRET—Required in local mode, 32+ characters
FANOUT_AI_PROVIDER—Empty disables chat; anthropic or openai enables it
ANTHROPIC_API_KEY—Required for Anthropic chat
OPENAI_API_KEY—Required for OpenAI chat
FANOUT_RETENTION_DAYS30Telemetry retention window
FANOUT_MCP_ENABLEDtrueServe 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

Fanout 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

Fanout v2026.10.8-alpha accepted 415,859 mixed OpenTelemetry items/s over 303.5 seconds on a Hetzner Cloud ccx33 (8 dedicated vCPUs, 32 GB RAM), with telemetrygen on a separate ccx33. The ingest run on 16 October 2026 passed every quality gate. See the performance methodology. Fanout 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 build or bash scripts/with-duckdb.sh go build ./cmd/fanout; 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/fanout.git
cd fanout
just install   # browser dependencies and git hooks
just build     # browser assets, then the binary

Run it with the minimum configuration:

export FANOUT_AUTH_CODE_SECRET=$(openssl rand -hex 32) # must be 32+ characters

./bin/fanout

Open http://localhost:7520 and follow first-boot setup. SMTP and chat are optional; without SMTP, run ./bin/fanout 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. Fanout is alpha (for example, v2026.10.1-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/fanout) and GHCR (ghcr.io/labstack/fanout); GHCR is canonical and also carries development images.

Image tagPoints at
labstack/fanout:latestthe newest release, mirrored on Docker Hub
labstack/fanout:2026.10.1-alphathat exact release, mirrored on Docker Hub
ghcr.io/labstack/fanout:latestthe newest release
ghcr.io/labstack/fanout:2026.10.1-alphathat exact release
ghcr.io/labstack/fanout:mainthe tip of main
ghcr.io/labstack/fanout: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 Fanout 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 Fanout name and logo.

Frequently asked questions

What is Fanout?

Investigate OpenTelemetry traces, metrics, and logs, and manage personal dashboards.

How do I install Fanout?

It runs as a remote server. In Claude Code: claude mcp add --transport http fanout 'https://{fanout_host}/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Fanout need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Fanout open source?

Yes. Its code is on GitHub under the Apache-2.0 license.

Who maintains Fanout?

It is published by labstack. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.