Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Investigate OpenTelemetry traces, metrics, and logs, and manage personal dashboards.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://{fanout_host}/mcp地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。
在终端中运行这条命令
claude mcp add --transport http fanout 'https://{fanout_host}/mcp'地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"fanout": {
"url": "https://{fanout_host}/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"fanout": {
"type": "http",
"url": "https://{fanout_host}/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://{fanout_host}/mcp地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。
菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
这个地址需要填入你自己的值,所以我们无法替你读取工具列表。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 labstack 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
这个地址需要填入你自己的账户信息,所以我们无法替你检查
这个地址需要填入你自己的账户信息,所以我们无法替你检查
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(2026.11.0-alpha)于昨天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, AI Deprecations
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Observability your agents can operate. Send OpenTelemetry to one binary, then investigate with Fanout's built-in agent or connect your own over MCP.
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.
docker run --name fanout --restart unless-stopped -p 7520:7520 \
-v fanout-data:/var/lib/fanout/data \ -e FANOUT_AUTH_CODE_SECRET=$(openssl rand -hex 32) \ labstack/fanout:latest
Open the one-time setup URL printed by the container and create the first administrator. Fanout displays the ingest token exactly once; save it with your collector secrets. For later sign-in without SMTP, mint a 15-minute, single-use link against the running container's control database:
docker exec fanout fanout login-link admin@example.com
The UI, API, MCP, and both OTLP transports share port 7520. See installation for image defaults and bind-mount ownership, and first boot for setup and SMTP login.
Install a checksum-verified release for Linux or macOS, amd64 or arm64:
curl -fsSL https://raw.githubusercontent.com/labstack/fanout/main/scripts/install.sh | sh
export FANOUT_AUTH_CODE_SECRET=$(openssl rand -hex 32) fanout
Set FANOUT_VERSION to a release tag, such as v2026.10.23-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.
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.
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.
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. Fanout 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.
| If you use | Where Fanout differs |
|---|---|
| Grafana with Loki, Tempo, and Mimir | That 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. |
| SigNoz | Both 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. |
| Jaeger | Jaeger 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 Grafana | Prometheus 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 Cloud | Those 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 ClickHouse | The 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.
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 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 |
|---|---|---|
FANOUT_ADDR | 127.0.0.1:7520 | UI, API, MCP, and both OTLP transports |
FANOUT_DATA_DIR | ./data | Parquet, query state, and control SQLite |
FANOUT_AUTH_MODE | local | Login 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_DAYS | 30 | Telemetry retention window |
FANOUT_MCP_ENABLED | true | Serve the MCP endpoint at /mcp |
Every secret accepts _FILE instead of its value; see the settings reference for validation and runtime secret delivery for deployment examples.
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.
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.
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.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.
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.
Versions are CalVer — vYYYY.M.N[-alpha|-beta|-rc], numbered from 0 within each month across all maturity suffixes. Fanout is alpha (for example, v2026.10.23-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 tag | Points at |
|---|---|
labstack/fanout:latest | the newest release, mirrored on Docker Hub |
labstack/fanout:2026.10.23-alpha | that exact release, mirrored on Docker Hub |
ghcr.io/labstack/fanout:latest | the newest release |
ghcr.io/labstack/fanout:2026.10.23-alpha | that exact release |
ghcr.io/labstack/fanout:main | the tip of main |
ghcr.io/labstack/fanout:sha- | one specific commit |
See docs/release.md for platforms, checksums, provenance, and verification.
只显示了开头部分;其余内容请在仓库中阅读