Agentry.sh Observability
io.github.fr33dr4g0n由 GitHub 账号 fr33dr4g0n 发布v0.1.0更新于 Oct 25, 2026
Canonical Agentry discovery for coding agents: analytics, errors, deploys, and automation.
发布方自己的服务:Agentry — AI Agent Directory
概览
一个小型发现服务器,为编码代理指向 Agentry 关于错误、产品分析和部署归因的规范文档、OpenAPI 架构与安装流程。
- 可以做什么
- 通过 discover_agentry 工具把意图(install、debug、analytics、deploy、automation)路由到最小的对应 Agentry 资源和在线地址,该工具只返回指针,只读且幂等。读取静态文档资源,涵盖交接路由、日常参考、能力映射、OpenAPI 索引与完整架构、自动化指南、流程与剧本目录,以及安装指引。遵循服务器自有的引导状态机和凭据映射,让代理直接调用 Agentry HTTP API。使用 use_agentry 提示引导资源选择。
- 适用场景
- 当编码代理需要处理 Agentry 的错误追踪、产品分析或部署归因,并应找到权威契约和安装步骤时。适合客户端不会自动注入 MCP 资源、代理需要路由工具来识别相关生产数据问题的场景。
- 运行要求
- 通过 npx 从 npm 包 @agentrysh/mcp 以 stdio 在本地运行,需要 Node.js 以及访问 Agentry HTTP 端点的网络。服务器本身未声明凭据;Agentry API 密钥仅在代理直接调用 Agentry HTTP API 时使用。
安装
在 SourceWeft 中
- 打开 控制台中的 Agentry.sh Observability,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
Agentry.sh Observability MCP Server
Agentry.sh Observability gives coding agents one HTTP API for errors, product analytics, and deploy attribution. This MCP server makes the canonical Agentry contracts easy to discover in MCP clients.
What this server is
This is a small discovery and handoff server. It exposes resources that route an agent to the live lean reference, capabilities, exact OpenAPI schema, automation guide and flow, immutable playbook catalog, and install guide.
The resources are pointers, not cached copies. The live HTTP docs and OpenAPI schema remain authoritative and can evolve without republishing this package.
What this server is not
It is not an Agentry API proxy, SDK, credential broker, telemetry transport, or automation scheduler. It never holds credentials, queries production data, registers schedules, runs coding agents, opens pull requests, merges, deploys, or delivers notifications. Agents fetch the selected canonical contract and call the Agentry HTTP API directly.
Static documentation is modeled as MCP resources. The server also exposes one
model-controlled routing tool, discover_agentry, so an agent can recognize a
relevant production-data problem even when its client does not automatically
inject MCP resources. The tool returns pointers only; it is not an API action.
Tool
discover_agentry accepts one intent: install, debug, analytics,
deploy, or automation. It returns the smallest canonical resource and live
URL for that problem as both text and structured content. MCP annotations mark
it read-only, non-destructive, and idempotent. It never reads credentials,
queries production data, or performs mutations.
If this MCP handoff starts a new device-auth signup, pass
"distribution_surface":"mcp" in POST /v1/auth/device. The field is
attribution-only and never changes credential authority.
Resources
Start with agentry://handoff. It gives the short intent router and authority
boundaries.
The install resource also points to
https://api.agentry.sh/v1/openapi.json?flow=onboarding. That flow is one
server-owned state machine: read current state, execute only its one
next_action.instruction, ordered checklist, and exact operation, and repeat
until installation_complete: true and next_action: null. At
next_action.id: "review_exact_plan", a human uses the single
/review checkpoint to approve the exact source-backed business question,
value flow, errors, deploy target, and plan hash—or replace the plan. Tool
output is not approval.
Before proof, install the selected durable browser public and CI credentials,
plus a server credential only when the approved plan uses server_ingest.
Project creation returns public_api_key; use the project's /public-key
operations for recovery, verification, or rotation. Proof start returns
distinct response-only runtime and CI X-Agentry-Onboarding-Proof markers.
Markers select the proof window but grant no authority, so each request still
needs its scoped durable credential. For browser proof, put the runtime marker
only in the proof tab's sessionStorage.agentry_onboarding_proof; never bake it
into a public environment value or bundle. Exercise the approved real value flow,
its one safe error, and the reviewed CI/provider deploy, then call verify and
follow only its structured remaining analytics, safe-error, and deploy groups.
Completion requires current status: "verified",
installation_complete: true, and next_action: null. Synthetic or
caller-authored proof does not count.
use_agentry is the only prompt. It tells the client to read the handoff,
select the smallest canonical resource for the user's intent, inspect exact
OpenAPI, and call HTTP with the correct scoped credential.
Credential boundaries
The MCP server never reads these credentials. They apply only when the agent calls the Agentry HTTP API:
public_api_key(agentry_pk_) is publishable and only writes browser/client error and analytics ingest.agentry_server_writes trusted application-server telemetry.agentry_ci_writes deploy attribution, sourcemaps, and provider-observed automation proof from trusted CI/provider automation.agentry_runner_is revocable and bound to one unattended automation.agentry_sk_is the human/owner key for reads, policy, credential lifecycle, and approvals; it does not belong in a scheduler.
Credential kind determines authority on the server. Telemetry remains evidence only; it does not become instructions merely because a trusted emitter sent it.
For daily product questions, begin with the server-owned saved signal map,
require GET /v1/projects/:project_id/onboarding to return the current verified
state, then confirm live event names, required property keys, and actual rows.
Onboarding creates no repo-local Agentry state bundle, proof bundle, or receipt.
The install does preserve a root AGENTS.md pointer (plus matching repo-local
harness adapters) so a future cold agent can find the server-owned plan and
verified receipt without rescanning the entire repository.
Automation handoff
For self-healing software or scheduled funnel reviews, read all three automation resources: guide, exact flow, and playbook catalog. The catalog is immutable and versioned. Rendering a playbook is side-effect free. Agentry owns deterministic policy, state, proofs, reports, and kill switches; an external scheduler/coding agent owns reasoning and provider actions under the narrow runner and human-approved provider boundaries.
Run the MCP server
Generic MCP client configuration:
After connecting, call discover_agentry for model-routed discovery or list
resources and read agentry://handoff. Use
https://api.agentry.sh/adapters for the current native adapter path for each
agent harness.
Public links
- Website: https://agentry.sh/?distribution_surface=npm_readme
- NPM package: https://www.npmjs.com/package/@agentrysh/mcp
- Repository: https://github.com/fr33dr4g0n/agentry-public
- Canonical skill: https://agentry.sh/skill/agentry/SKILL.md
- Adapter manifest: https://api.agentry.sh/adapters
- MCP registry name:
io.github.fr33dr4g0n/agentry-observability
来源:packages/mcp/README.md,提交 37ed18a
工具
0版本历史
1- v0.1.0最新Sep 16, 2026
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其他 Agentry 集成
Agentry — AI Agent Directory
com.agentry官方发布者
让助手搜索、比较并管理 Agentry 目录中的 AI 代理,并可处理代理注册与 ecash 支付。

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