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Agentry.sh Observability

Agentry.sh Observability

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agentry.shData & Analytics2Updated 15w ago

About Agentry.sh Observability

Agentry.sh Observability is a discovery and handoff MCP server for coding agents working with Agentry's errors, analytics, deploys, and automation. It provides pointers to live reference materials and schemas rather than proxying API calls or handling credentials.

Key features

  1. 01Intent-based contract discovery
  2. 02Canonical documentation resources
  3. 03OpenAPI schema pointers
  4. 04Automation guides and playbooks
  5. 05Read-only routing tool

Use cases

  1. 01Find Agentry API details for debugging errors
  2. 02Locate analytics and deploy contracts
  3. 03Discover automation workflows and playbooks

MCP support

The server exposes documentation and schema pointers as MCP resources, plus the `discover_agentry` routing tool. Agents use the returned canonical references to call the Agentry HTTP API directly; the server does not proxy requests or handle credentials.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"fr33dr4g0n-agentry-observability": {
"command": "npx",
"args": [
"-y",
"@agentrysh/mcp"
]
}
}
}
Run commandnpx -y @agentrysh/mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@agentrysh/mcp0.1.0

Tools

1

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
intentenumYesThe user's production-context problem.install | debug | analytics | deploy | automation

Details

From the project README

Agentry.sh Observability MCP Server

Agentry

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.

ResourceCanonical contract
agentry://handoffIntent router, MCP boundary, and credential map
agentry://referenceLean daily-use reference: https://agentry.sh/agentry.md
agentry://capabilitiesMachine capability map: https://api.agentry.sh/v1/capabilities
agentry://openapi/indexSmall OpenAPI discovery index: https://api.agentry.sh/v1/openapi.json?index=true
agentry://openapiComplete exact OpenAPI 3.1 schema: https://api.agentry.sh/v1/openapi.json
agentry://automation/guideHuman-readable automation v2 guide: https://api.agentry.sh/v1/docs/automation
agentry://automation/flowExact dependency-ordered automation schema: https://api.agentry.sh/v1/openapi.json?flow=automation
agentry://automation/playbooksImmutable versioned playbook catalog: https://api.agentry.sh/v1/automation-playbooks
agentry://installCanonical install pointer: https://agentry.sh/install.md

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

npx -y @agentrysh/mcp

Generic MCP client configuration:

{
  "mcpServers": {
    "agentry": {
      "command": "npx",
      "args": ["-y", "@agentrysh/mcp"]
    }
  }
}

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

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