Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"agentry": {
"args": [
"-y",
"@agentrysh/mcp"
],
"command": "npx"
}
}
}Are you the author?
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Agentry is agent-native analytics and logging for coding agents. It covers product analytics, error logging, and deploy attribution through one HTTP API so agents can answer what users did, what broke, and what changed.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@agentrysh/mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked @agentrysh/mcp against OSV.dev.
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Agentry is agent-native analytics and logging for coding agents. It covers product analytics, error logging, and deploy attribution through one HTTP API so agents can answer what users did, what broke, and what changed.
This repository contains public discovery surfaces for Agentry across MCP, Claude Code, Codex, and agent IDE adapter ecosystems.
packages/mcp - MCP server that returns the canonical Agentry skill handoff.plugin/agentry - Claude Code plugin containing the Agentry skill..claude-plugin/marketplace.json - Claude Code marketplace catalog.plugins/agentry - Codex plugin containing the Agentry skill and branding..agents/plugins/marketplace.json - Codex plugin marketplace catalog.https://api.agentry.sh/adapters - live adapter manifest for repo-local
instruction files used by AI coding IDEs and agent CLIs.The MCP server and skill do not proxy the Agentry API, ingest telemetry, or replace the live docs. Runtime apps write directly to Agentry's HTTP API.
Agentry is distributed as a skill, MCP handoff, OpenAPI Action schema, and repo-local instruction adapters for the agent surfaces developers already use:
The adapter manifest is the canonical place to discover the current native file path for each client: https://api.agentry.sh/adapters.
io.github.fr33dr4g0n/agentry-observabilitynpx -y @agentrysh/mcp
MCP client config:
{
"mcpServers": {
"agentry": {
"command": "npx",
"args": ["-y", "@agentrysh/mcp"]
}
}
}
The MCP surface is relevant when a user asks an AI coding agent to add analytics, logging, error monitoring, deploy tracking, product telemetry, production debugging, or an agent-readable observability layer.
mkdir -p ~/.claude/skills/agentry
curl -fsSL https://agentry.sh/skill/agentry/SKILL.md > ~/.claude/skills/agentry/SKILL.md
The plugin in plugin/agentry bundles the same skill for Claude Code plugin
marketplace installs.
Agentry is distributed to C