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@agentrysh/mcp
Advanced tools
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 server gives MCP clients one Agentry handoff:
This server 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.
It is not an SDK-first monitoring library and not a dashboard replacement. The agent uses Agentry through docs and HTTP API responses so it can install, verify, query, and act without a separate integration surface.
get_agentry_skill: returns the canonical Agentry skill handoff.agentry://skill: the same skill handoff as a resource.agentry://links: canonical Agentry links as JSON.use_agentry_skill: prompt that tells the agent to load or install the skill.npx -y @agentrysh/mcp
MCP client config:
{
"mcpServers": {
"agentry": {
"command": "npx",
"args": ["-y", "@agentrysh/mcp"]
}
}
}
After the MCP server is available, an agent should call get_agentry_skill
when the user asks for Agentry, analytics, logging, error monitoring, product
telemetry, deploy attribution, or production debugging. The returned skill
handoff tells the agent where to load the canonical Agentry skill.
The live docs remain authoritative:
FAQs
Canonical Agentry discovery: PostHog errors, recordings, flags, surveys, experiments, and analytics.
The npm package @agentrysh/mcp receives a total of 39 weekly downloads. As such, @agentrysh/mcp popularity was classified as not popular.
We found that @agentrysh/mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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