Agentry MCP Server

Agentry MCP Server

Provides agent-native analytics and logging for coding agents, enabling product analytics, error logging, and deploy attribution through an MCP handoff.

Category
访问服务器

README

Agentry for AI Coding Agents

<p> <a href="https://agentry.sh"> <img src="https://agentry.sh/brand/agentry-lockup-light.svg" alt="Agentry" width="248"> </a> </p>

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.

What Agentry Covers

  • Product analytics for user, funnel, activation, retention, and business events.
  • Error logging for exceptions, failed jobs, operational failures, and case context.
  • Deploy attribution that connects production behavior to releases and code changes.
  • Agent-led install from the actual codebase, with verification before the setup is called complete.

What This Repository Contains

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.
  • plugins/agentry - shared Claude Code and Codex plugin containing the canonical Agentry skill.
  • .claude-plugin/marketplace.json - Claude Code marketplace catalog.
  • .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.

Supported Agent Surfaces

Agentry is distributed as a skill, MCP handoff, OpenAPI Action schema, and repo-local instruction adapters for the agent surfaces developers already use:

  • Codex and Claude Code.
  • Cursor, VS Code with GitHub Copilot, Visual Studio with GitHub Copilot, and GitHub Copilot coding agent.
  • Devin Desktop/Windsurf Cascade, Cline, Roo Code, Continue, Zed, Gemini CLI, Aider, and OpenCode.
  • ChatGPT custom GPT Actions, generic MCP clients, and AGENTS.md-aware agents.
  • AGENTS.md-compatible agents such as Jules, Factory, Amp, goose, Warp, JetBrains Junie, Augment Code, Kilo Code, Phoenix, Semgrep, Ona, and UiPath coded agents.

The adapter manifest is the canonical place to discover the current native file path for each client: https://api.agentry.sh/adapters.

Canonical Docs

  • Install: https://agentry.sh/install.md
  • Skill: https://agentry.sh/skill/agentry/SKILL.md
  • Daily use: https://agentry.sh/agentry.md
  • API discovery: https://api.agentry.sh/
  • OpenAPI: https://api.agentry.sh/v1/openapi.json

Public Links

  • Website: https://agentry.sh/
  • NPM package: https://www.npmjs.com/package/@agentrysh/mcp
  • MCP repository: https://github.com/fr33dr4g0n/agentry-public
  • Skill repository: https://github.com/fr33dr4g0n/agentry-skill
  • Live skill: https://agentry.sh/skill/agentry/SKILL.md
  • Adapter manifest: https://api.agentry.sh/adapters
  • Codex marketplace catalog: https://github.com/fr33dr4g0n/agentry-public/blob/main/.agents/plugins/marketplace.json
  • Claude marketplace catalog: https://github.com/fr33dr4g0n/agentry-public/blob/main/.claude-plugin/marketplace.json
  • MCP registry name: io.github.fr33dr4g0n/agentry-observability

MCP Server

npx -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.

Claude Code Skill

mkdir -p ~/.claude/skills/agentry
curl -fsSL https://agentry.sh/skill/agentry/SKILL.md > ~/.claude/skills/agentry/SKILL.md

The plugin in plugins/agentry bundles the same skill for Claude Code plugin marketplace installs.

Codex Plugin

Agentry is distributed to Codex as a Git-backed marketplace source. It will not appear in global Codex plugin search for unrelated accounts until they add this marketplace source, receive a workspace share, or OpenAI curates it.

codex plugin marketplace add fr33dr4g0n/agentry-public
codex plugin add agentry@agentry

Then open Codex Plugins and switch to the agentry marketplace source if you want to browse it visually.

The plugin in plugins/agentry bundles the same skill for Codex plugin marketplace installs and includes Agentry logo metadata for Codex plugin cards.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选