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AgentMark plugs into AI coding agents and editors so they can author prompts, drive the full API, and debug traces without leaving your editor. It works with Claude Code, Cursor, Codex, GitHub Copilot, VS Code, Zed, and other Model Context Protocol and agentskills.io-compatible tools.

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Start in one command

npm create agentmark@latest (or agentmark init inside an existing repo) wires every method below into the editors you select: it installs the agent skill and registers the docs and gateway MCP servers. Nothing else to configure.

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Pick a method

There are three ways to connect an agent to AgentMark, plus the CLI. They all share the same gateway API, so pick the one that fits how your agent works. Most setups use several at once: the skill and docs MCP for authoring, the gateway MCP or CLI for driving the API.
The skill and docs MCP help an agent author AgentMark correctly. The gateway MCP and CLI let it drive the API (query traces, manage deployments). They compose: a typical session uses the skill for conventions, the docs MCP for authoring, and the gateway MCP or CLI to inspect results.

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Related documentation

Agent skill

Install the playbook so your agent already knows AgentMark

Docs MCP

Let your editor author files from the live docs

Gateway MCP

Drive the full AgentMark API from your editor

CLI commands

The same API from the shell, for bash-capable agents

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Have questions?

Reach out any time: