Two audiences. (A) MCP DEVELOPER — write an MCP server, lifecycle hooks (12 normalized events + a native-event passthrough), slash commands, Agent Skills, subagents, or standing AGENTS.md guidance (memory) ONCE with defineConnector({...}), then install/sync/uninstall them across every detected AI-agent CLI (Claude Code, Codex, Cursor, Copilot, Gemini, OpenCode, Warp, and more — 32 registered deploy adapters) in each host's native config dialect, with default local-first per-tool token telemetry for YOUR OWN wrapped stdio server. (B) AGENT-CLI END USER — with NO connector at all, run agent-connector usage to see per-CLI / per-model token totals scanned read-only from each agent CLI's own session logs. Use this when a developer wants one integration to reach many agent hosts and to see which of their own server's tools cost the most context, OR when any agent-CLI user wants whole-conversation token totals per CLI/model with zero setup.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
Two audiences. (A) MCP DEVELOPER — write an MCP server, lifecycle hooks (12 normalized events + a native-event passthrough), slash commands, Agent Skills, subagents, or standing AGENTS.md guidance (memory) ONCE with defineConnector({...}), then install/sync/uninstall them across every detected AI-agent CLI (Claude Code, Codex, Cursor, Copilot, Gemini, OpenCode, Warp, and more — 32 registered deploy adapters) in each host's native config dialect, with default local-first per-tool token telemetry for YOUR OWN wrapped stdio server. (B) AGENT-CLI END USER — with NO connector at all, run agent-connector usage to see per-CLI / per-model token totals scanned read-only from each agent CLI's own session logs. Use this when a developer wants one integration to reach many agent hosts and to see which of their own server's tools cost the most context, OR when any agent-CLI user wants whole-conversation token totals per CLI/model with zero setup.
Quick start
Copy the install prompt. Use the green button above this README.
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Two audiences. (A) MCP DEVELOPER — write an MCP server, lifecycle hooks (12 normalized events + a native-event passthrough), slash commands, Agent Skills, subagents, or standing AGENTS.md guidance (memory) ONCE with defineConnector({...}), then install/sync/uninstall them across every detected AI-agent CLI (Claude Code, Codex, Cursor, Copilot, Gemini, OpenCode, Warp, and more — 32 registered deploy adapters) in each host's native config dialect, with default local-first per-tool token telemetry for YOUR OWN wrapped stdio server. (B) AGENT-CLI END USER — with NO connector at all, run `agent-connector usage` to see per-CLI / per-model token totals scanned read-only from each agent CLI's own session logs. Use this when a developer wants one integration to reach many agent hosts and to see which of their own server's tools cost the most context, OR when any agent-CLI user wants whole-conversation token totals per CLI/model with zero setup.
About this listing
Category
General
Reported license
Apache-2.0
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI