Wick MCP
Related Servers
Alternatives to Wick MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceReal-time analytics dashboard for Claude Code, tracking sessions, tool usage, file changes, and token costs via an MCP server.1 npm1MIT
- AlicenseNot gradedqualityCmaintenanceA local MCP server that lets Claude answer plain-language questions about your Anthropic usage and spend across the developer API platform and Claude Enterprise products.MIT
- AlicenseNot gradedqualityAmaintenanceEnables local-first tracking of AI token usage and costs from Claude Code and OpenCode, answering queries about tokens, models, sessions, and cost through MCP tools and a CLI, with no network calls.414 npm1MIT
- AlicenseBqualityFmaintenanceTrack LLM token costs across Claude, GPT and Gemini. MCP server + CLI with optimization hints and $ savings estimates.88 npm1MIT
- FlicenseNot gradedqualityDmaintenanceA comprehensive MCP server for monitoring Claude Code sessions, agent performance, cost tracking, project management, and GitHub synchronization with 89 tools and a real-time dashboard.-
- AlicenseAqualityAmaintenanceLocal-first dashboard + MCP server that parses Claude Code and Codex JSONL files into a SQLite cost / token tracker. Per-MCP and per-tool breakdown, session drill-down, dedup by request_id; never talks to vendor APIs5100 npm1MIT
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: track records usage, status shows current session stats, reset clears the counter, export outputs data, and summary provides all-time totals. There is no ambiguity between them as the descriptions are explicitly differentiated.
All tool names follow a consistent 'wick_' prefix and use lowercase single-word names. However, the second part mixes verbs (track, reset, export) with nouns (status, summary), deviating slightly from a verb_noun pattern, but the overall style is uniform and predictable.
With 5 tools, the server is well-scoped for its purpose of token usage tracking. Each tool serves a necessary function without redundancy, and the count is within the ideal 3-15 range.
The tool set covers the full lifecycle of usage tracking: recording (track), viewing current status (status), resetting sessions (reset), exporting data (export), and summarizing all-time usage (summary). There are no obvious gaps for this domain.