context-usage-mcp
Related Servers
Alternatives to context-usage-mcp
No user-submitted related servers found.
Related Servers
- FlicenseBqualityNot gradedmaintenanceProvides comprehensive telemetry and usage analytics for Claude Code sessions, including token usage tracking, cost monitoring, and tool usage patterns. Enables users to monitor their Claude usage with detailed metrics, warnings, and trend analysis.12-
- AlicenseNot gradedqualityCmaintenanceSurface Claude Code token usage, estimated cost, and plan-limit status in any MCP client. Enables agents to query usage data from local logs and Anthropic API.MIT
- AlicenseBqualityBmaintenanceLets a coding agent inspect its own run efficiency mid-session from local Claude Code transcripts, exposing the share of paid tokens that became model output versus context re-reading. Ships two stdio tools — one returning the shares as structured data and one returning the full cost-weighted report — with no network calls.252 PyPIMIT
- FlicenseNot gradedqualityNot gradedmaintenanceProvides intelligent analysis of token usage patterns and optimization recommendations to improve efficiency and reduce costs in Claude Code sessions. Offers real-time analysis, cost metrics, and actionable insights for better context window and tool usage optimization.3 npm-
- AlicenseBqualityDmaintenanceProvides intelligent context management for AI development sessions, allowing users to track token usage, manage conversation context, and seamlessly restore context when reaching token limits.86 npm2Apache 2.0
- AlicenseNot gradedqualityDmaintenanceClaude Code token usage and cost visibility for MCP-capable agents.41 npmMIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or misselection. The tool's purpose is clearly defined and distinct by default.
The single tool name 'get_context_usage' follows a clear verb_noun pattern. Consistency is trivially maintained as there are no other tools to contrast with.
The server has only one tool, which feels thin for a typical server but is arguably sufficient for its narrow purpose. It is not trivial, but the count is on the lower end of the acceptable range.
The tool covers the core raw token usage reporting, but it explicitly lacks percentage or context-window detection, leaving a notable gap for users who need derived insights. The domain is narrowly focused, but the surface is somewhat incomplete.