Apitaco MCP Server
OfficialRelated Servers
Alternatives to Apitaco MCP Server
No user-submitted related servers found.
Related Servers
- 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
- AlicenseAqualityBmaintenanceToken-cost telemetry for OpenClaw, queryable from Claude or any MCP-aware agent. Provides per-agent and per-provider cost attribution, anomaly detection, model-routing recommendations, and 30-day forecasts.7MIT
- AlicenseAqualityBmaintenanceConnects MCP clients such as Claude Desktop, Cursor, and VS Code to 19 hosted AI models, providing tools for listing models, checking account balance, running chat completions, and generating client setup guides.4MIT
- AlicenseNot gradedqualityAmaintenanceEnables Claude Code sessions to check account rate-limit headroom, local token spend, and live session status, with read-only MCP tools for limits, summaries, token usage, and session listing.2MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents such as Claude Code, Cursor, Codex, and OpenCode to query local token usage, costs, quotas, projects, and models through six strictly read-only tools. All data stays on the local machine, drawn from passively parsed session logs rather than uploaded telemetry.MIT
- AlicenseNot gradedqualityDmaintenanceEnables Claude to read your Patch API budget usage, including spend, burn rate, and account details, directly from chat.MIT
TDQS
Scored across 3 tools
Each tool targets a distinct resource and action: balance, usage stats, and available models. There is no overlap in purpose, and an agent can easily select the correct tool based on the user's request.
All tools follow a consistent pattern: apitaco_ prefix plus a clear verb_noun structure (get_balance, get_usage, list_models). The convention is predictable and readable.
Three tools is appropriate for a focused account-information server. Each tool earns its place by covering a distinct read-only query without unnecessary surface area.
The surface covers the core account queries: balance, usage, and model pricing. Minor gaps like detailed historical usage breakdowns or account settings exist, but agents can work around them for the stated purpose.