mcp-cost-optimizer
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Alternatives to mcp-cost-optimizer
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Related Servers
- AlicenseAqualityBmaintenanceA local-first, multi-provider cost meter for LLM usage, exposed as MCP tools. Captures every call into a local SQLite ledger and lets any coding agent query spend, compare providers, and get recommendations — no cloud, no account. First-class support for Chinese providers (Qwen, DeepSeek) alongside Anthropic and OpenAI.76MIT
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- AlicenseAqualityBmaintenanceScan codebases for LLM API calls and estimate monthly costs. Compare costs between git refs to catch cost regressions during code review.24MIT
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- AlicenseAqualityAmaintenanceLLM pricing for coding agents: every price carries its source and the date it was last confirmed, and disputed prices are flagged. Looks up model rates, costs a described workload, and finds cheaper models that score at or above a given one. Local, no API key.31MIT
- AlicenseAqualityBmaintenanceLocal-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 APIs5130 npm1MIT
TDQS
Scored across 3 tools
Each tool targets a different scope: single-request estimation, aggregate usage analysis, and model comparison. They all relate to cost, but the descriptions make the boundaries clear enough for an agent to select correctly.
All three names follow the same verb_llm_noun pattern: estimate_llm_cost, analyze_llm_usage, compare_llm_models. The convention is predictable and consistent.
Three tools are well-scoped for a narrow cost-analysis server, and each serves a distinct purpose. No unnecessary tools are present.
The surface covers estimation, usage analysis, and model comparison, but an optimizer would benefit from a recommendation or pricing-catalog operation. As named, it analyzes costs rather than completing an optimization lifecycle.