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Optimize Claude Code token usage to cut costs and improve development efficiency.
Based on the available materials, this MCP tool is an open-source GitHub project with no required secrets and no declared remote endpoints, and no clear high-risk red flags are evident. The main caution is its local code-execution capability, along with limited public documentation and unknown maintenance status, so it should be used in a least-privilege environment.
The materials explicitly state that no keys or environment variables are required. No API keys, OAuth tokens, or other sensitive credentials are requested, so credential exposure and misuse risk appears low.
The materials state that there are no remote endpoint hosts, and they do not describe sending user data to third-party services. Based on the available facts, no explicit data egress path is identified.
The objective checks mark this tool as 'executes-code', indicating it can execute code or processes locally. This is a normal high-privilege characteristic for MCP tools and warrants a constrained runtime environment, but by itself it is not enough to classify as high risk.
The description only says it performs token optimization for Claude Code and does not clearly specify file read/write scope. Given its code-execution capability, it may reasonably access local inputs or context data, but the materials do not show excessive permissions beyond its stated purpose.
Positive factors include a public GitHub repository, an MIT license, and about 405 stars, which provide some community trust and source auditability. However, the lack of a README and unknown maintenance status limit visibility into implementation details and dependency exposure, so caution is appropriate rather than a high-risk rating.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "token-optimizer-mcp" yet — see the docs or source repo.
Use token-optimizer-mcp to analyze my current Claude Code session, identify cacheable content, repeated context, and compressible tool calls, then produce an optimized context plan that minimizes token usage without hurting code quality.
A token optimization plan showing what can be cached, compressed, or removed, with estimated savings.
Use token-optimizer-mcp to inspect the tool call sequence in this Claude Code workflow, find high-token-cost steps, rewrite it into a more context-efficient execution plan, and explain why.
A streamlined tool-calling workflow with fewer redundant steps, plus optimization rationale and estimated savings.
Use token-optimizer-mcp to assess token costs for typical Claude Code tasks in this project, including code generation, refactoring, debugging, and testing, then suggest practical cost-reduction strategies.
A token cost analysis for each task type, plus project-specific recommendations for caching, compression, and context management.
Monitor Claude usage live, predict limits, and control costly AI coding actions.
Route lightweight text tasks to cheaper models and save main-model tokens.
Optimize AI coding context to reduce tokens and improve development efficiency.
Track Claude Code and Codex token usage with per-tool MCP breakdowns.
Read Tokens Studio tokens from Figma for design-aware code generation.
Query Claude Code transcript analytics for cost, safety, audit, and efficiency insights.