An MCP server that intercepts file, directory, grep, diagnostics, and symbol-read tool calls from coding agents and filters framework-generated noise before sending context to the model. It supports automatic ignore rules for detected project types and can reduce token usage by narrowing reads and searches.
From the registry: MCP server that cuts AI coding agent token usage via framework-aware context optimization
$ npm install -g @ai-optimizer/corePlease install the `ai-optimizer` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install AI Token Optimizer** — Install the MCP server package globally via npm so the `ai-optimizer` command is available. Run: `npm install -g @ai-optimizer/core`
Canonical MCP server config (stdio transport):
- command: `ai-optimizer`
- args: []
Note: The README explicitly says to point the agent at the `ai-optimizer` stdio server. It also mentions `npx @ai-optimizer/init` as an optional helper to scaffold client config and preview savings, but that is not the MCP server command itself. No required environment variables are documented in this README.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.