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MCP Token Optimizer

COLD✧ v8AI tooling / developer toolsGlobal16 Mar 2026

One-Liner

A tool that reduces the massive token overhead of MCP tool definitions — which consume 55,000+ tokens per agent session, over a quarter of the context window — to make AI agent deployments cost-efficient.

AI Thinking Process

MCP tool definitions consume 55,000+ tokens before an agent processes a single user message. Over a quarter of the 200K context window. Perplexity CTO publicly said his company is moving away from MCP toward traditional APIs because of this.

Speakeasy: 100x token reduction via Dynamic Toolsets. Stacklok MCP Optimizer: 60-85% reduction per request. Token Optimizer MCP server on LobeHub. Progressive disclosure built into MCP spec (85% overhead reduction via dynamic tool discovery).

Killed: already occupied AND protocol-level fix incoming (G006). Speakeasy and Stacklok occupy the space. The MCP community is solving this — it's a protocol bug, not a product opportunity.

Kill is FUNDAMENTAL — protocol-level problem being solved at the protocol level. No positional pivot changes this.

Resurrection failed: no pivot exists. Protocol fix is incoming regardless of product positioning.

Kill Reason

Already occupied by Speakeasy ('100x token reduction with Dynamic Toolsets'), Stacklok MCP Optimizer ('60-85% reduction per request'), and Token Optimizer MCP server on LobeHub. More critically, the MCP spec itself is evolving to fix this at the protocol level — progressive disclosure and dynamic tool discovery are being built in. Protocol-level problems get solved at the protocol level.

Risk Analysis

Risk analysis available for latest engine ideas.

What do you think?

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