Shrink MCP schema overhead in DeepSeek Harness: 1,000 remote tools behind 2 exact-schema interfaces, plus a local calculator and CI budget Action.
Shrink large MCP catalogs to a two-tool model surface.
MCP Lens lets DeepSeek Harness search and call 1,000 remote tools through two stable model-facing interfaces. Instead of sending every tool schema on every turn, it reveals exact schemas only for a small ranked set when a tool is actually needed.
- Spend less on input-heavy turns: in the dated three-task pilot, estimated DeepSeek V4 Flash cost fell from $0.0307204 to $0.0034707. - Keep more room for the real task: the same pilot reduced request/header.tools JSON from 674,249 B to 27,401 B. - Retrieve more relevant covered calls: on a frozen MCP-Atlas-derived convenience holdout, Recall@5 rose from 0.062610 to 0.246656 across 304 untouched prompts. This is lexical retrieval evidence, not an official MCP-Atlas or end-to-end score. - Narrow the tool-choice surface: search reveals only a small ranked set of exact schemas, and the final server/tool is still gated by allowTools and denyTools. - Preserve completion in the tested pilot: both arms completed 3/3 tasks, while Lens used one extra search step.
Use MCP Lens if you have dozens to thousands of MCP tools, multiple servers, or long-tail tools that are expensive to advertise on every turn. Skip it if you have only a handful of tools that are used almost every request.
Prerequisites: DeepSeek Harness 0.1.0-rc.6, Node.js ^22.19.0 or =24.0.0, and pnpm on PATH. The dsh plugin command delegates installation to pnpm.
From the project README.
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