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labmimors/dsh-mcp-lens

Shrink MCP schema overhead in DeepSeek Harness: 1,000 remote tools behind 2 exact-schema interfaces, plus a local calculator and CI budget Action.

⭐ 4 stars
⑂ 0 forks
TypeScript
momentum ▲ 40.0
created 2026-08-14
on radar since 2026-08-15
ai-agentsai-toolingcontext-engineeringcontext-optimizationcontext-reductioncost-optimizationdeepseekdeepseek-harnessdshdsh-pluginmcpmcp-clientmcp-gatewaymcp-routermodel-context-protocolprogressive-disclosuretool-discoverytool-routingtool-searchtool-selection
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About dsh-mcp-lens

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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