Dsh Mcp
Description
dsh as mcp, make your claude code or codex etc. faster, more powerful and more economic!
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
dsh-mcp ⚡
Fast and cheap — the heavy work runs on deepseek-v4-flash.
An execution layer for MCP agents — powered by a local DeepSeek Harness.
Agentic coding tools are expensive and slow for one reason: the parent model reads files one by one. `dsh-mcp` flips that — **the parent agent keeps the reasoning, the local DeepSeek Harness does the heavy lifting**: batch reads, edits, and command runs, priced at deepseek-v4-flash rates, on your machine.
  
**Works with any MCP client · tested end-to-end with Claude Code**
**🌐 [English](README.md) · [简体中文](README.zh-CN.md) · [日本語](README.ja-JP.md)**
Why: fast and cheap, by design
**The pain.** Long-horizon, multi-file work is where agentic tools bleed money and time: the parent model grinds through every file itself — one `Read` per file, exploration loops, context that grows and drifts. You pay the parent's per-token rates for the *reading*, and you wait for the model to do it *serially*.
**The fix.** One `delegate_to_dsh` call hands the whole token-heavy subtask to a fresh, focused DeepSeek Harness agent running **deepseek-v4-flash** inside your workspace. All the file I/O happens there — batched, local, cheap. The parent stays in the loop for what actually needs a brain: **planning, diagnosis, decisions, verification**.
Measured on 100 SWE-bench-style long-horizon tasks (heterogeneous model setup: parent = deepseek-v4-pro, DSH = deepseek-v4-flash; arm B runs the same parent model without the plugin):
with dsh-mcp |
raw agent | |
|---|---|---|
| Accuracy | 100/100 · 100% | 89/100 · 89% |
| Avg. wall time | 76s | 120s |
| Statistical significance | — | Fisher p < 0.001 |
Faster, more accurate — and the accuracy gap is now sta
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