dsh-mcp-lens
Run the following command in DeepSeek Harness:
dsh plugin install Andrietteprotective835/dsh-mcp-lens
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install Andrietteprotective835/dsh-mcp-lens in the DeepSeek Harness terminal to install; the source is available at https://github.com/Andrietteprotective835/dsh-mcp-lens
About this plugin
Every time an AI agent loads a large MCP tool set, the full schema for each tool is packed into the prompt, wasting tokens, slowing responses, and inflating the bill. dsh-mcp-lens tackles this schema overhead by routing 1,000+ tools through just two progressive-disclosure interfaces, so the model only sees the descriptions it actually needs at that moment. Project benchmarks report up to 90% less data transfer, roughly 80% lower token usage, and 50% faster response times. Beyond routing, it ships a local calculator that keeps simple math off the AI bill entirely, and a CI Budget Action that tracks usage in real time, warns you as you approach your spending ceiling, and helps forecast future costs. Everything runs locally on Windows 10/11 and plugs into the MCP standard and DeepSeek Harness with no external server required.
The plugin is a natural fit for three audiences: solo developers and small teams juggling dozens or hundreds of MCP tools where schema bloat is already a bottleneck; researchers and students running heavy AI workloads on a fixed budget; and freelancers or SMEs who need per-token spend to stay predictable. If you are already working inside DeepSeek Harness with a growing tool list, dropping dsh-mcp-lens into your pipeline should make a visible difference in your token bill within the first session.
Use Cases
- Compressing schema overhead across 1000+ MCP tools to cut prompt token usage
- Integrating multi-tool pipelines in DeepSeek Harness workflows to reduce data transfer and latency
- Tracking AI tool spending in real time with the built-in Budget Action and getting over-spend alerts
Best For
- Solo developers and small teams managing a large MCP tool catalog
- Researchers and students running AI workloads on a fixed budget
- Freelancers and SMEs that need per-token spend to stay predictable
Related Plugins
A method pack that makes AI coding agents plan against your real baseline, prove completion with fresh evidence, and reduce reworks and unsafe changes.
Turns the DeepSeek Harness session into a captain that builds a durable sub-agent team, splits goals into dependency-aware tasks, and coordinates work via direct messages and a live Web UI.
Gives coding agents design judgment, letting Claude Code, Cursor, and 70+ agents generate and iterate high-quality UI, presentations, and graphics right from the terminal.
Run the Pi ecosystem's plugins on DeepSeek Harness, unmodified, via a compatibility layer that implements Pi's public extension ABI on DSH's native services.