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dsh-netcafe

Workflow Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install mario03690/dsh-netcafe

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install mario03690/dsh-netcafe inside DeepSeek Harness to install this plugin; the source lives at https://github.com/mario03690/dsh-netcafe .

About this plugin

Hand-writing YAML for an MCP client and double-checking endpoints and parameters line by line is the most tedious part of wiring up third-party tools. dsh-netcafe packages that configuration into a single bundle: install it once and your dsh profile gains 34 hosted tools, all computed deterministically, without a language model in the loop and without any third-party API dependency, so the same input always yields the same output.

The design that stands out is its refusal to guess. Batch-extracting up to 20 invoices, every row is checked in code (net plus tax must equal gross), the batch total is re-added independently, and a misread row is flagged with the exact difference instead of silently landing in your books. Bank-statement reconciliation works the same way, pointing at the exact row where the running total first breaks. SQL transpilation uses a real parser rather than a model, reporting syntax errors down to line and column. Cross-session remember and recall let a different machine or a later dsh session pick up where you left off, and create_task pushes repetitive checks to the server, notifying you only when the result actually changes.

If you regularly process invoices and bank statements, migrate queries across SQL dialects, need to confirm your site is genuinely reachable from mainland China, or simply do not want to hand-write those few lines of MCP config, this bundle is worth a single install. You can also pick just one of the four focused packs and pay context cost only for what you actually use.

Use Cases

  • Batch-extract up to 20 invoices into a ledger-ready table with per-row arithmetic checks
  • Convert bank statement PDFs into structured transactions with automatic reconciliation
  • Transpile SQL deterministically across MySQL, PostgreSQL, Snowflake, and other dialects

Best For

  • Finance and accounting staff who process invoices and bank statements
  • Database developers who frequently migrate SQL across dialects
  • Ops engineers and indie developers verifying real mainland-China reachability