Docuplete

Created By
Docuplete19 days ago
Docuplete automates document completion for businesses — PDF templates, client interview forms, and e-signatures in one platform. The MCP server lets you drive the entire workflow from a conversation: find your document packages, start a client session, prefill fields from context, and generate the completed PDF packet without touching the dashboard.

Server Config

{
  "mcpServers": {
    "docuplete": {
      "command": "npx",
      "args": [
        "-y",
        "@docuplete/mcp-server"
      ],
      "env": {
        "DOCUPLETE_API_KEY": "sk_live_YOUR_KEY_HERE"
      }
    }
  }
}
Project Info
Created At
19 days ago
Updated At
19 days ago
Author Name
Docuplete
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//beforeyouship — LLM Cost Modeling From Your Editor
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Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

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