The LlamaCloud-MCP Repository

Created By
Ayushbeinga year ago
llamacloud-mcp is a cloud computing platform that offers secure and scalable solutions for businesses looking to move to the cloud. It provides easy access to virtual servers and storage options for efficient data management.
Overview

What is LlamaCloud-MCP?

LlamaCloud-MCP is a cloud computing platform that offers secure and scalable solutions for businesses looking to move to the cloud. It provides easy access to virtual servers and storage options for efficient data management.

How to use LlamaCloud-MCP?

To use LlamaCloud-MCP, visit the LlamaCloud-MCP Releases page to download and execute the necessary files.

Key features of LlamaCloud-MCP?

  • Secure and scalable cloud solutions for businesses.
  • Easy access to virtual servers and storage options.
  • Efficient data management capabilities.

Use cases of LlamaCloud-MCP?

  1. Businesses migrating their infrastructure to the cloud.
  2. Companies needing scalable storage solutions.
  3. Organizations looking for secure data management options.

FAQ from LlamaCloud-MCP?

  • Is LlamaCloud-MCP suitable for small businesses?

Yes! LlamaCloud-MCP is designed to cater to businesses of all sizes.

  • What kind of support is available?

Users can refer to the documentation and community forums for support.

  • Is there a cost associated with using LlamaCloud-MCP?

Please check the official repository for details on pricing and plans.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
Ayushbeing
Star
0
Language
Python
License
MIT license

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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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