MCP-Smallest.ai

Created By
VinayakTiwari1103a year ago
MCP-smallest-ai
Overview

What is MCP-Smallest.ai?

MCP-Smallest.ai is a Model Context Protocol (MCP) server implementation designed for integrating with the Smallest.ai API, providing a standardized interface for knowledge base management.

How to use MCP-Smallest.ai?

To use MCP-Smallest.ai, clone the repository, install dependencies, configure your Smallest.ai API key, and start the server using Bun runtime.

Key features of MCP-Smallest.ai?

  • Standardized communication between clients and the Smallest.ai API.
  • Tools for managing knowledge bases, including listing, creating, and retrieving knowledge bases.
  • Comprehensive error handling and security measures.

Use cases of MCP-Smallest.ai?

  1. Middleware for applications needing to manage knowledge bases.
  2. Integration with Smallest.ai for enhanced data retrieval and management.
  3. Development of client applications that require standardized API interactions.

FAQ from MCP-Smallest.ai?

  • What is the purpose of MCP-Smallest.ai?

It serves as a middleware to facilitate interactions with the Smallest.ai API for knowledge base management.

  • What are the prerequisites for using this project?

You need Node.js 18+, a Smallest.ai API key, and knowledge of TypeScript.

  • How do I start the server?

Use the command bun run index.ts after setting up your environment.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
VinayakTiwari1103
Star
2
Language
TypeScript
License
-
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//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

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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