MCP-Learnings

Created By
AbhijitKumarJa year ago
MCP tutorials and content
Overview

what is MCP-Learnings?

MCP-Learnings is a platform that provides tutorials and content related to MCP (Multi-Channel Processing) technology, aimed at helping users understand and implement MCP solutions.

how to use MCP-Learnings?

To use MCP-Learnings, visit the GitHub repository at MCP-Learnings where you can access various tutorials and resources.

key features of MCP-Learnings?

  • Comprehensive tutorials on MCP technology
  • Community-driven content and contributions
  • Open-source resources available under Apache-2.0 license

use cases of MCP-Learnings?

  1. Learning about MCP server and client architecture
  2. Implementing MCP solutions in real-world applications
  3. Contributing to the MCP community through shared knowledge and resources

FAQ from MCP-Learnings?

  • What is MCP technology?

MCP technology refers to Multi-Channel Processing, which allows for the integration and management of multiple data channels.

  • Is MCP-Learnings free to use?

Yes! MCP-Learnings is open-source and free for everyone to access.

  • How can I contribute to MCP-Learnings?

You can contribute by submitting tutorials, resources, or improvements to the GitHub repository.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
AbhijitKumarJ
Star
0
Language
HTML
License
Apache-2.0 license
Tags

Recommend Servers

View All
//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

13 hours ago
Shippo
@Shippo

21 hours ago