Jotsu MCP

Created By
getjotsua year ago
Versatile library for the Model Context Protocol (MCP), primarily designed for handling authentication.
Overview

what is Jotsu MCP?

Jotsu MCP is a versatile library designed for implementing the Model Context Protocol (MCP), primarily focused on handling authentication processes.

how to use Jotsu MCP?

To use Jotsu MCP, integrate the library into your Python project and follow the documentation provided on the GitHub repository to set up authentication and manage context effectively.

key features of Jotsu MCP?

  • General-purpose library for MCP implementation
  • Focus on authentication handling
  • Easy integration with Python projects

use cases of Jotsu MCP?

  1. Implementing secure authentication in applications using MCP.
  2. Managing user context in multi-user environments.
  3. Facilitating communication between clients and servers using the Model Context Protocol.

FAQ from Jotsu MCP?

  • What programming language is Jotsu MCP written in?

Jotsu MCP is written in Python.

  • Is Jotsu MCP free to use?

Yes! Jotsu MCP is available under the Apache-2.0 license, making it free to use and modify.

  • How can I contribute to Jotsu MCP?

Contributions are welcome! You can submit issues or pull requests on the GitHub repository.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
getjotsu
Star
2
Language
Python
License
Apache-2.0 license

Recommend Servers

View All
Mnemom

14 hours ago
//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
Docwand

13 hours ago