MCP-X Agent 🤿 🤖

Created By
TimeCybera year ago
这是一个MCP客户端,让你轻松配置各个大模型,对接各种MCP Server而开发。This is an MCP client that allows you to easily configure various large models and develop interfaces with various MCP servers.
Overview

What is MCP-X?

MCP-X is an open-source MCP client that allows users to easily configure various large models and develop interfaces with different MCP servers.

How to use MCP-X?

To use MCP-X, download the appropriate version for your operating system (Windows, MacOS, or Linux) and follow the installation instructions provided in the documentation. You can then configure your MCP settings to connect with various LLMs and servers.

Key features of MCP-X?

  • 🌐 Universal LLM Support: Compatible with ChatGPT, Anthropic, Ollama, and OpenAI-compatible models.
  • 💻 Cross-Platform: Available for Windows, MacOS, and Linux.
  • 🔄 Model Context Protocol: Enables seamless integration of MCP AI agents.
  • 🌍 Multi-Language Support: Offers support for multiple languages including Traditional Chinese, Simplified Chinese, English, and Spanish.
  • ⚙️ Advanced API Management: Supports multiple API keys and model switching.
  • 💡 Custom Instructions: Allows personalized system prompts for tailored AI behavior.
  • 🔄 Auto-Update Mechanism: Automatically checks for and installs the latest updates.

Use cases of MCP-X?

  1. Integrating various large language models for enhanced AI capabilities.
  2. Developing custom applications that require interaction with multiple MCP servers.
  3. Facilitating research and development in AI by providing a flexible client interface.

FAQ from MCP-X?

  • Can MCP-X connect to any MCP server?

Yes! MCP-X is designed to connect with any MCP server that supports the required protocols.

  • Is MCP-X free to use?

Yes! MCP-X is open-source and free for everyone to use.

  • What platforms does MCP-X support?

MCP-X supports Windows, MacOS, and Linux.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
TimeCyber
Star
4
Language
TypeScript
License
Apache-2.0 license

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Docwand

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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

14 hours ago