Awesome MCP Clients

Created By
punkpeyea year ago
A collection of MCP clients.
Overview

What is Awesome MCP Clients?

Awesome MCP Clients is a curated collection of Model Context Protocol (MCP) clients that facilitate secure interactions between AI models and local or remote resources through standardized server implementations.

How to use Awesome MCP Clients?

Users can explore the list of MCP clients available in the repository, each with its own GitHub link for installation and usage instructions.

Key features of Awesome MCP Clients?

  • A comprehensive list of production-ready and experimental MCP clients.
  • Links to each client's GitHub repository for easy access.
  • Community support through Discord and Reddit.

Use cases of Awesome MCP Clients?

  1. Integrating AI models with local databases and APIs.
  2. Developing applications that require AI capabilities through MCP.
  3. Exploring various MCP clients for different platforms and use cases.

FAQ from Awesome MCP Clients?

  • What is the Model Context Protocol (MCP)?

MCP is an open protocol that allows AI models to interact with resources securely.

  • How can I contribute to the Awesome MCP Clients list?

You can submit a pull request on the GitHub repository to add new clients or improve existing entries.

  • Is there a community for MCP users?

Yes! You can join the MCP community on Discord or Reddit.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
punkpeye
Star
3537
Language
-
License
MIT license

Recommend Servers

View All
Tavily Mcp
@tavily-ai

JavaScript
a year 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

an hour ago
Mnemom

2 hours ago