Awesome MCP Servers

Created By
xinmiaoyana year ago
Overview

What is Awesome MCP Servers?

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enable AI models to interact with local and remote resources through standardized server implementations.

How to use Awesome MCP Servers?

To use Awesome MCP Servers, explore the curated list of servers available on the GitHub repository, and follow the provided tutorials for setup and implementation.

Key features of Awesome MCP Servers?

  • A comprehensive directory of production-ready and experimental MCP servers.
  • Tutorials for quick setup and usage of various MCP servers.
  • Community support through Discord and Reddit.

Use cases of Awesome MCP Servers?

  1. Integrating AI models with cloud services for enhanced capabilities.
  2. Automating web content access and processing through browser automation servers.
  3. Enabling secure database access and querying through specialized MCP servers.

FAQ from Awesome MCP Servers?

  • What is the Model Context Protocol (MCP)?

MCP is an open protocol that allows AI models to securely interact with various resources through standardized server implementations.

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

You can contribute by submitting pull requests on the GitHub repository with new server implementations or improvements.

  • Is there community support available?

Yes! You can join the Discord server or the r/mcp subreddit for community discussions and support.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
xinmiaoyan
Star
0
Language
-
License
MIT license

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

20 hours ago
Mnemom

21 hours ago
Shippo
@Shippo

a day ago