Awesome Mcp Servers

Created By
punkpeyea year ago
Overview

What is Awesome MCP Servers?

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

How to use Awesome MCP Servers?

Users can explore the list of MCP servers available on the GitHub repository, and utilize the provided links to access specific servers for various functionalities.

Key features of Awesome MCP Servers?

  • Comprehensive directory of production-ready and experimental MCP servers.
  • Categorization of servers based on functionality such as browser automation, databases, and communication.
  • Links to tutorials and client implementations for easy integration.

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. Accessing and managing databases securely with 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?

Contributions can be made by submitting pull requests on the GitHub repository with new server implementations or updates.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
punkpeye
Star
-
Language
-
License
-
Category

Recommend Servers

View All
Wpnews

18 hours ago
Linkpulse

2 days 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

a day ago
Shippo
@Shippo

2 days ago
Orkestr

19 hours ago