awesome-mcp-servers
★ 96.9k
vs
infrawise
★ 22
awesome-mcp-servers vs infrawise
awesome-mcp-servers: This repository is a curated list of awesome Model Context Protocol (MCP) servers. It focuses on production-ready and experimental MCP servers that extend AI capabilities through various integrations.; infrawise: Infrawise gives AI coding assistants deterministic infrastructure awareness. It statically analyzes your codebase, cloud infrastructure and database schemas, then exposes that context through MCP so tools like Claude Code know your actual tables and indexes.
01
TL;DR
awesome-mcp-serversMCP Servers · ★ 96.9k
When to choose:
- You are looking for the most comprehensive, actively maintained catalog of Model Context Protocol (MCP) servers for Cursor or Claude Desktop.
- You need categorized listings with quality badges to quickly find tested servers across databases, cloud, dev tools, and APIs.
When to skip:
- You want an interactive web UI with specs comparisons and selection guides rather than a plain markdown list (AgentIndex provides full reviews).
- You are building an MCP server from scratch and need an SDK framework (use `fastmcp` or the official SDKs instead).
infrawiseMCP Servers · ★ 22
Avoid AI-suggested queries that scan very large tables
02
Side-by-Side Comparison
Field
awesome-mcp-serversinfrawiseCategory
MCP Servers
MCP Servers
Stars
★ 96.9k
★ 22
License
MIT
MIT
Install Command
git clone https://github.com/punkpeye/awesome-mcp-servers.git
npm install -g infrawise
Updated
5d ago
1d ago
Open Source
Yes
Yes
Tags
MCP, AI, Servers
ai-tools, aws, claude-code
03
Features
awesome-mcp-servers01Curated list of MCP servers (production-ready and experimental)
02Enables AI models to securely interact with local and remote resources
03Extends AI capabilities via file access, database connections, and API integrations
04Categorized implementations across diverse domains like databases, art, and developer tools
05Supports various programming languages and operating systems for server development
infrawise01Covers AWS Lambda, DynamoDB, SQS, EventBridge, PostgreSQL and MongoDB
02Works with Claude Code, Cursor and GitHub Copilot
03Static analysis instead of guessing about infrastructure
04
Use Cases
awesome-mcp-servers↳Allowing AI models to access local and remote resources securely
↳Integrating AI with various external APIs and databases for extended functionality
↳Unifying multiple AI tools and services through a single, intelligent MCP interface
infrawise↳Avoid AI-suggested queries that scan very large tables
↳Let an assistant see which indexes and functions already exist
05
Best For
awesome-mcp-serversMost PopularEssentialTrending
infrawise—
FAQ
FAQ
What is the difference between awesome-mcp-servers and infrawise?
Both awesome-mcp-servers and infrawise are in the MCP Servers category. awesome-mcp-servers has 96.9k stars, while infrawise has 22 stars.
Which is better, awesome-mcp-servers or infrawise?
The best choice depends on your use case. Choose awesome-mcp-servers if Allowing AI models to access local and remote resources securely, and infrawise if Avoid AI-suggested queries that scan very large tables.
Is awesome-mcp-servers free or open source?
Yes, awesome-mcp-servers is open source on GitHub (MIT).
Is infrawise free or open source?
Yes, infrawise is open source on GitHub (MIT).
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