AgentIndex icon
AgentIndex
awesome-mcp logo
awesome-mcp
★ 11
vs
mcpscore logo
mcpscore
★ 42

awesome-mcp vs mcpscore

awesome-mcp: awesome-mcp is a curated repository of resources centered on the Model Context Protocol (MCP) — tools, libraries, research papers, open-source projects, and tutorials. Maintained by the AI-in-Transportation Lab with an associated arXiv survey paper, it collects over 100 MCP-related papers and implementations covering LangGraph architectures, custom tool routers, model-control interfaces, and retrieval-augmented generation pipelines. Primarily a research and discovery resource rather than an installable tool.; mcpscore: mcpscore acts as a 'Lighthouse' for Model Context Protocol (MCP) servers, meticulously auditing their adherence to the spec, assessing tool quality, and evaluating security posture. It delivers a scored, actionable report, empowering developers to proactively identify and resolve issues before they impact AI agents.

01

TL;DR

awesome-mcp logo
awesome-mcpDev Tooling · ★ 11

Discovering cutting-edge MCP research papers and implementations

Read awesome-mcp full review →
mcpscore logo
mcpscoreDev Tooling · ★ 42

Auditing local MCP server scripts written in languages like Python or Node.js.

Read mcpscore full review →
02

Side-by-Side Comparison

Field
awesome-mcp logoawesome-mcp
mcpscore logomcpscore
Category
Dev Tooling
Dev Tooling
Stars
★ 11
★ 42
License
NOASSERTION
MIT
Install Command
git clone https://github.com/AI-in-Transportation-Lab/awesome-mcp.git
pip install mcpscore
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
mcp, mcp-servers, model-context-protocol
MCP, Protocol Audit, Server Evaluation
03

Features

awesome-mcp logoawesome-mcp
01Curated list of 100+ MCP-related research papers with citations
02Coverage of tools, libraries, and open-source MCP implementations
03Associated arXiv survey: "Model Context Protocols in Adaptive Transport Systems"
04Regularly updated with new papers and implementations
05Organized for researchers exploring context-aware AI systems
mcpscore logomcpscore
01Audits MCP servers via multiple transports (STDIO, HTTP, SSE) with automatic detection.
02Verifies the MCP `initialize` handshake to ensure a valid MCP endpoint.
03Supports auditing MCP servers implemented in any programming language.
04Provides severity-based reporting (CRITICAL, HIGH, MEDIUM, LOW) for actionable remediation.
04

Use Cases

awesome-mcp logoawesome-mcp
↳Discovering cutting-edge MCP research papers and implementations
↳Finding reference architectures for LangGraph, RAG, and agent tool routing
↳Getting an overview of the MCP ecosystem for a research or evaluation project
mcpscore logomcpscore
↳Auditing local MCP server scripts written in languages like Python or Node.js.
↳Running `mcpscore` against any remote MCP server URL to check its compliance and quality.
↳Integrating into CI/CD pipelines to ensure protocol conformance before deployment.
↳Programmatic use as a Python library to build custom MCP auditing tools.
FAQ

FAQ

What is the difference between awesome-mcp and mcpscore?
Both awesome-mcp and mcpscore are in the Dev Tooling category. awesome-mcp has 11 stars, while mcpscore has 42 stars.
Which is better, awesome-mcp or mcpscore?
The best choice depends on your use case. Choose awesome-mcp if Discovering cutting-edge MCP research papers and implementations, and mcpscore if Auditing local MCP server scripts written in languages like Python or Node.js..
Is awesome-mcp free or open source?
Yes, awesome-mcp is open source on GitHub (NOASSERTION).
Is mcpscore free or open source?
Yes, mcpscore is open source on GitHub (MIT).
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