awesome-mcp-servers

Name: awesome-mcp-servers Review
Item: awesome-mcp-servers
Rating: 3.6
Author: Aaron Matthews

Connector Development Solid

A comprehensive collection of Model Context Protocol (MCP) servers

Find MCP servers that integrate with your existing development tools and workflows
Review available MCP server implementations to understand protocol capabilities and patterns
Discover specialized MCP servers for specific coding tasks or technology stacks

756 starsMIT (commercial OK)FreeNo code needed

Why it matters

Centralizes discovery and integration of MCP servers, reducing engineering time spent evaluating fragmented tooling options and accelerating deployment of standardized AI-assisted development workflows across teams.

Best for

Development teams standardizing on MCP-based tooling and platform engineers building extensible AI development environments.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/TensorBlock/awesome-mcp-servers

By TensorBlock

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

claude mcp add awesome-mcp-servers -- npx -y awesome-mcp-servers

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars756Last updated2026-06-26LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-26 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 756 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

4/5

Versatility

4/5

Reliability

3/5

Security

3/5

Overall score3.60 / 5.00 SolidEvaluatedJun 2026

Scored from trust signals (evidence-eval-v1): 756 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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