Skills and Servers — Every AI Skill and MCP Server, Tested and Documented (2026)
Independent · Provider-agnostic · Updated weekly

Find every AI Skill and MCP server

The definitive directory of AI Skills and Model Context Protocol servers. Every entry tested by our team, with real code, configs, and comparisons across providers.

247
AI Skills
186
MCP Servers
8
Providers
30
Comparisons
Skills

Task-specific instructions your AI reads before executing

Skills are portable instruction folders — a SKILL.md file plus supporting scripts, references, and templates. Drop one into your AI, and it knows how to complete a well-defined job: create a Word doc, extract PDF tables, review code, or run a multi-step workflow. Introduced by Anthropic in October 2025 and now supported by every major provider.

10 categories 247 Skills Provider-agnostic Tested code
Browse all Skills
MCP Servers

Connectors between your AI and everything else

MCP servers implement the Model Context Protocol, an open standard from Anthropic. Each server exposes tools, resources, and prompts that your AI can call — databases, git, Slack, cloud, CRMs, files, whatever you need to reach. Runs locally or remote. Supported by Claude Desktop, Cursor, Cline, Continue, and every serious AI client.

10 categories 186 servers Python · TypeScript · Go Auth patterns documented
Browse all MCP servers

Featured Skills this week

Fresh additions from our editorial team. Every Skill tested, every code sample runs.

Dev

React Component Generator

Generate typed, accessible React components with props, tests, and Storybook stories from a short spec. Uses your team's conventions.

Tested Aug 11·Ahmed R.
Content

SEO Meta Title and Description Writer

Generates title tags and meta descriptions optimized for click-through — with your target keyword and character-count constraints honored.

Tested Aug 10·Sana K.
Ops

Contract Review Playbook

Reviews commercial contracts against your team's playbook — indemnity, liability caps, IP, termination, MFN, exclusivity. Flags deviations.

Tested Aug 9·Ahmed R.

Browse all 247 Skills →

Featured MCP Servers this week

Every server installed, tested, and documented — with real configs for Claude Desktop, Cursor, and Cline.

Database

Postgres MCP Server (Official)

Anthropic's official Postgres MCP server. Read-only or full access, connection pooling, prepared statements, schema introspection.

TypeScript·Tested Aug 14·2.1k stars
Dev

GitHub MCP Server

Read repos, list issues, open PRs, add comments, browse files. OAuth or personal token auth. Ships with rate-limit handling built in.

TypeScript·Tested Aug 13·3.4k stars
Comms

Slack MCP Server

Send messages, search history, list channels, react to threads. Bot token or user token auth. Handles rate limits and thread context.

TypeScript·Tested Aug 12·1.8k stars
Vector

Qdrant MCP Server

Vector search over your Qdrant collections. Upsert points, filter by payload, hybrid search with sparse + dense vectors.

Python·Tested Aug 11·920 stars
Cloud

AWS MCP Server (Official)

Query S3, invoke Lambda, read CloudWatch logs, tag resources. IAM-scoped auth with SSO support. Handles regional endpoints automatically.

Python·Tested Aug 10·1.3k stars
Business

Stripe MCP Server

List customers, create invoices, refund charges, pull subscription data. Restricted-key auth recommended; every mutation confirmed.

TypeScript·Tested Aug 9·1.1k stars

Browse all 186 MCP servers →

Learn Skills and MCP from the ground up

Start here if you are new. Concept guides, tutorials, and best practices — all provider-agnostic.

Concept

Introduction to MCP

The Model Context Protocol explained — architecture, transports, tools, resources, prompts.

Browse all 40 Learn guides →

Getting errors deploying Skills or MCP servers?

Every common error from every AI provider — fix guides, tested code, live status. Our sister site handles the troubleshooting side.

Visit AI Error Hub
Featured on
Hacker News · Reddit r/ClaudeAI · Reddit r/LocalLLaMA · Dev.to · Latent Space

Frequently asked questions

The Skills and MCP basics — answered.

An AI Skill is a task-specific instruction folder that an AI model reads before executing a task. Skills contain a SKILL.md file plus supporting scripts, references, and templates that give the AI everything it needs to complete a well-defined job — like creating a Word document, extracting PDF tables, or reviewing code. Anthropic introduced the format in October 2025 and it has since been adopted by OpenAI, Google Gemini, and the wider open-source community.
An MCP server is a program that implements the Model Context Protocol, an open standard open-sourced by Anthropic in November 2024. MCP servers act as connectors between AI models and external tools, databases, files, or services. A single MCP server can expose tools (functions the model can call), resources (data the model can read), and prompts (reusable templates). Every major AI client — Claude Desktop, Cursor, Cline, Continue, and others — supports MCP.
Skills are static instructions the AI reads to know how to do a task. MCP servers are running programs that give the AI access to external systems and data. You use a Skill when you want the AI to follow a specific workflow or pattern. You use an MCP server when you want the AI to actually do something in the real world — read your database, send a Slack message, or list your GitHub issues. They work together: a Skill can call MCP servers as part of its workflow. See our full Skills vs MCP guide.
As of August 2026: Anthropic Claude has the most complete Skills and MCP support. OpenAI added Skills support in early 2026 and full MCP client support in ChatGPT. Google Gemini added MCP support in Q1 2026 and Skills is in beta. Meta Llama, Mistral, Cohere, xAI Grok, and DeepSeek have varying levels of MCP support, mostly through community clients. Our provider hubs document each provider's exact capability matrix.
No. Skills and Servers is an independent, provider-agnostic directory. We test and document Skills and MCP servers across every major AI provider so you can pick the right tool regardless of which model you use. Our editorial team is not paid by any AI provider. When we recommend a paid tool, we clearly mark affiliate links per our advertising disclosure.

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