Build MCP resources for managing context, memory, and persistent state. Give AI assistants access to notes, history, and dynamic context.
MCP (Model Context Protocol)
Skills for building MCP servers and tools. Connect AI assistants to databases, APIs, browsers, and external services with the open standard adopted by Anthropic and OpenAI.
5 skills available
The Model Context Protocol is the open standard for connecting AI assistants to external tools and data sources. Originally created by Anthropic and now governed by the Agentic AI Foundation under the Linux Foundation, MCP is backed by both Anthropic and OpenAI. With tens of thousands of community servers available, 2026 marks its transition from experimentation to enterprise-wide adoption.
Ecosystem:
- Tens of thousands of MCP servers available on directories like MCP.so
- Adopted by Claude, ChatGPT, and other major platforms
- Enterprise-grade servers from providers like Workato (100+ production-ready servers)
- Governed by the Agentic AI Foundation (Linux Foundation) since December 2025
What You Can Build:
- Database connectors (query Postgres, MySQL, MongoDB from AI chat)
- API integrations (Slack, GitHub, Jira, and any REST/GraphQL API)
- Browser automation (navigate, click, extract data from web pages)
- File system access (read, search, and manage local files)
- Custom business tools (CRM lookups, inventory checks, approval workflows)
Key Strengths:
- Open standard supported by multiple AI vendors — no lock-in
- Standardized protocol means one server works across different AI clients
- Security-first design for enterprise compliance
- Reusable servers across projects and teams
- Growing from community experiments to production enterprise tooling
Best For: Building AI agents, database querying, API automation, browser automation, enterprise tool integration, and extending any AI assistant with custom capabilities.
Featured Articles
View allAI Agents Explained: What They Are, How They Work, and Why Everyone's Building Them
Everything you need to know about AI agents: how they differ from chatbots, how they work, when to use them, …
BlogPrompt Chaining: How to Build Multi-Step AI Workflows Like a Pro
Build powerful multi-step AI workflows with prompt chaining. Get copy-paste templates, real examples, and …
BlogClaude Cowork: Anthropic's New AI Agent That Actually Works on Your Files
Claude Cowork tutorial: setup guide, connectors, use cases. Now available on Pro ($20/month). Learn how to use …
Trending This Week
Connect AI assistants to external APIs via MCP. Build bridges to REST APIs, webhooks, and third-party services with authentication and rate …
Design and implement custom MCP tools with proper schemas, error handling, and best practices. Create powerful AI capabilities.
Build your first Model Context Protocol (MCP) server from scratch. Step-by-step guide for TypeScript and Python implementations with working …
Browse All Skills
Build MCP resources for managing context, memory, and persistent state. Give AI assistants access to notes, history, and dynamic context.
Connect AI assistants to external APIs via MCP. Build bridges to REST APIs, webhooks, and third-party services with authentication and rate …
Connect AI assistants to databases via MCP. Build secure database tools for querying, inserting, and managing data with proper safety …
Design and implement custom MCP tools with proper schemas, error handling, and best practices. Create powerful AI capabilities.
Build your first Model Context Protocol (MCP) server from scratch. Step-by-step guide for TypeScript and Python implementations with working …
No skills found matching your criteria.
Can't find what you need?
Tell us what AI skill or prompt you're looking for and we'll create it for you.
Request a Skill