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.
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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.
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