Master the Model Context Protocol

Your complete guide to MCP — the open standard for connecting AI applications to external systems

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What is MCP?

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USB-C for AI

MCP is a standardized protocol that connects AI applications to any external system — like USB-C for your AI tools.

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Tools & Resources

Expose tools for AI to execute actions, resources for context data, and prompts for interaction templates.

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Open Standard

Built as an open-source standard with SDKs for TypeScript, Python, Go, Rust, and more.

Find the guide you need

The library runs to well over a hundred setup walkthroughs, so it is indexed twice. Browse guides by client and server type to narrow things down, or jump straight to one of the hubs below.

Cursor IDE

mcp.json config for every server we cover

Claude Desktop

Config paths, local files, troubleshooting

Databases

Postgres, warehouses and vector stores

Cloud and deployment

AWS, containers and hosting platforms

Where most readers start

If the protocol itself is new to you, our plain-English explainer on what MCP is covers the hosts, clients and servers involved, and the comparison of tools, resources and prompts explains why some servers can act on your behalf while others only hand over context. Before anything touches real credentials, read how MCP servers handle API keys, OAuth and service accounts and work through the server-side security checklist.

On the integration side, the most-read walkthroughs cover reading and transitioning Jira tickets from Cursor, managing a Linear backlog with a personal API key, creating and updating ClickUp tasks, and searching a Notion workspace from Composer. For infrastructure work there is querying S3, Lambda and CloudWatch through your AWS credential chain, running SQL against a BigQuery warehouse, and running MCP servers inside containers.

Rounding out the popular set: the Slack bot-token walkthrough that covers Claude Desktop and Cursor together, pulling Figma file structure into a design-to-code workflow, writing Cursor rules that fetch live library docs automatically, and the official GitHub server with its read-only mode and toolset flags.

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Frequently Asked Questions

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open standard for connecting AI applications like Claude and ChatGPT to external systems such as databases, APIs, and file systems. Think of it as USB-C for AI — a standardized way for AI tools to interact with the outside world.

Who created MCP?

MCP was created by Anthropic and released as an open-source standard. It includes SDKs for multiple programming languages including TypeScript, Python, Go, and Rust.

What can I do with MCP?

With MCP, you can expose tools for AI to execute actions, provide resources for context data, and create prompt templates for interaction patterns. Common use cases include connecting AI to databases, integrating with APIs, accessing file systems, and building custom AI workflows.

Is MCP free to use?

Yes, MCP is completely free and open-source. You can use it in personal and commercial projects without any licensing fees.

Which AI applications support MCP?

MCP is supported by Claude (via Claude Desktop), and the ecosystem is growing. Many third-party tools and applications are adding MCP support, making it a versatile standard for AI integration.

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