How to Connect Claude to Notion Using MCP
Step-by-step tutorial to connect Claude Desktop to your Notion workspace using the official MCP Notion server. Search, read, and create pages directly from Claude.
Your complete guide to MCP — the open standard for connecting AI applications to external systems
MCP is a standardized protocol that connects AI applications to any external system — like USB-C for your AI tools.
Expose tools for AI to execute actions, resources for context data, and prompts for interaction templates.
Built as an open-source standard with SDKs for TypeScript, Python, Go, Rust, and more.
Step-by-step tutorial to connect Claude Desktop to your Notion workspace using the official MCP Notion server. Search, read, and create pages directly from Claude.
A practical troubleshooting guide for MCP server problems. Learn to diagnose connection failures, tool errors, and performance issues with step-by-step solutions.
Learn how to deploy MCP in enterprise environments. Covers security, governance, deployment patterns, and best practices for large-scale MCP implementations.
Compare the MCP TypeScript and Python SDKs. Learn the differences, strengths, and when to use each for building MCP servers and clients.
A detailed comparison of the Model Context Protocol (MCP) and LangChain. Learn the key differences, use cases, and when to use each for AI integrations.
A complete beginner's guide to the Model Context Protocol (MCP), the open standard for connecting AI applications like Claude and ChatGPT to external systems.
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.
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.
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.
Yes, MCP is completely free and open-source. You can use it in personal and commercial projects without any licensing fees.
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.
Start integrating AI with your systems using the Model Context Protocol
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