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docs(README): add Notifly MCP Server to Official Integrations (#2998)

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Ho Hieu
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@@ -362,6 +362,7 @@ Official integrations are maintained by companies building production ready MCP
- <img height="12" width="12" src="https://www.thenile.dev/favicon.ico" alt="Nile Logo" /> **[Nile](https://github.com/niledatabase/nile-mcp-server)** - An MCP server that talks to Nile - Postgres re-engineered for B2B apps. Manage and query databases, tenants, users, auth using LLMs
- <img height="12" width="12" src="https://avatars.githubusercontent.com/u/208441832?s=400&v=4" alt="Nodit Logo" /> **[Nodit](https://github.com/noditlabs/nodit-mcp-server)** - Official Nodit MCP Server enabling access to multi-chain RPC Nodes and Data APIs for blockchain data.
- <img height="12" width="12" src="https://app.norman.finance/favicons/favicon-32x32.png" alt="Norman Logo" /> **[Norman Finance](https://github.com/norman-finance/norman-mcp-server)** - MCP server for managing accounting and taxes with Norman Finance.
- <img height="12" width="12" src="https://notifly.tech/favicon.ico" alt="Notifly Logo" /> **[Notifly](https://github.com/notifly-tech/notifly-mcp-server)** - Notifly MCP Server that enables AI agents to provide real-time, trusted Notifly documentation and SDK code examples for seamless integrations.
- <img height="12" width="12" src="https://avatars.githubusercontent.com/u/4792552?s=200&v=4" alt="Notion Logo" /> **[Notion](https://github.com/makenotion/notion-mcp-server#readme)** - This project implements an MCP server for the Notion API.
- <img height="12" width="12" src="https://www.nutrient.io/assets/images/logos/nutrient.svg" alt="Nutrient Logo" /> **[Nutrient](https://github.com/PSPDFKit/nutrient-dws-mcp-server)** - Create, Edit, Sign, Extract Documents using Natural Language
- <img height="12" width="12" src="https://nx.dev/favicon/favicon.svg" alt="Nx Logo" /> **[Nx](https://github.com/nrwl/nx-console/blob/master/apps/nx-mcp)** - Makes [Nx's understanding](https://nx.dev/features/enhance-AI) of your codebase accessible to LLMs, providing insights into the codebase architecture, project relationships and runnable tasks thus allowing AI to make precise code suggestions.