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add [JSON to Excel MCP by WTSolutions] to readme.md #2531

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Expand Up @@ -715,6 +715,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[joinly](https://github.com/joinly-ai/joinly)** - MCP server to interact with browser-based meeting platforms (Zoom, Teams, Google Meet). Enables AI agents to send bots to online meetings, gather live transcripts, speak text, and send messages in the meeting chat.
- **[JSON](https://github.com/GongRzhe/JSON-MCP-Server)** - JSON handling and processing server with advanced query capabilities using JSONPath syntax and support for array, string, numeric, and date operations.
- **[JSON](https://github.com/kehvinbehvin/json-mcp-filter)** - JSON schema generation and filtering server with TypeScript type creation optimised for retrieving relevant context JSON data using quicktype-core and support for shape-based data extraction, nested object filtering, and array processing operations.
- **[JSON to Excel by WTSolutions](https://github.com/he-yang/json-to-excel-mcp)** - Converting JSON into CSV format string from (1) JSON data, (2) URLs pointing to publiclly available .json files.
- **[JSON2Video MCP](https://github.com/omergocmen/json2video-mcp-server)** - A Model Context Protocol (MCP) server implementation for programmatically generating videos using the json2video API. This server exposes powerful video generation and status-checking tools for use with LLMs, agents, or any MCP-compatible client.
- **[jupiter-mcp](https://github.com/kukapay/jupiter-mcp)** - An MCP server for executing token swaps on the Solana blockchain using Jupiter's new Ultra API.
- **[Jupyter MCP Server](https://github.com/datalayer/jupyter-mcp-server)** – Real-time interaction with Jupyter Notebooks, allowing AI to edit, document and execute code for data analysis, visualization etc. Compatible with any Jupyter deployment (local, JupyterHub, ...).
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