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kehvinbehvin wants to merge 4 commits into from
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Add JSON MCP Filter to README.md #2462

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f576512
feat: add json mcp filter to README.md
kehvinbehvin Aug 1, 2025
ee12a3e
Merge branch 'main' into add-json-mcp-filter
kehvinbehvin Aug 1, 2025
e7f64a4
Merge branch 'main' into add-json-mcp-filter
kehvinbehvin Aug 3, 2025
0b669af
feat: update mcp name
kehvinbehvin Aug 5, 2025
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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -676,6 +676,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Job Searcher](https://github.com/0xDAEF0F/job-searchoor)** - A FastMCP server that provides tools for retrieving and filtering job listings based on time period, keywords, and remote work preferences.
- **[jobswithgpt](https://github.com/jobswithgpt/mcp)** - Job search MCP using jobswithgpt which indexes 500K+ public job listings and refreshed continously.
- **[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 Filter](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.
- **[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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