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[](https://mseep.ai/app/kehvinbehvin-json-mcp-filter)
A powerful Model Context Protocol (MCP) server that provides JSON schema generation and filtering tools for local files and remote HTTP/HTTPS endpoints. Built with quicktype for robust TypeScript type generation.
Perfect for: Filtering large JSON files and API responses to extract only relevant data for LLM context, while maintaining type safety.
- 🔄 Schema Generation - Convert JSON to TypeScript interfaces using quicktype
- 🎯 Smart Filtering - Extract specific fields with shape-based filtering
- 🌐 Remote Support - Works with HTTP/HTTPS URLs and API endpoints
- 📦 Auto Chunking - Handles large datasets with automatic 400KB chunking
- 🛡️ Size Protection - Built-in 50MB limit with memory safety
- ⚡ MCP Ready - Seamless integration with Claude Desktop and Claude Code
- 🚨 Smart Errors - Clear, actionable error messages with debugging info
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want kehvinbehvin/json-mcp-filter again. Will you remember where to find it?
Save it to your library and the next time you need kehvinbehvin/json-mcp-filter, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. kehvinbehvin/json-mcp-filter. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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