Json AI Agent Skills
Browse AI agent skills tagged "Json". Find and install skills, MCP servers, and plugins for your AI coding assistant.
224 listings
Supabase MCP Server
The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools. Before setting up the MCP server, we recommend you read our security best practices to understand t
DevPlan MCP Server
Transform ideas into executable development plans — an MCP server that brings the ClaudeCode-DevPlanBuilder methodology to Claude Code. Or add to ~/.claude.json under the mcpServers key: If you already have DevPlan installed, remove from both scopes and re-add: That's it. DevPlan will guide Claude through the entire process. DevPlan uses a scaffold → enhance → validate workflow that ensures every
SqlAugur
An MCP server that gives AI assistants safe, read-only access to SQL Server databases. Every query is parsed into a full AST using Microsoft's official T-SQL parser — not regex — so comment injection, string literal tricks, and encoding bypasses are blocked at the syntax level. Prerequisite: .NET 10.0 runtime 2. Configure — create ~/.config/sqlaugur/appsettings.json (Linux/macOS) or %APPDATA%\sqla
Signals Scout Health Checks
A collection of PostHog skills for enhancing AI-assisted workflows. Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Copy any skill directory to .claude/skills/ in your project: Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the market
Authoring Log Alerts
A collection of PostHog skills for enhancing AI-assisted workflows. Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Copy any skill directory to .claude/skills/ in your project: Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the market
ADLS2 MCP Server 🚀
A Model Context Protocol (MCP) server implementation for Azure Data Lake Storage Gen2. This service provides a standardized interface for interacting with ADLS2 storage, enabling file operations through MCP tools. Requires Python 3.13 or higher. Install the package using uv: 1 - Edit Claude Desktop Configuration: Open claudedesktopconfig.json and add the following configuration. On MacOs, the file
MCP Database Server
This is a simple example of how to use a Fireproof database in a Model Context Protocol server (used for plugging code and data into A.I. systems such as Claude Desktop). This demo server implements a basic JSON document store with CRUD operations (Create, Read, Update, Delete) and the ability to query documents sorted by any field. Install dependencies: To use with Claude Desktop, add the server
Tuning Incremental Sync Config
A collection of PostHog skills for enhancing AI-assisted workflows. Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Copy any skill directory to .claude/skills/ in your project: Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the market
Codex MCP Tool
MCP server connecting Claude/Cursor to Codex CLI. Enables code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode. - File Analysis — Reference files with @src/, @package.json syntax - Multi-Turn Sessions — Conversation continuity with workspace isolation - Native Resume — Uses codex resume for context preservation (CLI v0.36.0+) - Local OSS Models
Z-Image Studio
A Cli, a webUI, and a MCP server for the Z-Image-Turbo text-to-image generation model (Tongyi-MAI/Z-Image-Turbo and its variants). This tool is designed to run efficiently on local machines for Windows/Mac/Linux users. It features specific optimizations for NVIDIA (CUDA), AMD on Linux (ROCm), Intel (XPU), and Apple Silicon (MPS), falling back to CPU if no compatible GPU is detected. Hybrid Interfa
Signals Scout Data Pipelines
A collection of PostHog skills for enhancing AI-assisted workflows. Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Copy any skill directory to .claude/skills/ in your project: Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the market
Mem0 MCP Server
mem0-mcp-server wraps the official Mem0 Memory API as a Model Context Protocol (MCP) server so any MCP-compatible client (Claude Desktop, Cursor, custom agents) can add, search, update, and delete long-term memories. The server exposes the following tools to your LLM: All responses are JSON strings returned directly from the Mem0 API. There are three ways to use the Mem0 MCP Server: 1. Python Pack
mcp-installer - A MCP Server to install MCP Servers
This server is a server that installs other MCP servers for you. Install it, and you can ask Claude to install MCP servers hosted in npm or PyPi for you. Requires npx and uv to be installed for node and Python servers respectively. Put this into your claudedesktopconfig.json (either at ~/Library/Application Support/Claude on macOS or C:\Users\NAME\AppData\Roaming\Claude on Windows):
FoodBlock
A content-addressable protocol for universal food data. One axiom. Three fields. Six base types. Every food industry operation. id = SHA-256(canonical(type + state + refs)) The food industry spans 14 sectors — farming, processing, distribution, retail, hospitality, regulation, sustainability, and more. Every sector models food data differently. There is no shared primitive. FoodBlock is that primi
Fetch MCP Server
This MCP server provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown. Available on NPM - fetchhtml - Fetch a website and return the content as HTML - url (string, required): URL of the website to fetch - headers (object, optional): Custom headers to include in the request - maxlength (number, optional): Maximum length to fetch (default 5000
Managing Endpoint Versions
A collection of PostHog skills for enhancing AI-assisted workflows. Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Copy any skill directory to .claude/skills/ in your project: Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the market
Exploring Endpoint Execution Logs
A collection of PostHog skills for enhancing AI-assisted workflows. Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Copy any skill directory to .claude/skills/ in your project: Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the market
Manifest YAML
Prompt for Expert Manifest Developer**
DexScreener Trending MCP
An MCP server that provides real-time trending tokens from DexScreener for BSC and Solana chains. - Tool: gettrendingpairs — fetch top trending pairs - Supports chain parameter: bsc (default) or solana - Returns both Markdown-formatted table (nice display in chat) and structured JSON array - Prompt: analyzetrendingtoken — ready-to-use analysis template for any token 1. Clone the Repository: 2. Ins
YouTube Summarize
MCP server that fetches YouTube video transcripts and optionally summarizes them. - Fetch transcripts in multiple formats (text, JSON, SRT, WebVTT, pretty-print) - Summarize videos — returns transcript with instructions for the LLM to produce a summary - List available languages for any video's transcripts - Flexible URL parsing — accepts full YouTube URLs (youtube.com/watch?v=, youtu.be/, youtube
Free Will MCP - Set your AI free
Keep an eye on your API usage. Add the following to your Claude Desktop config file: macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json Windows: %APPDATA%\Claude\claudedesktopconfig.json For local development, use the path to your local repository: - For security reasons, it's best to keep versions pinned and manually update them. All tools have been implemented and tested ✅ - ✅
Investigating Replay
A collection of PostHog skills for enhancing AI-assisted workflows. Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Copy any skill directory to .claude/skills/ in your project: Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the market
Signals Scout Session Replay
A collection of PostHog skills for enhancing AI-assisted workflows. Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Copy any skill directory to .claude/skills/ in your project: Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the market
Mac Apps Launcher MCP Server
A Model Context Protocol (MCP) server for launching and managing macOS applications. - List all applications installed in the /Applications folder - Launch applications by name - Open files with specific applications Add the following to your Claude Config JSON file