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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
A Model Context Protocol server for PostgreSQL databases. Enables LLMs to query and analyze PostgreSQL databases through a controlled interface.
Model Context Protocol server for the - uncensored, private AI for any MCP host (Claude Desktop, Cursor, ChatGPT, LM Studio, Continue, LibreChat, Open WebUI, AnythingLLM, Jan, Le Chat).
Think DVWA but for MCP/AI agent security.
A Ruby gem implementation of a Model Context Protocol (MCP) server for Rails projects. This server allows LLMs (Large Language Models) to interact with Rails projects through the Model Context...
The runProcess tool runs processes on the host machine. There are two mutually exclusive ways to invoke it:
A Model Context Protocol server to connect to MongoDB databases and MongoDB Atlas Clusters.
A Model Context Protocol server providing access to Reddit public API for LLMs. This server enables LLMs to interact with Reddit's content, including browsing frontpage posts, accessing subreddit...
MCP Server implementation for Xcode integration
Connect Google Ads API directly to Claude Desktop and other MCP clients with seamless OAuth 2.0 authentication, automatic token refresh, GAQL querying, and keyword research capabilities.
A model context protocol server for TriliumNext Notes. This server provides tools to interact with your Trilium Notes instance through MCP. You can use this MCP with triliumnext-skills.
A Model Context Protocol server for Excel file manipulation
NSE & BSE Indian Stock Market Data MCP Server
Agent Skills
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
AI agents should not give project advice from vibes.
Personal memory across agents
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provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...
Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.
RPC messaging library for the VS Code extension platform
Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.
Agent Skill: Check academic paper citations for format, queryability, thematic relevance, and semantic accuracy.
Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...
The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...