AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Enables AI agents to query data stored in Axiom using the Axiom Processing Language (APL).
Guides systematic problem-solving by implementing Claude Shannon's methodology of problem definition, modeling, and validation.
Enables language models to leverage AI-powered web scraping capabilities with enterprise-grade reliability.
Retrieves text and HTML content from bot-protected websites for AI assistant consumption.
Integrates Neo4j graph databases with Claude Desktop, enabling natural language interactions.
Enables communication between Ashra and applications supporting the Model Context Protocol.
Provides persistent memory capabilities for Claude by implementing an MCP server with tiered memory architecture and semantic search.
Implements the Model Context Protocol (MCP) as a practical embodiment of the Personal Intelligence Framework (PIF).
Enables AI language models to interact with and analyze YouTube content through a standardized Model Context Protocol (MCP) interface.
Enables persistent memory for Claude by utilizing a local knowledge graph to store and retrieve information.
Augments AI responses with relevant documentation context through vector search.
Executes PowerShell scripts provided as strings and returns the output.
Facilitates Model Context Protocol (MCP) communication for container runtimes such as Podman and Docker.
Provides a complete set of Figma API methods through the Model Context Protocol.
Integrates Todoist with AI assistants like Claude for natural language task management.
Delivers jobs based on specified needs via a simple MCP server.
Quickly scaffolds Model Context Protocol server and client applications using TypeScript and modern tooling.
Tracks files semantically, enabling AI-powered search and retrieval.
Enables AI assistants to maintain project context across sessions using a file-based memory bank.
Safely executes command-line tools through the Model Context Protocol (MCP).
Enhances AI reasoning with structured thinking, persistent memory, and responsible tool usage.
Enables AI assistants to execute shell commands securely and auditably through the Model Context Protocol.
Optimizes interactions with Xcode command-line tools by intelligently summarizing outputs, caching results, and providing progressive disclosure to significantly reduce large language model token usage.
Automates, debugs, and observes Electron applications through AI-powered capabilities and Chrome DevTools Protocol integration.
Provides a comprehensive multimodal AI toolkit, integrating powerful capabilities from Zhipu GLM and Pollinations.AI for advanced media analysis and generation.
Enables AI assistants to control real web browsers, including Chrome, Firefox, and Opera, using your existing profiles and browser extensions.
Automates WeChat Mini Program developer tooling through a FastMCP server, enabling programmatic control and inspection.
Empower AI assistants with deep, semantic understanding of your codebase for advanced navigation, impact analysis, and architectural insights.
Manages MCP skill versions, detecting updates, facilitating A/B testing, and intelligently merging custom changes with integrated security scanning.
Empower AI assistants like Claude Code and OpenClaw with local GPU image generation, a vast prompt library, and multi-direction parallel output capabilities.
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