AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Connects Claude Desktop to read and search your Obsidian vault's Markdown notes.
Connects to a Kubernetes cluster and enables management via commands.
Connects language models to a Qdrant vector database for storing and retrieving information.
Enables programmatic interaction with GitLab repositories and resources via a Model Context Protocol server.
Connects to the Perplexity API, enabling real-time, web-wide search within the Model Context Protocol ecosystem.
Enables collaboration between small, on-device LLMs and larger cloud-based models for cost-efficient language processing.
Indexes and searches third-party library documentation using semantic splitting and vector embeddings.
Searches and downloads academic papers from multiple sources like arXiv, PubMed, and bioRxiv.
Enables interaction with Text to Speech and audio processing APIs for MCP clients.
Enables interaction with Text to Speech and video/image generation APIs through the Model Context Protocol (MCP).
Provides a user interface for Nx and Lerna monorepos, enhancing developer workflow and AI integration within code editors.
Simplifies the development, running, evaluation, and orchestration of LLM-based agents using YAML and a CLI.
Auto-loads databases in VS Code and provides affordances to aid development and debugging.
Facilitates the integration of AI models into daily workflows through agent-based frameworks and command-line tools.
Fetches and converts Deepwiki content to Markdown for use in code editors and other MCP-compatible clients.
Scans Model Context Protocol (MCP) servers for common security vulnerabilities like prompt injections and tool poisoning.
Connects MCP clients that only support local (stdio) servers to a remote MCP server, enabling authentication support.
Demonstrates security vulnerabilities in Model Context Protocol (MCP) implementations for educational purposes.
Enables advanced automation and interaction capabilities for Infrastructure as Code (IaC) development through integration with Terraform Registry APIs.
Provides a secure sandbox environment to test payloads against detection mechanisms before deployment.
Offers a comprehensive production toolkit for large language models, providing observability, prompt management, and evaluation capabilities to enhance LLM development.
Provides a modular and extensible Python framework for building and managing Auto-GPT agents.
Automates AI-powered workflows directly within your codebase.
Enhance LaTeX academic papers with an AI-powered writing assistant offering intelligent suggestions and seamless Overleaf integration.
Enables AI chatbots to directly search, explore, and analyze datasets from the French national Open Data platform, data.gouv.fr, through natural language conversations.
Democratizes AI scientists by providing an ecosystem for creating powerful research partners from any large language model.
Generates secure, full-featured REST and GraphQL endpoints for various databases, enabling CRUD operations across multiple environments.
Empowers Large Language Models with a production-ready SwiftUI component library and full-stack recipes for building real iOS applications.
Integrates over 300 tools from 39 public Brazilian APIs, enabling AI agents to access government data across various sectors like economy, legislature, and transparency.
Provides modern Kubernetes visibility through topology, event timeline, and service traffic analysis, alongside comprehensive resource browsing and Helm management.
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