Explora nuestra colección completa de servidores MCP para conectar la IA con tus herramientas favoritas.
Provides scalable, fast, and disk-friendly vector search capabilities directly within PostgreSQL.
Automates AI-powered workflows directly within your codebase.
Orchestrates components within a lightweight, high-performance rule engine framework for Go applications.
Simplifies the development, running, evaluation, and orchestration of LLM-based agents using YAML and a CLI.
Scans Model Context Protocol (MCP) servers for common security vulnerabilities like prompt injections and tool poisoning.
Connects Language Servers to Model Context Protocol (MCP) clients, providing advanced code analysis and manipulation capabilities to LLMs.
Manage Model Context Protocol servers with ease.
Enables creating, editing, and manipulating PowerPoint presentations through the Model Context Protocol.
Enables interaction with iOS simulators for tasks like UI inspection, UI interaction, and screenshot capture.
Provides a secure sandbox environment to test payloads against detection mechanisms before deployment.
Demonstrates security vulnerabilities in Model Context Protocol (MCP) implementations for educational purposes.
Connects Claude Desktop to read and search your Obsidian vault's Markdown notes.
Automates the evaluation and debugging of web applications using a browser-powered agent directly within your code editor.
Autonomously evaluates web applications using LLM-powered agents within a code editor.
Enables collaboration between small, on-device LLMs and larger cloud-based models for cost-efficient language processing.
Provides a high-performance, resilient AI gateway for connecting to multiple large language model providers through a single, unified API.
Connects to a Kubernetes cluster and enables management via commands.
Converts existing RESTful and gRPC services into MCP-Server compatible services without infrastructure changes.
Compose data sources into a unified graph using this GraphQL Federation platform.
Connects AI agents with Azure services, enabling exploration, querying, and management of Azure resources.
Provides a robust and scalable operating system foundation for building, deploying, and managing intelligent AI agents.
Auto-loads databases in VS Code and provides affordances to aid development and debugging.
Enables AI assistants to interact with the Godot game engine by launching the editor, running projects, and capturing debug output.
Enables developers to write Model Context Protocol servers and clients in Go with minimal code.
Fetches and converts Deepwiki content to Markdown for use in code editors and other MCP-compatible clients.
Connects MCP clients that only support local (stdio) servers to a remote MCP server, enabling authentication support.
Enables AI assistants to interact with the Unity Editor for game development workflows.
Enables interaction with Text to Speech and video/image generation APIs through the Model Context Protocol (MCP).
Enables AI assistants to access and search official Microsoft documentation in real-time.
Connects language models to a Qdrant vector database for storing and retrieving information.
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