Descubre nuestra colección curada de servidores MCP para developer tools. Explora 11006 servidores y encuentra los MCP perfectos para tus necesidades.
Integrate and leverage Google's powerful Gemini multimodal AI models for diverse generative and analytical applications.
Provides a basic server structure for running local tools with Cursor, Claude, and others using the MCP standard.
Provides a comprehensive Model Context Protocol (MCP) server for Zero-Vector's hybrid vector-graph persona and memory management system with advanced LangGraph workflow capabilities.
Transforms SAP S/4HANA and ECC systems into conversational AI interfaces by exposing OData services as dynamic tools for natural language interactions.
Serves Eldora UI components via the ModelContextProtocol for seamless integration into supported IDEs and AI clients.
Transform GitHub repositories into personalized starter code templates using AI-powered code discovery.
Enables Large Language Models to manage Java applications using the JMX API via Jolokia.
Analyzes tasks and recommends appropriate tools by integrating with Large Language Models.
Integrates a Model Context Protocol (MCP) server directly into Next.js applications using the Vercel MCP Adapter.
Manages Todoist tasks, projects, labels, and productivity workflows through an MCP server.
Provides advanced vector store operations, document search, and information retrieval through a Model Context Protocol (MCP) interface.
Deploys a Model Context Protocol (MCP) server for integration with AI models like Microsoft Copilot Studio.
Facilitates multi-language translation and text-to-speech using an MCP architecture.
Integrates Jira with AI assistants, enabling access to issues, projects, and JQL searches for streamlined task management.
Automates responsible AI development and documentation by scanning projects, providing suggestions, and analyzing models.
Enables Large Language Models (LLMs) to query live Google Contacts data via a Model Context Protocol (MCP) interface.
Serves random numbers through a straightforward REST API endpoint.
Implements a flexible server supporting the Model Context Protocol (MCP).
Connects Large Language Models (LLMs) to live Google Directory data via a SQL interface, enabling natural language queries.
Provides an MCP server built on top of Nasdanika AI and CLI capabilities.
Scroll for more results...