Explora nuestra colección completa de servidores MCP para conectar la IA con tus herramientas favoritas.
Generates customizable MCP servers for Smithery with integrated Cursor IDE support.
Enables AI agents to interact with multiple EVM-compatible networks via a unified interface.
Facilitates Drupal development by providing tools for querying modules and interacting with Drush commands through the Model Context Protocol.
Provides timezone conversions and time-related operations using the Model Context Protocol.
Integrates GitLab merge request analysis with Confluence documentation via an MCP server.
Integrates Apifox API documentation with AI assistants using the Model Context Protocol (MCP).
Provides a high-performance, stateless server to access and manage Bitbucket Cloud resources via its full REST API.
Provides weather data using the Open-Meteo API, enabling AI assistants to retrieve current conditions and forecasts globally.
Generates and serves a Multi-Agent Conversation Protocol (MCP) server for a specified OpenAPI definition.
Ensures consistent data standardization across project variables, database structures, and file organizations to prevent naming conflicts.
Manages and multiplexes connections to multiple Model Context Protocol servers, enabling unified access and advanced execution modes.
Integrate GitLab repositories, issues, and merge requests into Model Context Protocol applications.
Deploy and expose a collection of interactive micro-tools as a standardized JSON-RPC API, enabling real-time integration with large language models.
Enables AI applications to access external tools and data sources through a standardized Model Context Protocol (MCP) server.
Provides a Python starter project for building a Model Context Protocol (MCP) server.
Integrates Exa AI's web content collection and real-time search capabilities into AI assistants for comprehensive knowledge management.
Provides a robust server template for implementing the Model Context Protocol using TypeScript, Express.js, and Server-Sent Events.
Enables LLMs to securely call PlacetoPay APIs for robust payment and checkout processes.
Enables AI agents to understand and interact with the Optics Design System's tokens, components, and documentation.
Provides a versatile server for rolling dice with standard notation, character stat generation, coin flips, and random selections.
Provides sandboxed, multi-version Python execution for AI agents with ephemeral dependency management.
Provides AI assistants with real-time, frequently updated knowledge on LLM and VLM pricing, benchmarks, and recommendations.
Provides AI coding assistants with instant, precise access to codebases through a persistent, parsed index, significantly reducing context window usage during code navigation.
Enables programmatic creation, reading, and updating of Feishu cloud documents for AI agents, specifically designed for Claude Code.
Facilitates AI agents' interaction with the PK Agentic WordPress plugin via its External Agent API.
Provides an enterprise AI control plane to integrate governance capabilities like spend tracking and policy enforcement with various AI clients.
Empowers AI agents with sovereign and hierarchical Nostr identities, facilitating secure and versatile interactions on the Nostr protocol.
Create adaptive learning courses using AI agents, defining content as YAML knowledge graphs, and deploy with built-in diagnostics, spaced repetition, and billing.
Enables AI agents to list open windows and capture screenshots on Linux systems, supporting X11 and Wayland/KDE Plasma.
Provides state legislative intelligence, including speaker-attributed hearing transcripts and comprehensive bill data, for AI agents and policy research.
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