Explora nuestra colección completa de servidores MCP para conectar la IA con tus herramientas favoritas.
Monitors terminal output in real-time within Claude AI conversations using the Model Context Protocol (MCP).
Scaffolds a Model Context Protocol (MCP) server with integrated web capabilities.
Provides a server-side interface for running and managing Nmap scans.
Incentivizes AI developer communities through a Solana-based protocol focused on knowledge sharing and Model Context Protocol (MCP) integration.
Provides example JSON configurations for working with an unspecified set of MCP server applications.
Encapsulates Istio MCP client/server functionality into a reusable library.
Integrates with Leonardo AI to manage image generation jobs via Model Context Protocol.
Offers a diverse collection of development tools and code samples spanning C++, C, .Net, TypeScript, and Python.
Enables AI assistants to play tic-tac-toe through a standardized Model Context Protocol interface.
Enables control of Wyze smart home devices through the Model Context Protocol (MCP) using the Wyze SDK.
Generates high-quality videos from text prompts or images using Google's Veo 3 and Gemini APIs, featuring realistic motion and audio.
Empowers AI agents to interact seamlessly with Google Drive, Sheets, and Docs, enabling advanced automation and data management within Google Workspace.
Provides a Model Context Protocol (MCP) server for Pendle Finance, delivering live yield data, DeFi simulations, and AI-powered predictions.
Provides a Retrieval-Augmented Generation (RAG) database for PDF documents, leveraging semantic chunking and vector search for intelligent content retrieval.
Provides a stateless HTTP server to access and stream official government spending data from the USASPENDING.gov API.
Enables large language model clients to execute AppleScripts, facilitating interaction with macOS applications and enhancing automation.
Enables local development and secure testing of Google Apps Script for AI-powered Google Workspace automation without cloud deployment.
Integrate Jenkins CI/CD workflows and management directly into AI assistants via the Model Context Protocol.
Performs character-level, index-based string manipulation, offering precise control over text for use cases like test code generation and data processing.
Provides context-aware virtual filesystem workspaces for AI agents via a unified namespace architecture.
Connect AI assistants to real-world tools by aggregating multiple service integrations into unified, manageable bundles accessible via a single endpoint.
Provides AI assistance for Frappe/ERPNext development, offering tools for DocType creation, bench commands, app management, and API endpoints.
Resolves academic paper citations via the Crossref API, supporting multiple output formats for integration with LLM tools.
Manages an open-source Trino control plane for Kubernetes, offering warm cluster pools, instant reservation, and AI agent integration for data platform management.
Manages spreadsheet files across multiple formats, offering both cell-level operations and a powerful DuckDB SQL engine for data manipulation.
Establishes the first native CFML MCP system, integrating an MCP+MoE+LLM agent with robust API key management and rotation for modern CFML development.
Provides a collection of web analysis APIs, enabling AI agents to access web data and pay per call with USDC on Base.
Provides an AI-readable, searchable, and cross-referenceable database of 3,241 UK statutes for legal research and compliance.
Enables time-travel debugging for Model Context Protocol (MCP) agents by recording, replaying, and interactively stepping through tool calls.
Provides AI assistants with on-demand access to the complete amCharts 5 knowledge base, including 141 documentation pages, 283 code examples, and 1,098 class API references.
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