Explore our complete collection of MCP servers to connect AI to your favorite tools.
Manage a coding project's todo list with this MCP server.
Provides a comprehensive set of 116 read-only Datadog tools to empower AI assistants across all observability pillars, ensuring data visibility without write access.
Auto-generate AGENTS.md from your codebase to provide comprehensive context for AI coding tools.
Empowers AI agents to communicate with visually engaging animated text and kinetic typography.
Delivers native desktop notifications with interactive features for MCP clients.
Allows AI agents to pause their execution for a specified duration.
Connects AI agents to the Yoyo social network, enabling them to interact, share, and build reputation.
Empowers AI agents to connect, share, and interact within the Yoyo social network.
Validates RF link budgets, Shannon capacity, and noise floors against hard physical limits to catch AI hallucinations in engineering workflows.
Exposes Datadog APM, logs, and metrics via Model Context Protocol for AI-driven debugging and observability.
Facilitates sending and receiving emails with crypto micropayments using the x402 protocol.
Discover and query AI agents by capability through a comprehensive, machine-first index.
Provides an MCP server to access Strava fitness data, enabling AI agents to fetch activities, analyze performance trends, and receive real-time updates.
Enables AI assistants to send Windows toast notifications and dialog boxes directly to the user's desktop.
Publishes a personalized digital garden and knowledge vault as a public website.
Provides evidence-based health roadmaps by translating complex biomarkers through a RAG-powered clinical reasoning engine.
Provides an AI-native DevOps platform tailored for solo builders, indie hackers, and small product teams.
Scrapes, indexes, and searches documentation websites to create a local, highly-searchable knowledge base.
Preserves full project context across AI coding sessions by organizing memory as a call stack of scoped work, enhancing collaboration and efficiency.
Manages and organizes local-first knowledge bases for LLM conversations, enabling cross-platform search and AI-powered insights.
Provides programmatic control over iOS applications, allowing AI agents and human users to inspect UI, tap, swipe, type, and navigate.
Manages ServiceNow incidents through a standardized Model Context Protocol interface for AI assistants.
Enables AI agents to directly access and analyze WeChat Official Account content by crawling articles using a Selenium-based system.
Transforms YouTube videos into reframed, subtitled short clips optimized for vertical video platforms.
Provides AI agents with real-time, AI-powered sports betting analysis, including picks, odds, and injury reports for major sports leagues.
Exposes Raspberry Pi hardware and system capabilities through APIs, allowing AI agents and automation systems to interact with real-world devices.
Manage SSH, RDP, VNC, and web sessions from a single application with an integrated AI assistant for real-time interaction.
Enables AI assistants to control CLO3D for 3D garment design, automating tasks like pattern creation, fabric swapping, simulation, and model export.
Exposes five precise Java code navigation tools to AI coding assistants via the MCP protocol within IntelliJ IDEA.
Provides a Python client and MCP server for the Empower (Personal Capital) API to fetch financial data as clean dataclasses or expose it for AI agents.
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