MCP Servers
71,476 MCP servers for AI apps. Filter by category, badge and popularity.
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MCP server that fuses 2–5 AI agents into one unified mind. Features 7 tools: esse_quick, esse_fuse, esse_execute, esse_list_agents, esse_list_sessions, esse_memory, esse_defuse. Supports Venice AI, OpenAI, and Anthropic. One AI. Many agents. Fused.
An MCP server for AI agents that provides access to curated financial product data. Search, compare, and get personalized recommendations across savings accounts, credit cards, personal loans, budgeting apps, and earning products. 21 tools, 54+ products across 11 categories.
A Spring Boot implementation of the Model Context Protocol (MCP) that enables AI agents like GitHub Copilot to access weather data. Demonstrates building a custom MCP server that connects AI models to weather APIs through standardised tools, complete with VS Code integration example.
WellPulse MCP is a plug-and-play intelligence layer that turns raw wellbeing data into clear, actionable insights for AI systems. With a single integration, it connects your copilots, agents, or dashboards to both trusted public benchmarks (like CDC PLACES) and your organization's
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
