Best MCP Platforms You Should Know to Supercharge Your AI Agents
Joy·
In the rapidly evolving world of AI, connecting your agents and language models to the right external tools can make all the difference. That's where Model Context Protocol (MCP) comes in. MCP is quickly becoming the backbone for building smarter, more capable AI systems by standardizing how models interact with external services. In this blog, we'll explore the best MCP platforms available today that can supercharge your AI agents, boost their functionality, and unlock entirely new possibilities. Whether you're an AI developer, a researcher, or just curious about the next frontier of AI infrastructure, this list is your perfect starting point.
A registry for MCP apps and servers.
Smithery helps developers register, discover, and manage MCP-compatible servers and applications, making it easier for LLMs and agents to integrate new capabilities.
[Visit: https://smithery.ai/]
A directory to browse and install MCP servers.
Think of it as an app store for MCP. Developers can quickly explore available servers and easily integrate them into their AI agents and applications.
[Visit: https://mcpinstall.com/]
Federated MCP server implementations.
Composio’s MCP platform helps developers connect their LLMs, AI agents, and IDEs to over 250 fully managed MCP servers, enabling faster and more reliable integrations.
[Visit: https://mcp.composio.dev/]
A comprehensive MCP server directory.
MCP AI offers a well-organized list of MCP servers covering databases, image generation, file management, and more — all in one place for easy discovery.
[Visit: https://mcpai.dev/]
A directory built for Cursor users.
Cursor Directory lists MCP servers optimized for the Cursor AI IDE environment, allowing users to extend their coding agents with powerful external tools.
[Visit: https://cursor.directory/]
A simple, lightweight MCP directory.
MCP Dirs provides a minimalistic interface for quickly browsing MCP servers, focusing on ease of use and speed for developers who just want a quick lookup.
[Visit: https://mcpdirs.com/]
Easily turn your API into an MCP server.
MCPify allows developers to wrap their APIs and expose them as MCP servers without complex setup, making it simple to join the growing MCP ecosystem.
[Visit: https://mcpify.ai/]
A curated list of active MCP servers.
PulseMCP offers a server directory categorized by functionality, helping users find the right MCP server for their AI workflows.
[Visit: https://www.pulsemcp.com/servers]
A list of clients supporting MCP.
This section of PulseMCP focuses on client-side tools and agents that are compatible with MCP servers, enabling more seamless integrations.
[Visit: https://www.pulsemcp.com/clients]
Community-driven MCP server directory.
MCPServers.org is an open directory where users and developers contribute to keeping the MCP server list updated and diverse.
[Visit: mcpservers.org]
Automate workflows with MCP and Zapier.
Zapier now supports MCP, letting developers connect their AI agents to thousands of apps through ready-to-use automations.
[Visit: https://zapier.com/mcp]
A collection of MCP servers by Glama AI.
Glama’s MCP directory focuses on providing reliable, high-quality MCP servers, particularly for creative and media-related tasks.
[Visit: https://glama.ai/mcp/servers]
Secure and scalable MCP server access.
Portkey’s platform offers managed MCP servers with a focus on reliability, security, and scaling support for AI agents and large models.
[Visit: https://portkey.ai/mcp-servers]
The MCP ecosystem is expanding rapidly, opening up exciting new possibilities for AI developers and builders. By tapping into these platforms, you can supercharge your agents, extend their capabilities, and create richer, more dynamic AI experiences. Whether you're just starting out or looking to scale your AI projects, these MCP tools offer the perfect foundation to build smarter, more connected systems. Dive in, explore, and start shaping the future of AI today.