Top 5 Sources for finding MCP Servers

Paras Madan

19 Mar 2025 — 3 min read

Anthropic a few days back released Model Context Protocol, a new standard for connecting AI system with external system that taking the AI World at storm so much that everyone on Twitter and Reddit seems to be talking about it.

This article explores the top 5 MCP ecosystem players that are shaping the industry. Together, these components offer developers a powerful toolkit for building AI-driven applications.

Understanding the Model Context Protocol (MCP)

MCP acts as a universal interface—think of it as a connector that links LLMs to external systems like databases, APIs, and file systems. It operates on a straightforward client-server model:

MCP Clients: Applications or tools that initiate connections to MCP servers, such as AI desktops or custom development environments.
MCP Servers: Lightweight programs that expose specific capabilities, like file access or API interactions, through a consistent interface.
Transport Mechanism: Primarily relies on standard input/output, with plans to support HTTP for broader compatibility.

MCP servers deliver three main types of functionality: resources (data like files or API responses), tools (callable functions approved by users), and prompts (predefined templates for specific tasks). As of March 19, 2025, MCP is gaining momentum, supported by a growing ecosystem of tools and integrations.

Top MCP Server Repositories

Here are the top 5 MCP Server Repositories having a list of servers:

Portkey’s MCP Servers Directory

Portkey, an AI platform specializing in configuration management and analytics, hosts a detailed directory of MCP servers. This resource catalogs over 40 open-source servers, making it an essential starting point for developers.

The directory includes options like a GitHub server for repository management, a Brave Search server for web queries, a Portkey Admin server for AI configuration workflows and much more . Designed with Claude Desktop users in mind, it simplifies server discovery and setup, though some entries remain experimental and require caution.

MCP.so: A Community Hub

The MCP.so website serves as a central hub for the MCP Servers project, offering a curated list of servers and links to community resources. It emphasizes usability, spotlighting servers for browser automation, cloud service integrations, and more.

While less detailed than other sources, MCP.so provides an accessible entry point for exploring the protocol, syncing closely with community-driven updates from related repositories.

Composio: Complementary Tooling

Composio’s MCP offerings, accessible via its dedicated portal, provide a managed hosting platform for MCP servers, complete with built-in authentication, scalability, and security.

It supports over 250 fully managed servers across categories like productivity (e.g., Google Sheets, Notion), development (e.g., GitHub), and communication (e.g., Slack, Gmail).

Ideal for enterprise use or custom deployments, Composio simplifies integration by handling authentication protocols like OAuth and API keys, making it a powerful complement to MCP’s DIY approach.

Glama, an open-source, multi-modal AI client, not only supports MCP but also hosts an extensive server directory. This directory lists production-ready and experimental servers, such as those for cryptocurrency analysis via CoinCap, web accessibility checks, and Figma API integration.

With features like real-time price data, accessibility analysis, and design file access, Glama’s directory and client capabilities cater to developers building context-aware AI applications across text, images, and beyond.

The Official MCP Servers Repository

The GitHub Repository maintained by the Anthropic-backed MCP team is the definitive source for server implementations. It includes reference servers for filesystem access, database queries, and GitHub interactions, alongside SDKs for building custom servers.

Community contributions expand its scope, adding support for services like Slack and Google Drive. This repository is the backbone of MCP’s development, encouraging collaboration and innovation.

Technical Insights and Future Potential

MCP’s current design, centered on local transport, suits desktop applications but limits web-based use. Upcoming support for HTTP transport could unlock broader adoption. The protocol’s open-source nature and reliance on a widely compatible standard ensure flexibility, though its success depends on several factors:

Adoption: Expanding beyond current clients like Claude Desktop and Glama will drive its reach.
Security: Robust access controls are critical, especially for locally run servers, and remain a priority.
Scalability: Future support for remote servers could make MCP viable for enterprise-scale applications.

Conclusion

The Model Context Protocol ecosystem—spanning Portkey’s directory, MCP.so’s hub, Composio’s tooling, Glama’s client, and the official GitHub repository—provides a solid foundation for connecting LLMs to external systems.

Whether automating web tasks, querying databases, or integrating cloud services, MCP offers a standardized, extensible solution. Developers eager to enhance their AI workflows should dive into these resources and consider contributing to MCP’s evolving landscape.