4/17/2025

The Best Frameworks & Libraries for Developing MCP Servers Efficiently

In the fascinating world of AI, the ability to develop efficient and effective servers using the Model Context Protocol (MCP) allows developers to create fluid interactions between AI and various data sources. But to wield the full power of MCP, you’ll need the best tools in your toolkit! In this post, we’ll dive deep into the best frameworks and libraries available to develop MCP servers quickly & efficiently.

What is the Model Context Protocol (MCP)?

Before we jump in, it’s essential to understand what MCP is. The Model Context Protocol allows AI models to interact seamlessly with local and remote data sources. MCP provides a standardized way to build connections between AI models and their environment, making it much more effective for developers to create intelligent applications.

To build efficient MCP servers, it’s crucial to leverage the right frameworks & libraries. So, what’s out there? Let's explore some of the top contenders!

1. MCP.so

First, let’s talk about MCP.so. This library boasts a stunningly large index of 3,056 MCP servers, making it a robust resource. MCP.so categorizes its offerings into:

MCP Servers
MCP Clients
MCP Feed
- (which showcases newly listed MCPs)

Why Use MCP.so? It's the largest collection of MCP servers available, giving you direct access to GitHub repositories and allowing users to submit their MCP servers. If you’re looking to get started quickly, this resource can be a lifesaver!

2. Smithery

Next up, we have Smithery, which has indexed 2,211 MCP servers too. The user experience here is smooth as it provides a straightforward method of finding & installing MCP tools. Here’s how to get started with Smithery:

Use the search feature to find the desired MCP tool.
Copy the Install Command and run it.
Access setup instructions via the GitHub icon next to each tool.

Smithery doesn’t just relist servers; it simplifies your workflow and lets you focus on building your applications rather than getting lost in the weeds of configuration.

3. PulseMCP

Then there’s PulseMCP, which, unlike Smithery, focuses on indexing MCP clients and offers valuable insights. PulseMCP currently lists 1,704 servers and provides regularly updated news about MCP-related developments. It ensures you stay on top of the latest trends, like the recent Manus Blender MCP, which integrates 3D modeling into your workflows.

Current MCP Clients Listed in PulseMCP includes popular frameworks such as Claude Desktop, Cursor, and Windsurf, making it a must-visit resource for developers.

4. Awesome MCP Servers

Another fantastic resource is the Awesome MCP Servers GitHub repository. This curated list directly links to production-ready, experimental MCP servers suited for extending AI capabilities with file access, database connections, etc. With solid documentation and a broad collection supplied by the community, it serves as a valuable reference for developers.

5. Glama MCP

Glama originally served as a multi-model integration tool, but it's recently expanded to include MCP servers. It features a growing index of 1,617 MCP servers, structured to support various functions within the MCP ecosystem. The interface is easy to navigate, making it convenient for developers to find what they need quickly.

6. Cursor Directory

Don't forget the Cursor Directory, formerly known as the Cursor Rules Project Rules. Hosting around 1,800 MCP servers, the cursor directory is designed to help you find the tools and frameworks relevant to your projects without any hassle. It has been a game changer for developers seeking robust server implementations.

7. Arsturn - Create Custom AI Chatbots

With all these amazing resources out there, you might wonder how to integrate them with your current projects. That’s where Arsturn shines!

Arsturn offers an intuitive platform for creating custom AI chatbots using ChatGPT. With Arsturn, you can enhance audience engagement & streamline operations by building chatbots tailored to your brand in no time. Here’s a quick look at why you should consider using Arsturn:

Seamless Integrations: Easily integrate the chatbots with your existing platforms & data sources using MCP tools.
User-Friendly: With no coding required, Arsturn allows even the most technophobic businesses to jump into AI quickly.
Comprehensive Training: Train your chatbots with various data formats, ensuring they provide the best responses to your audience.

Imagine having your chatbot ready on your website that not only answers FAQs but also engages with your audience deeply through personalized conversations based on the context!

Don’t miss out — join thousands already using Arsturn to boost engagement and conversions!

Prototyping and Testing

When developing MCP servers, it’s also important to have appropriate frameworks in your stack that support prototyping & testing. A few recommendations include:

Spring AI: For developers comfortable with Spring, this framework is greatly enhanced for developing AI-based applications and makes managing MCP Servers easier.
Testcontainers: A library for creating lightweight, throwaway instances of your server setup during tests, automating the right configuration.

Conclusion & Final Thoughts

When the mission is creating efficient MCP servers, the frameworks & libraries listed above will catapult you ahead of the competition. Optimizing your interactions with AI and data sources will significantly depend on the stack you choose. With the right mix of tools—from MCP.so to Arsturn—you'll be well-equipped to develop sleek, powerful applications that are easy to manage & scale.

So, jump right in, find the frameworks that resonate with your goals, and start building the next generation of intelligent applications! Don’t forget to check out Arsturn to create your very own customized chatbots that keep your audience engaged and informed—all without writing a single line of code!

Finding the RIGHT tools, makes the journey a BREEZE, paving the way for future innovations in the ever-evolving landscape of AI.