MCP Registry vs MCP.so Detailed comparison features, price

MCP Registry

MCP Registry serves as a centralized platform for discovering and utilizing Model Context Protocol (MCP) servers. These servers act as bridges, allowing large language models (LLMs) like Claude to interact directly with a wide array of external tools, APIs, and data sources.

By integrating these MCP servers, AI models gain expanded functionalities beyond their core training data. The registry features servers across various categories, including developer tools, databases, communication platforms, search engines, and more, effectively broadening the scope of tasks AI assistants can perform.

MCP.so

MCP.so serves as a comprehensive, community-driven platform dedicated to collecting and organizing third-party MCP (Model Context Protocol) Servers and Clients. MCP is an open-source protocol enabling AI systems, such as Claude, to securely connect with diverse data sources, tools, and prompts through a standardized client-server architecture. This platform acts as a central directory for users seeking to enhance their AI applications by leveraging these external resources.

The platform features a wide array of MCP Servers, which provide context, tools, and prompts by exposing data sources like files, documents, databases, and API integrations. It also lists MCP Clients, applications that utilize these servers for AI interactions. MCP.so facilitates the discovery and sharing of these components, allowing users to find suitable servers and clients for integrating real-time information and functionalities securely into their AI workflows, including integrations with applications like Claude Desktop.

Pricing

MCP Registry Pricing

Free

MCP Registry offers Free pricing .

MCP.so Pricing

Free

MCP.so offers Free pricing .

Features

MCP Registry

Centralized Registry: Discover and manage MCP servers in one place.
AI Capability Expansion: Enables LLMs to interact with external tools and services.
Standardized Protocol: Utilizes Model Context Protocol for seamless integration.
Diverse Server Categories: Includes servers for development, search, communication, data, and more.

MCP.so

Extensive MCP Server Directory: Browse the largest collection of third-party MCP Servers.
MCP Client Showcase: Discover various MCP Clients for AI interactions.
Community-Driven Platform: Relies on community contributions for server and client listings.
Organized Discovery: Servers and clients categorized and tagged for easy searching.
MCP Protocol Information: Provides details and FAQs about the Model Context Protocol.
Easy Submission Process: Submit new MCP Servers or Clients via GitHub.

Use Cases

MCP Registry Use Cases

Enhancing AI assistants with real-time web search capabilities.
Enabling LLMs to interact with databases (e.g., SQLite, PostgreSQL, Redis).
Allowing AI models to manage code repositories (e.g., GitHub, GitLab).
Integrating AI with communication platforms (e.g., Slack, Email).
Connecting LLMs to developer tools and APIs.
Automating workflows by connecting AI to services like Zapier.

MCP.so Use Cases

Discovering MCP servers for specific AI integrations (e.g., database access, API interaction, web scraping).
Finding compatible MCP clients for different AI models and development environments.
Learning about the Model Context Protocol and its applications.
Facilitating the connection between AI assistants (like Claude) and external tools/data.
Sharing custom-built MCP servers and clients with the AI developer community.