MCP.so favicon

MCP.so
The largest collection of MCP Servers

MCP.so
Free

Home: https://mcp.so

Social:
Visit MCP.so

What is 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.

Features

  • 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

  • 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.

FAQs

  • What is MCP (Model Context Protocol)?
    MCP is an open-source protocol developed by Anthropic that enables AI systems like Claude to securely connect with various data sources. It provides a universal standard for AI assistants to access external data, tools, and prompts through a client-server architecture.
  • What are MCP Servers?
    MCP Servers are systems that provide context, tools, and prompts to AI clients. They can expose data sources like files, documents, databases, and API integrations, allowing AI assistants to access real-time information in a secure way.
  • How do MCP Servers work?
    MCP Servers work through a simple client-server architecture. They expose data and tools through a standardized protocol, maintaining secure 1:1 connections with clients inside host applications like Claude Desktop.
  • Are MCP Servers secure?
    Yes, security is built into the MCP protocol. Servers control their own resources, there's no need to share API keys with LLM providers, and the system maintains clear boundaries. Each server manages its own authentication and access control.
  • How can I submit my MCP Server to mcp.so?
    You can submit your MCP Server by creating a new issue in our GitHub repository. Click the 'Submit' button in the navigation bar or visit our GitHub issues page directly. Please provide details about your server including its name, description, features, and connection information.

Related Queries

Helpful for people in the following professions

MCP.so Uptime Monitor

Average Uptime

96.32%

Average Response Time

2870.07 ms

Last 30 Days

View all

Related Tools:

View all Alternatives

Blogs:

  • Best AI tools for Product Photography

    Best AI tools for Product Photography

    Explore top AI tools that can elevate your product photography, helping you enhance images, streamline workflows, and create professional visuals with ease.

  • Best AI tools for trip planning

    Best AI tools for trip planning

    These tools analyze user preferences, budget constraints, and destination details to provide personalized itineraries, suggest optimal routes, recommend accommodations, and even offer real-time updates on weather and local events.

  • Best AI tools for recruiters

    Best AI tools for recruiters

    These tools use advanced algorithms and machine learning to automate tasks such as resume screening, candidate matching, and predictive analytics. By analyzing vast amounts of data quickly and efficiently, AI tools help recruiters make data-driven decisions, save time, and identify the best candidates for open positions.

Comparisons:

Didn't find tool you were looking for?

Be as detailed as possible for better results