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Frequently Asked Questions

About MCP

What is Model Context Protocol (MCP)?

Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It allows LLMs to safely access external data sources, tools, and services through a standardized interface.

What is MCPH?

MCPH is a platform for discovering, sharing, and using MCP implementations. It serves as a central registry for MCP servers that enable AI models to interact with various data sources and tools.

Which AI models support MCP?

MCP is designed to work with any AI platform that implements the protocol. Currently, it's supported by Anthropic's Claude and various open-source AI frameworks. The list of supported platforms is growing.

Using MCPs

How do I use an MCP with my AI application?

To use an MCP, you need to:

  1. Choose a compatible MCP from MCPH
  2. Add the MCP endpoint to your AI system
  3. Configure your AI model to utilize the MCP

See our Getting Started guide for details.

Can I use multiple MCPs with a single AI application?

Yes, you can connect multiple MCPs to your AI application, allowing it to access various capabilities and data sources simultaneously.

Creating MCPs

How do I publish my MCP to MCPH?

To publish your MCP:

  1. Create an account on MCPH
  2. Prepare your MCP with proper documentation
  3. Use our web interface or API to submit it

What capabilities can an MCP provide?

MCPs can provide various capabilities, including:

  • Access to databases and data stores
  • Web API integrations
  • File system access
  • Domain-specific tools and calculations