My MCP Servers
by nengelmann
This repository provides a collection of Model Context Protocol (MCP) servers, which are designed to enable standardized integration and communication between tools and agents. MCP servers act as wrappers around tools, making them readily usable by AI applications.
Last updated: N/A
What is My MCP Servers?
MCP servers are wrappers around tools that make them instantly usable by AI applications, enabling standardized integration and communication using the Model Context Protocol.
How to use My MCP Servers?
To use an MCP server, you typically need to set up the server structure, install dependencies, and run it locally. The provided documentation and examples offer detailed instructions on creating, running, and monitoring MCP servers.
Key features of My MCP Servers
Standardized integration
Communication between tools and agents
Easy to use with AI applications
Wrappers around existing tools
Use cases of My MCP Servers
Providing weather data to AI agents
Adding notes to a system via AI
Integrating various tools into AI workflows
Enabling AI applications to access external resources
FAQ from My MCP Servers
What is MCP?
What is MCP?
The Model Context Protocol (MCP) serves tools and agents in the same way that REST APIs serve applications. It enables standardized integration and communication.
What are MCP Servers?
What are MCP Servers?
MCP Servers are tools wrapped in a way that makes them instantly usable by AI applications.
What are MCP Clients?
What are MCP Clients?
MCP Clients are agents and applications that consume MCP Servers, like OpenWebUI.
How do I create a new MCP server?
How do I create a new MCP server?
Use the uvx create-mcp-server command to set up the structure, then install dependencies using uv sync.
How do I run an MCP server locally?
How do I run an MCP server locally?
Navigate to the server's directory and use the command uv run $MY_SERVER.