Configure the server with AIMCP

Model Context Protocol (MCP) :: Spring AI Reference

Start with our Getting Started with MCP guide for a quick introduction and hands-on examples. The Model Context Protocol (MCP) is a standardized protocol that enables AI models to interact with

mcp-terminal

MCP Terminal is a standardized interface server that enables AI assistants to execute terminal commands and retrieve output results through the Model Context Protocol (MCP).

AI-MCP Framework

Developer tools for building AI-integrated applications with the AI-MCP Framework (AIMF).

AIM MCP

Includes setup instructions, configuration examples, and usage documentation.

AI MCP Portal — MCP Registry

Overview AI MCP Portal is a web-based platform designed for the aimcp community to present relevant information in a structured and user-friendly manner. To use the AI MCP Portal, simply visit the

Model Context Protocol servers

The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data

Model Context Protocol on BIG-IP | BIG-IP Documentation

Note: If you add the aimcp profile to the virtual server, you must also add an MCP Persistence Profile in the Resources tab. To configure other optional values, select the Advanced

Client | Pydantic Docs

Instead of creating MCP server instances individually in code, you can load multiple servers from a JSON configuration file using load_mcp_servers(). This is particularly useful when you need to

airulermcp · PyPI

AIMCP is an MCP (Model Context Protocol) server that enables teams to distribute MCP tool specifications from GitLab repositories to IDEs like Cursor and VS Code.

aimcp | Enterprise MCP Control Plane

Expose local stdio MCP servers (like GitHub or Filesystem) over the network via scalable HTTP and WebSocket endpoints. Built on modern, asynchronous Python foundations. Delivering extreme

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