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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