About
A Model Context Protocol (MCP) server that enables seamless integration with IBM Cloud services, providing standardized APIs for cloud resource management and automation.
Capabilities
Overview
The “Mcp Server Ibmcloud” project is currently a placeholder that redirects to the official IBM Cloud MCP Server repository. As such, no detailed documentation or feature list is available within this README itself.
The original repository intended to provide an IBM‑Cloud‑hosted implementation of the Model Context Protocol (MCP), a protocol that enables AI assistants such as Claude to interact seamlessly with external tools, data sources, and custom logic. While the README does not contain specific details about the server’s capabilities or architecture, it points developers to the official IBM Cloud MCP Server project where comprehensive information can be found.
If you are looking for a robust, cloud‑native MCP server that supports:
- Resource discovery – exposing APIs and data endpoints to AI clients
- Tool integration – allowing the assistant to invoke custom functions or services
- Prompt management – storing and retrieving context‑specific prompts for dynamic conversations
- Sampling controls – adjusting generation parameters on the fly
you should consult the linked IBM Cloud repository. It will provide the full specification, configuration options, and deployment guidelines needed to integrate MCP with your AI workflows.
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MCP for Beginners
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