- OpenStack MCP + Agent PoC
OpenStack MCP + Agent PoC
Overview
what is OpenStack MCP + Agent PoC?
OpenStack MCP + Agent PoC is a proof of concept project that demonstrates how to run an OpenStack MCP server along with a basic agent program to interact with it using a large language model (LLM).
how to use OpenStack MCP + Agent PoC?
To use this project, clone the repository, configure the MCP server with your OpenStack deployment details, and run both the MCP server and the agent in separate terminal windows. Follow the QuickStart guide for detailed instructions.
key features of OpenStack MCP + Agent PoC?
- Integration with OpenStack components using OpenAPI specifications.
- Ability to run multiple MCP servers for different OpenStack components.
- Interaction with MCP servers through an LLM for querying and managing OpenStack resources.
use cases of OpenStack MCP + Agent PoC?
- Testing OpenStack deployments with a conversational interface.
- Automating queries about OpenStack resources and configurations.
- Demonstrating the capabilities of LLMs in managing cloud infrastructure.
FAQ from OpenStack MCP + Agent PoC?
- What is required to run this project?
You need access to an OpenStack deployment and an LLM, along with the
uvpackage manager.
- Can I customize the MCP server configuration?
Yes, you can edit the
servers.yamlfile to configure the MCP server according to your OpenStack cluster.
- How does the agent interact with the MCP server?
The agent sends queries to the MCP server and receives responses based on the OpenStack API.
Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
AkrogStar
0Language
PythonLicense
-Category
developer-tools
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