Openstack MCP Server
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Provides API interfaces to query OpenStack compute, storage, network, and image resources via MCP protocol, supporting real‑time status, flexible filtering, and multiple detail levels.
Openstack MCP Server Overview
What is Openstack MCP Server about?
Offers a lightweight asynchronous HTTP service that translates OpenStack SDK calls into MCP‑compatible responses, enabling large language models or other MCP clients to retrieve up‑to‑date cloud resource information.
How to use Openstack MCP Server?
- Install the package:
pip install openstack-mcp-server - Start the server with required OpenStack credentials:
The MCP endpoint becomesopenstack-mcp-server \ --port 8000 \ --log-level INFO \ --auth-url 'http://<OpenStack-API-Endpoint>:5000/v3' \ --username '<OpenStack-Admin-User>' \ --password '<OpenStack-Admin-Password>'http://localhost:8000/openstack. - Call MCP tools (e.g.,
get_instances) from an AI client or any MCP‑compatible tool, passing JSON arguments such as filter, limit, and detail_level.
Key features of Openstack MCP Server
- Real‑time queries of OpenStack resources (VMs, volumes, networks, images, etc.).
- Multi‑dimensional filtering by name, ID, or custom conditions.
- Three detail levels: basic, detailed, full.
- Asynchronous handling with Starlette/Uvicorn for high throughput.
- Optional JSON response mode or Server‑Sent Events (SSE) streaming for incremental feedback.
- Simple extensibility: add new resource tools by extending
list_toolsandcall_toolin the server code.
Use cases of Openstack MCP Server
- AI‑assisted cloud operations: LLMs can ask for current VM inventory, storage usage, or network topology through MCP calls.
- Automated monitoring dashboards: Front‑end apps consume SSE streams to display live resource states.
- DevOps tooling: Scripts invoke MCP endpoints to fetch filtered resource lists for batch processing or cleanup.
- Educational labs: Students interact with a mock OpenStack environment via natural‑language prompts.
FAQ from the Openstack MCP Server
Q: Do I need Docker to run the server? A: No. The server runs directly with Python after installing the package. Docker is only shown as an optional test harness.
Q: Can I get responses in plain JSON instead of SSE?
A: Yes. Use the --json-response flag to disable streaming.
Q: Which OpenStack version is supported? A: Any version that the official OpenStack SDK (python-openstackclient) can communicate with, typically Pike and later.
Q: How do I add a new resource query tool?
A: Implement the acquisition function in server.py, register its name in list_tools, and handle its logic in call_tool.
Q: Is there an authentication mechanism for the MCP endpoint? A: Authentication is handled by the underlying OpenStack SDK using the credentials supplied at startup; the MCP endpoint itself does not impose additional auth.
Openstack MCP Server's README
OpenStack MCP Server
Overview
An OpenStack resource query service based on MCP (Model Context Protocol), providing API interfaces to query compute, storage, network, image, and other resources from the OpenStack cloud platform.
Features
- Real-time Resource Queries: Get the latest resource status of OpenStack clusters via API
- Multi-dimensional Information: Support querying various resources including compute, storage, network, and images
- Flexible Filtering: Filter resources by name, ID, and other conditions
- Detail Level Control: Support basic, detailed, and full information display levels
- Standard MCP Interface: Fully compatible with MCP protocol, seamlessly integrating with large language models
Technical Architecture
- High-performance asynchronous HTTP service based on Starlette and Uvicorn
- Interact with OpenStack API using OpenStack SDK
- Provide structured OpenStack resource information to large language models through MCP protocol
- Support SSE streaming output for real-time feedback
Architecture Diagram
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ │ │ │ │ │
│ AI Client │───▶│ MCP Server │───▶│ OpenStack │
│ (LLM) │◀───│ (Server) │◀───│ API │
│ │ │ │ │ │
└─────────────┘ └─────────────┘ └─────────────┘
Installation
Requirements
- Python 3.10+
- OpenStack environment
Install via pip
pip install openstack-mcp-server
Usage
Start the Service
openstack-mcp-server --port 8000 --log-level INFO --auth-url 'http://<OpenStack-API-Endpoint>:5000/v3' --username '<OpenStack-Admin-User>' --password '<OpenStack-Admin-Password>'
After starting, the MCP interface will be available at http://localhost:8000/openstack.
Parameters
--port: Service listening port, default is 8000--log-level: Log level, options are DEBUG, INFO, WARNING, ERROR, CRITICAL, default is INFO--json-response: Use JSON response instead of SSE stream, default is False
Interface Example
Through the MCP protocol, you can use the following tools to query OpenStack resources:
Get OpenStack VM Instances
{
"name": "get_instances",
"arguments": {
"filter": "web-server",
"limit": 10,
"detail_level": "detailed"
}
}
Parameter description:
filter: Filter condition, such as instance name or ID (optional)limit: Maximum number of results to return (optional, default 100)detail_level: Level of detail in the returned information, options are basic, detailed, full (optional, default detailed)
Install from Source
# Clone repository
git clone https://github.com/wangshqly0407/openstack-mcp-server.git
cd openstack-mcp-server
# Create virtual environment
uv venv
# Activate virtual environment
source .venv/bin/activate
# Initialize runtime environment
uv sync
# Start streaming HTTP MCP server
uv run ./src/mcp_openstack_http/server.py --port 8000 --log-level INFO --auth-url 'http://<OpenStack-API-Endpoint>:5000/v3' --username '<OpenStack-Admin-User>' --password '<OpenStack-Admin-Password>'
Testing and Verification
# Method 1: Test using npx
npx -y @modelcontextprotocol/inspector uv run ./src/mcp_openstack_http/server.py --port 8000 --log-level INFO --auth-url 'http://<OpenStack-API-Endpoint>:5000/v3' --username '<OpenStack-Admin-User>' --password '<OpenStack-Admin-Password>'
# Method 2: Test using docker
docker run -it --rm -p 6274:6274 -p 6277:6277 -v $(pwd):/app -w /app node:18 npx -y @modelcontextprotocol/inspector uv run ./src/mcp_openstack_http/server.py --port 8000 --log-level INFO --auth-url 'http://<OpenStack-API-Endpoint>:5000/v3' --username '<OpenStack-Admin-User>' --password '<OpenStack-Admin-Password>'
Access: http://localhost:6274/
Development Extensions
Adding New Resource Query Tools
- Add corresponding resource acquisition functions in
src/mcp_openstack_http/server.py - Register the new tool in the
list_toolsmethod - Implement the tool's processing logic in the
call_toolmethod
License
Apache 2.0
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Openstack MCP Server's Information
- Author
- wangsqly0407
- Category
- Cloud Platforms
- Language
- Python
- License
- Apache License 2.0
- Stars
- 1
- Updated
- 21 days ago
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