Python Openstackmcp S… vs Cloud Cost MCP | AllMCPs
Side-by-Side Model Context Protocol Comparison
Python Openstackmcp Server vs Cloud Cost MCP
In-depth architectural comparison of the Python Openstackmcp Server and Cloud Cost MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Python Openstackmcp Server
Cloud Platforms · Local stdio
Quality: 57/100 (Good) | Auth: other
Cloud Cost MCP
Cloud Platforms · Local stdio
Quality: 57/100 (Good) | Auth: No auth required
Verdict Summary: Choose Python Openstackmcp Server if you need specialized Cloud Platforms tools running via a local process. Choose Cloud Cost MCP if your workspace requires Cloud Platforms integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Python Openstackmcp Server when:
You need dedicated capabilities in the Cloud Platforms domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: other (Free / Open Source).
You have access to required keys: OS_CLIENT_CONFIG_FILE.
OpenStack MCP server for cloud infrastructure management based on openstacksdk.
Multi-cloud pricing comparison across AWS, Azure, GCP, and OCI with 2,700+ instance types. Real-time pricing from public APIs, workload calculators, and migration savings estimator.
Category & Scope
Tools & Capabilities Breakdown
Python Openstackmcp Server Tools (75)
get_servers
Get the list of Compute servers.
:return: A list of Server objects.
get_server
Get a specific Compute server.
create_server
Create a new Compute server.
get_flavors
Get flavors (server hardware configurations).
:return: A list of Flavor objects.
action_server
Perform an action on a Compute server.
update_server
Update a Compute server's name, hostname, or description.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Python Openstackmcp Server is categorized under Cloud Platforms and uses a local stdio subprocess. In contrast, Cloud Cost MCP belongs to Cloud Platforms using local stdio subprocess. Select Python Openstackmcp Server when you need capabilities focused on cloud platforms and Cloud Cost MCP when you require tools for cloud platforms.
Get the list of OpenStack images with optional filtering.
The filtering behavior is as follows:
- By default, all available images are returned without any filtering applied.
- Filters are only applied when specific values are provided by the user.
create_image
Create a new Openstack image.
This method handles both cases of image creation:
1. If a volume is provided, it creates an image from the volume.
2. If no volume is provided, it creates an image using the Image imports method
import_options field is required for this method.
Following import methods are supported:
- glance-direct: The image data is made available to the Image service via the Stage binary
- web-download: The image data is made available to the Image service by being posted to an accessible location with a URL that you know.
- must provide a URI to the image data.
- copy-image: The image data is made available to the Image service by copying existing image
- glance-download: The image data is made available to the Image service by fetching an image accessible from another glance service specified by a region name and an image id that you know.
- must provide a glance_region and glance_image_id.
+63 more tools listed on main page
Cloud Cost MCP Tools (31)
compare_compute
Compare VM/instance pricing across AWS, Azure, GCP, and OCI. Finds instances matching your vCPU and memory requirements.
compare_storage
Compare object and block storage pricing across all clouds.
compare_egress
Compare data transfer/egress costs. OCI offers 10TB/month free (100x more than others)!
compare_kubernetes
Compare managed Kubernetes pricing (EKS, AKS, GKE, OKE). Shows control plane and worker node costs.
find_cheapest_compute
Find the cheapest cloud provider for specific compute specs.
calculate_workload_cost
Estimate total monthly cost for a workload across all cloud providers. Includes compute, storage, egress, and Kubernetes.
quick_estimate
Get instant cost comparison for common deployment presets including GPU workloads.
list_presets
List all available deployment presets for quick_estimate.
estimate_migration_savings
Calculate potential savings when migrating from one cloud provider to another.
get_data_freshness
Check how recent the pricing data is for each provider. Warns if data is stale (>30 days).
get_provider_details
Get detailed pricing data for a specific cloud provider.
get_storage_summary
Get storage pricing summary by tier (hot, cool, cold, archive) for all providers.