Python Openstackmcp Server vs Vercel MCP Pro
A side-by-side look at the Python Openstackmcp Server and Vercel MCP Pro MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Python Openstackmcp Server for cloud platforms work as a local process; choose Vercel MCP Pro for cloud platforms as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Python Openstackmcp Server when
- You need dedicated capabilities in the Cloud Platforms domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: other.
- You have the keys it needs:
OS_CLIENT_CONFIG_FILE. - You want tools like
get_servers, get_server, create_server.
Choose Vercel MCP Pro when
- You need dedicated capabilities in the Cloud Platforms domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
VERCEL_TOKEN. - You want tools like
list_deployments, get_deployment, create_deployment.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Cloud Platforms | Cloud Platforms |
| Quality signal | 59/100 · Good | 60/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | other | Not declared |
| Pricing | Free | Not declared |
| Required env vars | OS_CLIENT_CONFIG_FILE | VERCEL_TOKEN |
| Verified owner | Community listing | Community listing |
| GitHub stars | 19 | 0 |
| Directory activity | 4 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 75 | 70 |
| Full listing | View Python Openstackmcp Server | View Vercel MCP Pro |
Tools & capabilities
Python Openstackmcp Server tools 75
get_serversGet the list of Compute servers. :return: A list of Server objects.get_serverGet a specific Compute server.create_serverCreate a new Compute server.get_flavorsGet flavors (server hardware configurations). :return: A list of Flavor objects.action_serverPerform an action on a Compute server.update_serverUpdate a Compute server's name, hostname, or description.delete_serverDelete a Compute server.attach_volumeAttach a volume to a Compute server.detach_volumeDetach a volume from a Compute server.get_imageGet an OpenStack image by ID.get_imagesGet 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_imageCreate 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 on the listing page
Vercel MCP Pro tools 70
list_deploymentsList deployments, most recent first. Filter by project, target (production/preview), state, or time window. Use this to see deploy history and find a deployment id.get_deploymentGet full details of one deployment by id or URL (state, build, meta, aliases).create_deploymentCreate a new deployment. The simplest path is to deploy from a connected Git source: pass `name` (project) and a `gitSource` ({ type, repoId/org+repo, ref }). For file-based deploys, provide `files`. For most workflows the /vercel CLI skill is easier — use this when you need API-driven, headless deploys.cancel_deploymentCancel an in-progress (BUILDING/QUEUED) deployment.delete_deploymentDelete a deployment by id (or by URL via the `url` param).get_deployment_eventsGet the build/runtime event log of a deployment (this is where build logs and errors live). Use to diagnose failed builds and runtime bugs. Returns log lines with text, type and timestamps.list_deployment_filesList the file tree of a deployment.get_deployment_file_contentsGet the contents of a single file within a deployment by file id.promote_deploymentPromote an existing deployment to production for a project (instant promotion, no rebuild). This is how you ship a previously-built preview to prod.rollback_deploymentRoll a project's production back to a previous deployment (instant rollback). Pass the deployment id you want to roll back to.get_promote_aliasesCheck the status of the most recent promote/rollback for a project (which aliases were assigned).list_projectsList projects in the account/team. Optionally filter by name or repo.- +58 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Python Openstackmcp Server
{
"mcpServers": {
"openstack-kr-python-openstackmcp-server": {
"command": "uvx",
"args": [
"python-openstackmcp-server"
],
"env": {
"OS_CLIENT_CONFIG_FILE": "YOUR_OS_CLIENT_CONFIG_FILE_HERE"
}
}
}
}
Vercel MCP Pro
{
"mcpServers": {
"vercel-mcp-pro": {
"command": "npx",
"args": [
"-y",
"vercel-mcp-pro"
],
"env": {
"VERCEL_TOKEN": "YOUR_VERCEL_TOKEN_HERE"
}
}
}
}
Frequently asked questions
Python Openstackmcp Server is categorized under Cloud Platforms and uses a local stdio subprocess. Vercel MCP Pro belongs to Cloud Platforms and uses a local stdio subprocess. Pick Python Openstackmcp Server for cloud platforms work and Vercel MCP Pro for cloud platforms.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Python Openstackmcp Server is listed as free. Auth: other. Vercel MCP Pro has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add openstack-kr-python-openstackmcp-server and vercel-mcp-pro as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Python Openstackmcp Server has a quality signal of 59/100 (Good) with 4 views, 0 installs and 19 GitHub stars. Vercel MCP Pro has 60/100 (Good) with 1 views, 0 installs and 0 GitHub stars.