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mcp-hub.momenta.works·vlatest·agents

Helps with MCP tools, deployment as part of orchestrating AI agents and multi-step workflows workflows.

Install on your platform

This skill no longer installs under the name deploy. mcp-hub.momenta.works/auto-coding is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

mcp-hub.momenta.works

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. repository not found or private Source recorded as mcp-hub.momenta.works/auto-coding.
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About this skill

What it does

This skill facilitates the use of MCP (Management Console Platform) tools for deploying resources. It's designed to integrate into larger AI agent workflows, automating deployment tasks as part of a broader orchestration process. The skill enables automated resource provisioning and configuration within an environment managed by MCP.

When to use it

  • Automate the creation of new environments for testing or development.
  • Deploy application code changes to staging or production environments.
  • Integrate infrastructure provisioning into a larger AI agent workflow that handles data processing and model training.
  • Manage resource updates and rollbacks as part of an automated release pipeline.

Key capabilities

  • MCP tool integration
  • Automated deployment
  • Workflow orchestration
  • Resource provisioning

Example prompts

  • "Deploy the latest version of the 'webapp' application to the staging environment using MCP."
  • "Create a new development environment with the specified resource configuration via MCP."
  • "Rollback the last deployment of the 'database' service in the production environment, utilizing MCP tools."

Tips & gotchas

The skill requires access and permissions within your MCP environment. Ensure that the AI agent has appropriate credentials configured to interact with MCP successfully.