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forsonny

Coolify MCP Server

by forsonny

create_application

Deploy code from a Git repository by creating a new Coolify application linked to a project, environment, and destination server.

Instructions

Create a new application in Coolify. Applications are deployable units that can be sourced from Git repositories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_uuidYesUUID of the project this application belongs to. Projects help organize related applications.
ports_exposesNoComma-separated list of ports to expose (e.g., "3000,8080"). These ports will be accessible from outside the container.
git_repositoryNoURL of the Git repository containing the application code
destination_uuidYesUUID of the destination server where this application will be deployed. Get this from list_servers.
environment_nameYesName of the deployment environment (e.g., production, staging, development)
environment_uuidNoOptional UUID of an existing environment to use
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden but only says 'Create a new application'. It does not disclose side effects (e.g., does it trigger deployment?), idempotency, required permissions, or error cases. This is insufficient for a creation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no wasted words. The first sentence states the action, the second adds context. Could be improved with a more structured format (e.g., listing inputs/outputs).

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description lacks information about return values, post-creation steps, or integration with other tools. Given the complexity (6 params, no output schema) and many sibling tools, the description is incomplete for an AI agent to chain tasks effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all parameters. The description adds no additional meaning beyond the schema, so baseline 3 applies. For example, it doesn't explain how 'destination_uuid' relates to 'project_uuid' or provide examples.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool creates an application and defines applications as deployable units from Git repos. This distinguishes it from sibling tools like 'create_server' or 'create_service', but could be more explicit about the difference between applications and services.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided about when to use this tool versus alternatives. For example, it does not explain when to use 'create_application' vs 'create_service' or if any prerequisites (like existing project/environment) are needed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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