Manage Avaza projects, tasks, timesheets, expenses, invoices, and scheduling through AI assistants.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Avaza.
The Avaza MCP server connects AI assistants with Avaza work-management data and operations. Its stated scope covers projects, tasks, timesheets, expenses, invoices, and scheduling. This makes it relevant to teams that keep project delivery, time tracking, costs, billing, and calendars in Avaza and want an assistant to work with those areas.
The server is intended for requests made through an AI assistant. For example, an assistant could be used as an interface for Avaza-related project work, time records, expense information, invoice activity, or scheduling tasks. The available description identifies the supported Avaza domains but does not define the exact operations available within each one.
The documented capability areas are:
These areas cover both delivery work and administrative records. Projects and tasks relate to organizing work; timesheets and expenses relate to recording project activity and costs; invoices relate to billing; and scheduling relates to planning. The listing does not provide individual MCP tool names, argument formats, response schemas, or examples, so those details should be verified before implementation.
The Avaza MCP server listing supplies a short capability description but no README content. As a result, it does not establish how the server is installed, which transport it uses, what authentication method it requires, or whether it supports a particular AI client. It also does not specify permissions, filtering, pagination, error behavior, or the precise actions available for projects, tasks, timesheets, expenses, invoices, and scheduling.
Treat the listed areas as the supported scope rather than as a complete API reference. Before adopting the Avaza MCP server in an agent workflow, confirm the repository's current documentation for setup, credentials, client compatibility, and operation-level behavior. The available material supports using it for Avaza management through AI assistants, but not claims about deployment requirements or specific integrations beyond that connection.
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