A
licenseNot graded
qualityF
maintenanceEnables AI assistants to interact with Azure DevOps entities like projects, repositories, work items, pull requests, and pipelines.
4 npm
17
MIT
Octopus Deploy MCP Server
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No user-submitted related servers found.
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TDQS
A3.5/5.0
Scored across 30 tools
Disambiguation4/5
Most tools target clearly distinct Octopus resources (spaces, projects, deployments, releases, runbooks, tenants, events, etc.). A few adjacent pairs like get_task_from_url vs grep_task_log or get_variables vs get_tenant_variables could cause momentary confusion, but the descriptions generally resolve it.
Naming Consistency3/5
All names are readable snake_case verb_noun, but read operations are split across list_, find_, get_, and grep_, while writes use create_, deploy_, run_, update_, and execute. There is no single predictable verb pattern, though the names are mostly self-explanatory.
Tool Count2/5
At 30 tools, this exceeds the 25+ threshold for 'too many'. The Octopus domain is broad, but the surface is heavy with niche getters and two generic escape-hatch tools, making it harder for an agent to navigate than a more focused set would be.
Completeness3/5
Core workflows are covered: explore spaces/projects/environments, create and deploy releases, run runbooks, and inspect tasks/logs. However, many resources are read-only in the curated surface—no create/update/delete for projects, variables, tenants, targets, or certificates—and interruptions can be found but not acted on. The execute tool partially compensates for these gaps.
Maintenance
ActivityMaintained
ResponsivenessUnresponsive