power-automate-mcp-server
Related Servers
Alternatives to power-automate-mcp-server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceA self-hosted MCP server that enables AI assistants to inspect and manage Microsoft Power Automate cloud flows and Dataverse records locally, using your own Azure identity.MIT
- AlicenseAqualityCmaintenanceEnables AI agents to inspect and edit your personal cloud flows through a local MCP server, authenticated with your own Microsoft account and no admin consent.71MIT
- AlicenseAqualityCmaintenanceMCP server that lets AI assistants scaffold, build, register, query, and diagnose Microsoft Dataverse plug-ins directly from conversation, orchestrating Power Platform CLI and Azure CLI.24MIT
- AlicenseBqualityFmaintenanceA universal MCP server that automatically discovers and registers CLI tools as AI-powered agents with persona configuration, enabling any CLI tool to be used as an MCP tool.41MIT
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients to manage and troubleshoot Power Automate cloud flows, including listing environments, flows, and runs, with optional write capabilities for triggering, enabling, disabling, and deleting flows.36 npm2MIT
- AlicenseBqualityFmaintenanceLocal-first MCP server and Chromium extension for AI-assisted Microsoft Power Automate work, enabling users to inspect, validate, edit, run, review, and revert cloud flows using a browser session.2432 npm24MIT
TDQS
Scored across 18 tools
Each tool targets a distinct resource and action: flows, runs, owners, connections, environments are all clearly separated. Even list_flow_runs vs get_flow_run are unambiguous (list vs single). No overlapping purposes or ambiguous boundaries.
Tools overwhelmingly follow a verb_noun snake_case pattern (list_flows, get_flow, enable_flow, add_flow_owner). The only deviation is 'info' (bare noun) and 'report_feedback' (verb_noun but not domain-related), which is a minor inconsistency rather than a chaotic mix.
At 18 tools, the set is slightly above the typically ideal 3-15 range, but each tool serves a distinct purpose in managing Power Automate flows, runs, owners, and connections. The count feels justified rather than bloated, though it is on the heavier side.
The flow lifecycle is well-covered (create, get, update, delete, enable, disable), plus runs (list, get, cancel, resubmit) and owner management (list, add, remove). Notable gaps include no manual flow trigger (run_flow) and no connection create/update, but these may be out of scope for a read/monitor-oriented server.