Power Automate MCP
Enables 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.
README
Power Automate MCP
A local MCP server that lets an AI agent inspect and edit your personal Power Automate cloud flows — authenticated with your own Microsoft account, with no admin consent and no paid subscription.
It exists because the hosted alternatives charge a monthly fee to wrap an API that Microsoft already exposes to your account for free — and because the Power Automate portal is a poor interface when you would rather describe the change and let an agent apply it under guardrails. This repo is the reverse-engineering writeup of how that API actually works, packaged as a working tool.
Personal project, provided as-is. Read the reliability note and docs/SECURITY.md before depending on it.
Not affiliated with or endorsed by Microsoft.
The interesting part: how it authenticates without asking IT
Every "manage Power Automate from code" tutorial tells you to register an app in
Entra ID and get an admin to consent to Dynamics CRM user_impersonation or
Flows.Manage.All. In a locked-down corporate tenant that request is a
non-starter — it grants a standing service principal, and admins (rightly) say
no.
This project sidesteps that entirely by using a public first-party client ID that Microsoft ships for interactive tooling:
51f81489-12ee-4a9e-aaae-a2591f45987d ("Dynamics 365 Example Client", of XrmToolBox fame)
Driven through the OAuth 2.0 device-code grant, this is a delegated login: the token carries your identity and your permissions, there is no service principal for anyone to approve, and no consent screen appears. You can talk to Power Automate from your laptop with exactly the rights you already have in the portal — nothing more, nothing less.
The token audience has one non-obvious quirk worth documenting:
https://service.flow.microsoft.com//user_impersonation
^^ two slashes, on purpose
The legacy resource URI ends in a slash and the v2 scope syntax appends
/user_impersonation, producing the double slash. Some tenants reject the
single-slash form. That one string is the difference between a working login and
an opaque AADSTS error.
The other interesting part: two APIs that see different flows
There are two REST backends and they are not interchangeable:
api.flow.microsoft.com |
api.powerplatform.com |
|
|---|---|---|
| Status | Undocumented, unsupported | Official, documented (2024-10-01) |
| Sees personal flows | Yes | No — 404s without Dataverse |
| Sees solution flows | Yes | Yes |
| What we use it for | Everything (personal flows) | Wired in, dormant |
The lesson that cost the most research: the supported API cannot see personal flows at all. It requires the flow to live in a Dataverse solution. So any tool that manages the flows a normal user creates in the portal — including every paid MCP — has no choice but to ride the unsupported service API. This project makes that trade-off explicit rather than hiding it.
src/client/flow-api.ts keeps both base URLs behind one switch, so a flow that
later moves into a solution (or a future where the service API finally breaks)
is a one-constant change, not a rewrite.
Reliability note (read this)
api.flow.microsoft.com is undocumented and unsupported by Microsoft. It
can change shape or disappear without notice, and this tool will break when it
does. That risk is precisely what the paid services charge to absorb on your
behalf. For a personal tool where you fix things yourself, it is a fine trade.
For anything load-bearing, it is not. Choose accordingly.
Everything runs as you. If you lose access to the account, the tool stops working — there is no service identity behind it.
Install
Requirements: Node 18+ (for built-in fetch) and pnpm. A Microsoft
work/school account that can use Power Automate — nothing more.
git clone https://github.com/karenrebecag/PowerAutomate_MCP.git
cd PowerAutomate_MCP
pnpm install
pnpm build
Credentials — sign in once
There is no config file to edit and no secret to paste. Authentication is an interactive device-code login against your own Microsoft account:
pnpm login
It prints a URL and a short code:
Power Automate MCP — sign in
1. Open: https://microsoft.com/devicelogin
2. Code: ABCD-EFGH
Waiting for you to finish signing in...
Open the URL, enter the code, sign in with the account whose flows you want to
manage, and approve. On success a refresh token is written to .pa-token
(permissions 0600, gitignored). The server mints short-lived access tokens
from it automatically — you won't be asked again until it expires (~90 days of
inactivity). To switch accounts or recover from an expired token, just re-run
pnpm login.
Optional environment variables
| Variable | Default | When to set it |
|---|---|---|
PA_TENANT_ID |
organizations |
Pin a specific tenant GUID if your account belongs to several. |
PA_TOKEN_FILE |
.pa-token beside the package |
Store the refresh token somewhere else. |
Verify (optional but recommended)
pnpm probe runs Phase 0 — it calls every read endpoint against your tenant
and dumps the real responses to scratch/ (gitignored). If a route 404s on your
environment you'll see it here rather than mid-use. Nothing it does writes.
pnpm probe
Register with your MCP client
Add the server to your client's config. For Claude Code that's ~/.mcp.json:
{
"mcpServers": {
"power-automate": {
"command": "node",
"args": ["/absolute/path/to/PowerAutomate_MCP/dist/index.js"]
}
}
}
Use an absolute path to dist/index.js. The server finds .pa-token
relative to its own location, so no working directory or env needs to be set in
the client. Restart the client (or reconnect the server) and the seven tools
appear. A quick check from the terminal without a client:
printf '%s\n%s\n%s\n' \
'{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"c","version":"1"}}}' \
'{"jsonrpc":"2.0","method":"notifications/initialized"}' \
'{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}' \
| node dist/index.js
Tools
| Tool | Writes? | What it does |
|---|---|---|
list_environments |
no | Every environment the account can see. Start here for the environment ID. |
list_flows |
no | Cloud flows in an environment (summary fields). |
get_flow |
no | Full editable definition + connection references. |
get_flow_runs |
no | Recent run history: status, code, timing. |
get_run_actions |
no | Per-action breakdown of one run; follows inputs/outputs links for failed actions. The debugging view. |
set_flow_state |
yes | Start / stop a flow. Previews unless you pass confirm: true. |
create_or_update_flow |
yes | Create or edit a flow from a definition object. dryRun is the default — pass dryRun: false to actually write. |
Typical agent workflow
Inspect / debug a failure
list_environments
list_flows(environmentId)
get_flow_runs(environmentId, flowId)
get_run_actions(environmentId, flowId, runName) → see which action failed
Change a definition safely
get_flow(environmentId, flowId) → copy properties.definition
… edit the definition object …
create_or_update_flow(..., dryRun: true) → default; shows wouldSend
create_or_update_flow(..., dryRun: false) → only after explicit OK
Both write tools refuse to mutate anything until you opt in explicitly
(dryRun: false / confirm: true). Treat that as a feature, not a nuisance —
one bad definition can break a live automation.
Example conversation (what this is for)
You: Why did "Notify sales on new lead" fail this morning?
Agent: (list_environments → list_flows → get_flow_runs → get_run_actions) The run at 09:14 failed on action
HTTP_To_CRMwith 401. The token connection reference is still present on the flow; the downstream API rejected the call.You: Turn the flow off until we fix the connection.
Agent: (set_flow_state preview → confirm: true after you approve) Flow stopped.
You never open the Power Automate designer for that loop. The agent uses the same permissions you already have in the portal.
Project layout
src/
auth/ device-code login + silent refresh (the interesting bit)
client/ thin HTTP wrapper over the two REST backends
core/ shared MCP result helpers
tools/ one file per MCP tool (added after Phase 0 confirms shapes)
server.ts MCP server wiring
index.ts stdio transport entry point
scripts/
probe-endpoints.ts Phase 0 reconnaissance — run before trusting any tool
docs/
SECURITY.md tokens, disk artifacts, blast radius
DEVELOPMENT.md how to extend tools without guessing routes
How it was built (spec / probe-driven)
- Phase 0 —
pnpm probehits read routes on a live tenant and saves real JSON underscratch/(gitignored). - Tools are typed and implemented only against those shapes.
- Routes that 404 or look wrong are dropped (e.g. standalone
list_connectionsis not in v1; refs still appear onget_flow). - Writes ship with preview defaults so an agent cannot apply a definition on the first try by accident.
Details: docs/DEVELOPMENT.md.
Status
Working. Seven tools (five read, two write), each shaped against responses
captured by Phase 0 on a live tenant. pnpm verify (typecheck + lint + format +
tests) is the local gate.
Not in v1: delete flow, desktop flows, tenant admin APIs, standalone connection listing.
Documentation
| Doc | Contents |
|---|---|
| docs/SECURITY.md | Token file, delegated blast radius, what not to commit |
| docs/DEVELOPMENT.md | Probe-first workflow, scripts, adding tools |
| CLAUDE.md | Hard rules for coding agents working in this repo |
License & intent
MIT. Personal, educational reverse-engineering project. Shared so others can learn how this API works and build their own personal tooling on top of it. Use within your own account and your organization's policies.
Not affiliated with or endorsed by Microsoft.
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