Azure DevOps ACTION
List Classification Nodes
List a project's area or iteration path tree. Returns the node tree with each node's name and full path. Use this to discover the values the Area Path and Iteration Path inputs of the work item actions expect - those inputs want the backslash-delimited path, not the node name. Example: structure group
Iterations returns Fabrikam-Fiber-Git\\Sprint 1. See the documentation- Action
- Read only
- OAuth
- SDK
- MCP
IMPLEMENTATION
Call this tool
Connect a user's Azure DevOps account once, then configure and run List Classification Nodes from your backend or agent.
import { PipedreamClient } from "@pipedream/sdk"
const pd = new PipedreamClient({
projectId: process.env.PIPEDREAM_PROJECT_ID!,
clientId: process.env.PIPEDREAM_CLIENT_ID!,
clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
projectEnvironment: "production",
})
const result = await pd.actions.run({
id: "azure_devops-list-classification-nodes",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
azure_devops: { authProvisionId: "apn_xxxxxxx" },
organization: "Organization",
project: "Project",
},
})
console.log(result)curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
-H "Content-Type: application/json" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}" \
-d '{
"external_user_id": "{external_user_id}",
"id": "azure_devops-list-classification-nodes",
"configured_props": {
"azure_devops": { "authProvisionId": "apn_xxxxxxx" },
"organization": "Organization",
"project": "Project"
}
}'// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
new URL("https://remote.mcp.pipedream.net/v3"),
{
requestInit: {
headers: {
Authorization: `Bearer ${accessToken}`,
"x-pd-project-id": "{project_id}",
"x-pd-environment": "production",
"x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
"x-pd-app-slug": "azure_devops",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
name: "azure_devops-list-classification-nodes",
arguments: {
organization: "Organization",
project: "Project",
},
})SCHEMA
Inputs
Pipedream supplies the connected account. Your application provides the operation-specific values below. Dynamic inputs are resolved against that user's account.
| Property | Type | Description |
|---|---|---|
organization Organization | string | Name of the organization Required Dynamic |
project Project | string | Project ID or project name. Run the List Projects action first to obtain valid values. Required |
structureGroup Structure Group | string | Which tree to return Required |
depth Depth | integer | How many levels of children to fetch (max 10). Defaults to 2. Optional |
REFERENCE
Tool details
Behavior hints are published with the component in the Pipedream registry and surface as MCP tool annotations, so an agent can reason about a tool before it calls it.
- Registry key
- azure_devops-list-classification-nodes
- Version
- 0.0.2
- App
- Azure DevOps
- Authentication
- OAuth
- Read-only
- Yes
- Destructive
- No
- Open world
- Yes
- Source
- View on GitHub ↗