Skip to main content
Glama
matchs
by matchs

get_run_status

Check the current status of Terraform Cloud workspace runs to monitor infrastructure deployment progress and identify issues.

Instructions

Get the current run status for a Terraform Cloud workspace

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceNameYesWorkspace name
organizationNoOrganization nameurbanmedia

Implementation Reference

  • The handler function that implements the logic for the 'get_run_status' tool, fetching workspace details, current run status, and recent runs from the Terraform Cloud API.
    async ({ workspaceName, organization }) => { try { // Get workspace details const workspaceData = await tfCloudRequest(`/organizations/${organization}/workspaces/${workspaceName}`); const workspaceId = workspaceData.data.id; // Get current run if exists const currentRunData = workspaceData.data.relationships['current-run']?.data; let currentRunId: string | undefined; let currentRunStatus: string | undefined; if (currentRunData?.id) { currentRunId = currentRunData.id; const runData = await tfCloudRequest(`/runs/${currentRunId}`); currentRunStatus = runData.data.attributes.status; } // Get recent runs const runsData = await tfCloudRequest(`/workspaces/${workspaceId}/runs?page[size]=5`); const recentRuns = runsData.data.map((run: any) => ({ id: run.id, status: run.attributes.status, createdAt: run.attributes['created-at'], message: run.attributes.message || 'No message' })); const output = { workspaceId, workspaceName, currentRunId, currentRunStatus, recentRuns }; return { content: [{ type: 'text', text: JSON.stringify(output, null, 2) }], structuredContent: output }; } catch (error) { const errorMsg = error instanceof Error ? error.message : String(error); return { content: [{ type: 'text', text: `Error: ${errorMsg}` }], isError: true }; } }
  • Input and output schema definitions, including Zod validators, for the 'get_run_status' tool.
    title: 'Get Run Status', description: 'Get the current run status for a Terraform Cloud workspace', inputSchema: { workspaceName: z.string().describe('Workspace name'), organization: z.string().default('urbanmedia').describe('Organization name') }, outputSchema: { workspaceId: z.string(), workspaceName: z.string(), currentRunId: z.string().optional(), currentRunStatus: z.string().optional(), recentRuns: z.array(z.object({ id: z.string(), status: z.string(), createdAt: z.string(), message: z.string() })) } },
  • src/index.ts:48-116 (registration)
    Registration of the 'get_run_status' tool using server.registerTool, including name, schema, and handler function.
    server.registerTool( 'get_run_status', { title: 'Get Run Status', description: 'Get the current run status for a Terraform Cloud workspace', inputSchema: { workspaceName: z.string().describe('Workspace name'), organization: z.string().default('urbanmedia').describe('Organization name') }, outputSchema: { workspaceId: z.string(), workspaceName: z.string(), currentRunId: z.string().optional(), currentRunStatus: z.string().optional(), recentRuns: z.array(z.object({ id: z.string(), status: z.string(), createdAt: z.string(), message: z.string() })) } }, async ({ workspaceName, organization }) => { try { // Get workspace details const workspaceData = await tfCloudRequest(`/organizations/${organization}/workspaces/${workspaceName}`); const workspaceId = workspaceData.data.id; // Get current run if exists const currentRunData = workspaceData.data.relationships['current-run']?.data; let currentRunId: string | undefined; let currentRunStatus: string | undefined; if (currentRunData?.id) { currentRunId = currentRunData.id; const runData = await tfCloudRequest(`/runs/${currentRunId}`); currentRunStatus = runData.data.attributes.status; } // Get recent runs const runsData = await tfCloudRequest(`/workspaces/${workspaceId}/runs?page[size]=5`); const recentRuns = runsData.data.map((run: any) => ({ id: run.id, status: run.attributes.status, createdAt: run.attributes['created-at'], message: run.attributes.message || 'No message' })); const output = { workspaceId, workspaceName, currentRunId, currentRunStatus, recentRuns }; return { content: [{ type: 'text', text: JSON.stringify(output, null, 2) }], structuredContent: output }; } catch (error) { const errorMsg = error instanceof Error ? error.message : String(error); return { content: [{ type: 'text', text: `Error: ${errorMsg}` }], isError: true }; } } );
  • Helper function to make authenticated API requests to Terraform Cloud, heavily used in the tool handler.
    async function tfCloudRequest(endpoint: string): Promise<any> { const token = getTerraformToken(); const response = await fetch(`${TF_API_BASE}${endpoint}`, { headers: { 'Authorization': `Bearer ${token}`, 'Content-Type': 'application/vnd.api+json' } }); if (!response.ok) { throw new Error(`Terraform Cloud API error: ${response.statusText}`); } return response.json(); }
  • Helper function to retrieve the Terraform Cloud API token from the user's credentials file, used by tfCloudRequest.
    function getTerraformToken(): string { const credentialsPath = join(homedir(), '.terraform.d', 'credentials.tfrc.json'); try { const credentials = JSON.parse(readFileSync(credentialsPath, 'utf-8')); return credentials.credentials['app.terraform.io'].token; } catch (error) { throw new Error('Failed to read Terraform Cloud token from ~/.terraform.d/credentials.tfrc.json'); } }

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/matchs/tf-cloud-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server