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powerdrillai

Powerdrill MCP Server

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by powerdrillai

mcp_powerdrill_list_data_sources

List and filter data sources within Powerdrill datasets to manage and analyze data connections for AI-powered insights.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetIdYesThe ID of the dataset to list data sources from
pageNumberNoThe page number to start listing (default: 1)
pageSizeNoThe number of items on a single page (default: 10)
statusNoFilter data sources by status: synching, invalid, synched (comma-separated for multiple)

Implementation Reference

  • src/index.ts:346-442 (registration)
    Registers the MCP tool 'mcp_powerdrill_list_data_sources' with input schema and inline async handler function that initializes PowerdrillClient and calls listDataSources.
    server.tool(
      'mcp_powerdrill_list_data_sources',
      {
        datasetId: z.string().describe('The ID of the dataset to list data sources from'),
        pageNumber: z.number().optional().describe('The page number to start listing (default: 1)'),
        pageSize: z.number().optional().describe('The number of items on a single page (default: 10)'),
        status: z.string().optional().describe('Filter data sources by status: synching, invalid, synched (comma-separated for multiple)')
      },
      async (args, extra) => {
        try {
          const { datasetId, pageNumber, pageSize, status } = args;
    
          // Initialize Powerdrill client
          const client = new (await import('./utils/powerdrillClient.js')).PowerdrillClient();
    
          // Fetch data sources
          const response = await client.listDataSources(datasetId, {
            pageNumber,
            pageSize,
            status
          });
    
          // Check if response is valid
          if (!response) {
            throw new Error(`Empty response received from API`);
          }
    
          if (response.code !== 0) {
            throw new Error(`API returned error code: ${response.code}, message: ${response.message || 'No message'}`);
          }
    
          if (!response.data || !response.data.records) {
            throw new Error(`Invalid API response format: missing data.records property`);
          }
    
          const dataSources = response.data.records || [];
    
          if (dataSources.length === 0) {
            return {
              content: [
                {
                  type: "text",
                  text: JSON.stringify({
                    message: "No data sources found in the dataset",
                    data_sources: []
                  }, null, 2)
                }
              ]
            };
          }
    
          // Format the response as MCP content
          const result = {
            count: dataSources.length,
            total: response.data.total_items || dataSources.length,
            page: response.data.page_number || 1,
            page_size: response.data.page_size || 10,
            data_sources: dataSources.map((dataSource: any) => ({
              id: dataSource.id,
              name: dataSource.name,
              type: dataSource.type,
              status: dataSource.status,
              size: dataSource.size,
              dataset_id: dataSource.dataset_id
            }))
          };
    
          // Return the formatted response
          return {
            content: [
              {
                type: "text",
                text: JSON.stringify(result, null, 2)
              }
            ]
          };
        } catch (error: any) {
          console.error(`Error listing data sources: ${error.message}`);
          console.error(error.stack);
    
          // Return error response
          return {
            content: [
              {
                type: "text",
                text: JSON.stringify({
                  error: `Error listing data sources: ${error.message}`,
                  errorType: error.name,
                  errorStack: process.env.NODE_ENV === 'development' ? error.stack : undefined
                }, null, 2)
              }
            ],
            isError: true
          };
        }
      }
    );
  • The main handler function for the tool that destructures args, creates PowerdrillClient instance, calls listDataSources on it, processes the response, and returns formatted JSON content or error.
    async (args, extra) => {
      try {
        const { datasetId, pageNumber, pageSize, status } = args;
    
        // Initialize Powerdrill client
        const client = new (await import('./utils/powerdrillClient.js')).PowerdrillClient();
    
        // Fetch data sources
        const response = await client.listDataSources(datasetId, {
          pageNumber,
          pageSize,
          status
        });
    
        // Check if response is valid
        if (!response) {
          throw new Error(`Empty response received from API`);
        }
    
        if (response.code !== 0) {
          throw new Error(`API returned error code: ${response.code}, message: ${response.message || 'No message'}`);
        }
    
        if (!response.data || !response.data.records) {
          throw new Error(`Invalid API response format: missing data.records property`);
        }
    
        const dataSources = response.data.records || [];
    
        if (dataSources.length === 0) {
          return {
            content: [
              {
                type: "text",
                text: JSON.stringify({
                  message: "No data sources found in the dataset",
                  data_sources: []
                }, null, 2)
              }
            ]
          };
        }
    
        // Format the response as MCP content
        const result = {
          count: dataSources.length,
          total: response.data.total_items || dataSources.length,
          page: response.data.page_number || 1,
          page_size: response.data.page_size || 10,
          data_sources: dataSources.map((dataSource: any) => ({
            id: dataSource.id,
            name: dataSource.name,
            type: dataSource.type,
            status: dataSource.status,
            size: dataSource.size,
            dataset_id: dataSource.dataset_id
          }))
        };
    
        // Return the formatted response
        return {
          content: [
            {
              type: "text",
              text: JSON.stringify(result, null, 2)
            }
          ]
        };
      } catch (error: any) {
        console.error(`Error listing data sources: ${error.message}`);
        console.error(error.stack);
    
        // Return error response
        return {
          content: [
            {
              type: "text",
              text: JSON.stringify({
                error: `Error listing data sources: ${error.message}`,
                errorType: error.name,
                errorStack: process.env.NODE_ENV === 'development' ? error.stack : undefined
              }, null, 2)
            }
          ],
          isError: true
        };
      }
    }
  • Zod schema defining the input parameters for the tool: datasetId (required), optional pagination and status filter.
    {
      datasetId: z.string().describe('The ID of the dataset to list data sources from'),
      pageNumber: z.number().optional().describe('The page number to start listing (default: 1)'),
      pageSize: z.number().optional().describe('The number of items on a single page (default: 10)'),
      status: z.string().optional().describe('Filter data sources by status: synching, invalid, synched (comma-separated for multiple)')
    },
  • Helper method in PowerdrillClient class that performs the actual API call to list data sources for a dataset, handling query parameters, HTTP request with axios, error handling, and returning the raw API response.
    async listDataSources(datasetId: string, options: { 
      pageNumber?: number;
      pageSize?: number;
      status?: string | string[];
      timeout?: number;
    } = {}) {
      const timeout = options.timeout || 30000; // Default 30 second timeout
    
      try {
        // Build query parameters
        let queryParams = `user_id=${this.config.userId}`;
    
        if (options.pageNumber) {
          queryParams += `&page_number=${options.pageNumber}`;
        }
    
        if (options.pageSize) {
          queryParams += `&page_size=${options.pageSize}`;
        }
    
        if (options.status) {
          // Handle array of statuses or single status
          const statusValue = Array.isArray(options.status) ? options.status.join(',') : options.status;
          queryParams += `&status=${statusValue}`;
        }
    
        const response = await this.client.get(`/datasets/${datasetId}/datasources?${queryParams}`, {
          timeout: timeout,
          validateStatus: (status) => status >= 200 && status < 500 // Don't throw on 4xx errors
        });
    
        // Handle HTTP errors manually
        if (response.status >= 400) {
          throw new Error(`HTTP error ${response.status}: ${response.statusText || 'Unknown error'}`);
        }
    
        // Validate response structure
        if (!response.data) {
          throw new Error('Invalid API response: missing data');
        }
    
        return response.data;
      } catch (error: any) {
        if (error.code === 'ECONNABORTED') {
          console.error(`PowerdrillClient: Request timed out after ${timeout}ms`);
          throw new Error(`Request timed out after ${timeout}ms`);
        }
    
        if (error.response) {
          // The request was made and the server responded with a status code
          console.error(`PowerdrillClient: HTTP error ${error.response.status}`, error.response.data);
          throw new Error(`API error: ${error.response.status} ${error.response.statusText}`);
        } else if (error.request) {
          // The request was made but no response was received
          console.error('PowerdrillClient: No response received', error.request);
          throw new Error('No response received from API');
        }
    
        console.error('PowerdrillClient: Error listing data sources:', error.message);
        throw error;
      }
    }
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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