Skip to main content
Glama

get_dataset

Retrieve detailed information about a specific dataset by name to analyze Langfuse analytics, cost metrics, and usage data across projects.

Instructions

Get detailed information about a specific dataset by name.

Input Schema

NameRequiredDescriptionDefault
datasetNameYesName of the dataset to retrieve

Input Schema (JSON Schema)

{ "properties": { "datasetName": { "description": "Name of the dataset to retrieve", "type": "string" } }, "required": [ "datasetName" ], "type": "object" }

Implementation Reference

  • The main async handler function that implements the core logic of the 'get_dataset' tool. It fetches the dataset from the Langfuse client using the provided datasetName and returns formatted JSON content or an error response.
    export async function getDataset( client: LangfuseAnalyticsClient, args: GetDatasetArgs ) { try { const data = await client.getDataset(args.datasetName); return { content: [{ type: 'text' as const, text: JSON.stringify(data, null, 2) }], }; } catch (error) { const errorMessage = error instanceof Error ? error.message : String(error); return { content: [{ type: 'text' as const, text: `Error: ${errorMessage}` }], isError: true, }; } }
  • Zod schema defining the input parameters for the 'get_dataset' tool, specifically requiring a non-empty datasetName string.
    export const getDatasetSchema = z.object({ datasetName: z.string().min(1).describe('Name of the dataset to retrieve'), });
  • src/index.ts:662-675 (registration)
    Tool registration in the allTools array used by listToolsRequestHandler. Defines the tool's name, description, and input schema for MCP protocol advertisement.
    { name: 'get_dataset', description: 'Get detailed information about a specific dataset by name.', inputSchema: { type: 'object', properties: { datasetName: { type: 'string', description: 'Name of the dataset to retrieve', }, }, required: ['datasetName'], }, },
  • Dispatch handler in the main CallToolRequestSchema switch statement that parses arguments using the schema and invokes the getDataset handler function.
    case 'get_dataset': { const args = getDatasetSchema.parse(request.params.arguments); return await getDataset(this.client, args); }

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/therealsachin/langfuse-mcp-server'

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