Skip to main content
Glama

Letta MCP Server

by oculairmedia
list-embedding-models.js1.23 kB
/** * Tool handler for listing available embedding models */ export async function handleListEmbeddingModels(server, _args) { try { const headers = server.getApiHeaders(); // Use the specific endpoint from the OpenAPI spec const response = await server.api.get('/models/embedding', { headers }); const models = response.data; // Assuming response.data is an array of EmbeddingConfig objects return { content: [ { type: 'text', text: JSON.stringify({ model_count: models.length, models: models, }), }, ], }; } catch (error) { server.createErrorResponse(error); } } /** * Tool definition for list_embedding_models */ export const listEmbeddingModelsDefinition = { name: 'list_embedding_models', description: 'List available embedding models configured on the Letta server. Use with create_agent or modify_agent to set agent embedding preferences.', inputSchema: { type: 'object', properties: {}, // No input arguments needed required: [], }, };

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/oculairmedia/Letta-MCP-server'

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