update-embedders
Configure embedders for vector search in Meilisearch indexes to enable semantic search capabilities.
Instructions
Configure embedders for vector search
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| indexUid | Yes | Unique identifier of the index | |
| embedders | Yes | JSON object containing embedder configurations |
Implementation Reference
- src/tools/vector-tools.ts:64-84 (handler)The main handler function for the 'update-embedders' tool. It parses the embedders JSON input, validates it as an object, and sends a PATCH request to the Meilisearch API to update the embedders configuration for the specified index.
async ({ indexUid, embedders }) => { try { // Parse the embedders string to ensure it's valid JSON const parsedEmbedders = JSON.parse(embedders); // Ensure embedders is an object if (typeof parsedEmbedders !== 'object' || parsedEmbedders === null || Array.isArray(parsedEmbedders)) { return { isError: true, content: [{ type: "text", text: "Embedders must be a JSON object" }], }; } const response = await apiClient.patch(`/indexes/${indexUid}/settings/embedders`, parsedEmbedders); return { content: [{ type: "text", text: JSON.stringify(response.data, null, 2) }], }; } catch (error) { return createErrorResponse(error); } } - src/tools/vector-tools.ts:60-63 (schema)Zod schema defining the input parameters for the tool: indexUid (string) and embedders (string representing a JSON object).
{ indexUid: z.string().describe("Unique identifier of the index"), embedders: z.string().describe("JSON object containing embedder configurations"), }, - src/tools/vector-tools.ts:57-85 (registration)Direct registration of the 'update-embedders' tool on the MCP server using server.tool(), specifying name, description, input schema, and handler function.
server.tool( "update-embedders", "Configure embedders for vector search", { indexUid: z.string().describe("Unique identifier of the index"), embedders: z.string().describe("JSON object containing embedder configurations"), }, async ({ indexUid, embedders }) => { try { // Parse the embedders string to ensure it's valid JSON const parsedEmbedders = JSON.parse(embedders); // Ensure embedders is an object if (typeof parsedEmbedders !== 'object' || parsedEmbedders === null || Array.isArray(parsedEmbedders)) { return { isError: true, content: [{ type: "text", text: "Embedders must be a JSON object" }], }; } const response = await apiClient.patch(`/indexes/${indexUid}/settings/embedders`, parsedEmbedders); return { content: [{ type: "text", text: JSON.stringify(response.data, null, 2) }], }; } catch (error) { return createErrorResponse(error); } } ); - src/index.ts:68-68 (registration)Top-level registration call that invokes registerVectorTools(server), which in turn registers the 'update-embedders' tool along with other vector tools.
registerVectorTools(server);