enable-vector-search
Activate vector search functionality in Meilisearch to enable semantic similarity-based document retrieval.
Instructions
Enable the vector search experimental feature in Meilisearch
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Implementation Reference
- src/tools/vector-tools.ts:25-37 (handler)Handler function that enables the vector search experimental feature by posting to the Meilisearch /experimental-features endpoint with vectorStore: true, and returns the response or error.
async () => { try { const response = await apiClient.post('/experimental-features', { vectorStore: true, }); return { content: [{ type: "text", text: JSON.stringify(response.data, null, 2) }], }; } catch (error) { return createErrorResponse(error); } } ); - src/tools/vector-tools.ts:21-37 (registration)Registers the enable-vector-search tool on the MCP server with no input schema and the inline handler function.
server.tool( "enable-vector-search", "Enable the vector search experimental feature in Meilisearch", {}, async () => { try { const response = await apiClient.post('/experimental-features', { vectorStore: true, }); return { content: [{ type: "text", text: JSON.stringify(response.data, null, 2) }], }; } catch (error) { return createErrorResponse(error); } } ); - src/index.ts:68-68 (registration)Registers all vector tools, including enable-vector-search, by calling registerVectorTools on the main MCP server instance.
registerVectorTools(server);