MongoDB MCP Server

import { describeAccuracyTests } from "./sdk/describeAccuracyTests.js"; import { Matcher } from "./sdk/matcher.js"; describeAccuracyTests( [ { prompt: "Create an index that covers the following query on 'mflix.movies' namespace - { \"release_year\": 1992 }", expectedToolCalls: [ { toolName: "create-index", parameters: { database: "mflix", collection: "movies", name: Matcher.anyOf(Matcher.undefined, Matcher.string()), definition: [ { type: "classic", keys: { release_year: 1, }, }, ], }, }, ], }, { prompt: "Create a text index on title field in 'mflix.movies' namespace", expectedToolCalls: [ { toolName: "create-index", parameters: { database: "mflix", collection: "movies", name: Matcher.anyOf(Matcher.undefined, Matcher.string()), definition: [ { type: "classic", keys: { title: "text", }, }, ], }, }, ], }, { prompt: "Create a vector search index on 'mflix.movies' namespace on the 'plotSummary' field. The index should use 1024 dimensions.", expectedToolCalls: [ { toolName: "create-index", parameters: { database: "mflix", collection: "movies", name: Matcher.anyOf(Matcher.undefined, Matcher.string()), definition: [ { type: "vectorSearch", fields: [ { type: "vector", path: "plotSummary", numDimensions: 1024, }, ], }, ], }, }, ], }, { prompt: "Create a vector search index on 'mflix.movies' namespace with on the 'plotSummary' field and 'genre' field, both of which contain vector embeddings. Pick a sensible number of dimensions for a voyage 3.5 model.", expectedToolCalls: [ { toolName: "create-index", parameters: { database: "mflix", collection: "movies", name: Matcher.anyOf(Matcher.undefined, Matcher.string()), definition: [ { type: "vectorSearch", fields: [ { type: "vector", path: "plotSummary", numDimensions: Matcher.number( (value) => value % 2 === 0 && value >= 256 && value <= 8192 ), similarity: Matcher.anyOf(Matcher.undefined, Matcher.string()), }, { type: "vector", path: "genre", numDimensions: Matcher.number( (value) => value % 2 === 0 && value >= 256 && value <= 8192 ), similarity: Matcher.anyOf(Matcher.undefined, Matcher.string()), }, ], }, ], }, }, ], }, { prompt: "Create a vector search index on 'mflix.movies' namespace where the 'plotSummary' field is indexed as a 1024-dimensional vector and the 'releaseDate' field is indexed as a regular field.", expectedToolCalls: [ { toolName: "create-index", parameters: { database: "mflix", collection: "movies", name: Matcher.anyOf(Matcher.undefined, Matcher.string()), definition: [ { type: "vectorSearch", fields: [ { type: "vector", path: "plotSummary", numDimensions: 1024, }, { type: "filter", path: "releaseDate", }, ], }, ], }, }, ], }, ], { userConfig: { previewFeatures: "vectorSearch" }, clusterConfig: { search: true, }, } );