15063490200

Committed 16 May 2025 07:51AM UTC coverage: 73.774%. First build

Build # 15063490200

Build Type

Pull #258

github

Committed by

web-flow

Commit Message

Merge 047c85483 into 298adf4a5

Pull Request Pull Request #258: feat: listSearchIndexes now lists index status info

Run Details

209 of 368 branches covered (56.79%)

Branch coverage included in aggregate %.

0 of 1 new or added line in 1 file covered. (0.0%)

829 of 1039 relevant lines covered (79.79%)

54.59 hits per line

Source File
Press 'n' to go to next uncovered line, 'b' for previous

62.5

/src/tools/mongodb/create/createVectorIndex.ts

import { CallToolResult } from "@modelcontextprotocol/sdk/types.js";
import { buildVectorFields, DbOperationArgs, MongoDBToolBase, VectorIndexArgs } from "../mongodbTool.js";
import { OperationType, ToolArgs } from "../../tool.js";

const VECTOR_INDEX_TYPE = "vectorSearch";
export class CreateVectorIndexTool extends MongoDBToolBase {
    protected name = "create-vector-index";
    protected description = "Create an Atlas Vector Search Index for a collection.";
    protected argsShape = {
        ...DbOperationArgs,
        name: VectorIndexArgs.name,
        vectorDefinition: VectorIndexArgs.vectorDefinition,
        filterFields: VectorIndexArgs.filterFields,
    };

    protected operationType: OperationType = "create";

    protected async execute({
        database,
        collection,
        name,
        vectorDefinition,
        filterFields,
    }: ToolArgs<typeof this.argsShape>): Promise<CallToolResult> {
        const provider = await this.ensureConnected();

        const indexes = await provider.createSearchIndexes(database, collection, [
            {
                name,
                type: VECTOR_INDEX_TYPE,
                definition: { fields: buildVectorFields(vectorDefinition, filterFields) },
            },
        ]);

        return {
            content: [
                {
                    text: `Created the vector index ${indexes[0]} on collection "${collection}" in database "${database}"`,
                    type: "text",
                },
            ],
        };
    }
}

1	import { CallToolResult } from "@modelcontextprotocol/sdk/types.js";
2	import { buildVectorFields, DbOperationArgs, MongoDBToolBase, VectorIndexArgs } from "../mongodbTool.js";
3	import { OperationType, ToolArgs } from "../../tool.js";
4
5	const VECTOR_INDEX_TYPE = "vectorSearch";	37✔
6	export class CreateVectorIndexTool extends MongoDBToolBase {
7	protected name = "create-vector-index";	34✔
8	protected description = "Create an Atlas Vector Search Index for a collection.";	34✔
9	protected argsShape = {	34✔
10	...DbOperationArgs,
11	name: VectorIndexArgs.name,
12	vectorDefinition: VectorIndexArgs.vectorDefinition,
13	filterFields: VectorIndexArgs.filterFields,
14	};
15
16	protected operationType: OperationType = "create";	34✔
17
18	protected async execute({
19	database,
20	collection,
21	name,
22	vectorDefinition,
23	filterFields,
24	}: ToolArgs<typeof this.argsShape>): Promise<CallToolResult> {
25	const provider = await this.ensureConnected();	×
26
27	const indexes = await provider.createSearchIndexes(database, collection, [	×
28	{
29	name,
30	type: VECTOR_INDEX_TYPE,
31	definition: { fields: buildVectorFields(vectorDefinition, filterFields) },
32	},
33	]);
34
35	return {	×
36	content: [
37	{
38	text: `Created the vector index ${indexes[0]} on collection "${collection}" in database "${database}"`,
39	type: "text",
40	},
41	],
42	};
43	}
44	}

mongodb-js / mongodb-mcp-server / 15063490200

Source File Press 'n' to go to next uncovered line, 'b' for previous

Source File
Press 'n' to go to next uncovered line, 'b' for previous