mongodb-js · vm-mishchenko · May 15, 2025 · May 13, 2025 · May 15, 2025 · edgarw19
@@ -3,6 +3,7 @@ import { Session } from "./session.js";
 import { Transport } from "@modelcontextprotocol/sdk/shared/transport.js";
 import { AtlasTools } from "./tools/atlas/tools.js";
 import { MongoDbTools } from "./tools/mongodb/tools.js";
+import { PlaygroundTools } from "./tools/playground/tools.js";
 import logger, { initializeLogger, LogId } from "./logger.js";
 import { ObjectId } from "mongodb";
 import { Telemetry } from "./telemetry/telemetry.js";
@@ -134,7 +135,7 @@ export class Server {
     }
 
     private registerTools() {
-        for (const tool of [...AtlasTools, ...MongoDbTools]) {
+        for (const tool of [...AtlasTools, ...MongoDbTools, ...PlaygroundTools]) {
             new tool(this.session, this.userConfig, this.telemetry).register(this.mcpServer);
         }
     }

@@ -0,0 +1,167 @@
+import { OperationType, TelemetryToolMetadata, ToolArgs, ToolBase, ToolCategory } from "../tool.js";
+import { z } from "zod";
+import { CallToolResult } from "@modelcontextprotocol/sdk/types.js";
+import { EJSON } from "bson";
+
+const PLAYGROUND_SEARCH_URL = "https://search-playground.mongodb.com/api/tools/code-playground/search";
+
+const DEFAULT_DOCUMENTS = [
+    {
+        name: "First document",
+    },
+    {
+        name: "Second document",
+    },
+];
+
+const DEFAULT_SEARCH_INDEX_DEFINITION = {
+    mappings: {
+        dynamic: true,
+    },
+};
+
+const DEFAULT_PIPELINE = [
+    {
+        $search: {
+            index: "default",
+            text: {
+                query: "first",
+                path: {
+                    wildcard: "*",
+                },
+            },
+        },
+    },
+];
+
+const DEFAULT_SYNONYMS: Array<Record<string, unknown>> = [];
+
+export const RunPipelineOperationArgs = {
+    documents: z
+        .array(z.record(z.string(), z.unknown()))
+        .max(500)
+        .describe("Documents to run the pipeline against. 500 is maximum.")
+        .default(DEFAULT_DOCUMENTS),
+    aggregationPipeline: z
+        .array(z.record(z.string(), z.unknown()))
+        .describe("MongoDB aggregation pipeline to run on the provided documents.")
+        .default(DEFAULT_PIPELINE),
+    searchIndexDefinition: z
+        .record(z.string(), z.unknown())
+        .describe("MongoDB search index definition to create before running the pipeline.")
+        .optional()
+        .default(DEFAULT_SEARCH_INDEX_DEFINITION),
+    synonyms: z
+        .array(z.record(z.any()))
+        .describe("MongoDB synonyms mapping to create before running the pipeline.")
+        .optional()
+        .default(DEFAULT_SYNONYMS),
+};
+
+interface RunRequest {
+    documents: string;
+    aggregationPipeline: string;
+    indexDefinition: string;
+    synonyms: string;
+}
+
+interface RunResponse {
+    documents: Array<Record<string, unknown>>;
+}
+
+interface RunErrorResponse {
+    code: string;
+    message: string;
+}
+
+export class RunPipeline extends ToolBase {
+    protected name = "run-pipeline";
+    protected description =
+        "Run MongoDB aggregation pipeline for provided documents without needing an Atlas account, cluster, or collection. The tool can be useful for running ad-hoc pipelines for testing or debugging.";
+    protected category: ToolCategory = "playground";
+    protected operationType: OperationType = "metadata";
+    protected argsShape = RunPipelineOperationArgs;
+
+    protected async execute(toolArgs: ToolArgs<typeof this.argsShape>): Promise<CallToolResult> {
+        const runRequest = this.convertToRunRequest(toolArgs);
+        const runResponse = await this.runPipeline(runRequest);
+        const toolResult = this.convertToToolResult(runResponse);
+        return toolResult;
+    }
+
+    protected resolveTelemetryMetadata(): TelemetryToolMetadata {
+        return {};
+    }
+
+    private async runPipeline(runRequest: RunRequest): Promise<RunResponse> {
+        const options: RequestInit = {
+            method: "POST",
+            headers: {
+                "Content-Type": "application/json",
+            },
+            body: JSON.stringify(runRequest),
+        };
+
+        let response: Response;
+        try {
+            response = await fetch(PLAYGROUND_SEARCH_URL, options);
+        } catch {
+            throw new Error("Cannot run pipeline: network error.");
+        }
+
+        if (!response.ok) {
+            const errorMessage = await this.getPlaygroundResponseError(response);
+            throw new Error(`Pipeline run failed: ${errorMessage}`);
+        }
+
+        try {
+            return (await response.json()) as RunResponse;
+        } catch {
+            throw new Error("Pipeline run failed: response is not valid JSON.");
+        }
+    }
+
+    private async getPlaygroundResponseError(response: Response): Promise<string> {
+        let errorMessage = `HTTP ${response.status} ${response.statusText}.`;
+        try {
+            const errorResponse = (await response.json()) as RunErrorResponse;
+            errorMessage += ` Error code: ${errorResponse.code}. Error message: ${errorResponse.message}`;
+        } catch {
+            // Ignore JSON parse errors
+        }
+
+        return errorMessage;
+    }
+
+    private convertToRunRequest(toolArgs: ToolArgs<typeof this.argsShape>): RunRequest {
+        try {
+            return {
+                documents: JSON.stringify(toolArgs.documents),
+                aggregationPipeline: JSON.stringify(toolArgs.aggregationPipeline),
+                indexDefinition: JSON.stringify(toolArgs.searchIndexDefinition || DEFAULT_SEARCH_INDEX_DEFINITION),
+                synonyms: JSON.stringify(toolArgs.synonyms || DEFAULT_SYNONYMS),
+            };
+        } catch {
+            throw new Error("Invalid arguments type.");
+        }
+    }
+
+    private convertToToolResult(runResponse: RunResponse): CallToolResult {
+        const content: Array<{ text: string; type: "text" }> = [
+            {
+                text: `Found ${runResponse.documents.length} documents":`,
+                type: "text",
+            },
+            ...runResponse.documents.map((doc) => {
+                return {
+                    text: EJSON.stringify(doc),
+                    type: "text",
+                } as { text: string; type: "text" };
+            }),
+        ];
+
+        return {
+            content,
+        };
+    }
+}
@@ -0,0 +1,3 @@
+import { RunPipeline } from "./runPipeline.js";
+
+export const PlaygroundTools = [RunPipeline];
@@ -10,7 +10,7 @@ import { UserConfig } from "../config.js";
 export type ToolArgs<Args extends ZodRawShape> = z.objectOutputType<Args, ZodNever>;
 
 export type OperationType = "metadata" | "read" | "create" | "delete" | "update";
-export type ToolCategory = "mongodb" | "atlas";
+export type ToolCategory = "mongodb" | "atlas" | "playground";
 export type TelemetryToolMetadata = {
     projectId?: string;
     orgId?: string;

@@ -0,0 +1,44 @@
+import { describeWithMongoDB } from "../mongodb/mongodbHelpers.js";
+import { getResponseElements } from "../../helpers.js";
+
+describeWithMongoDB("runPipeline tool", (integration) => {
+    it("should return results", async () => {
+        await integration.connectMcpClient();
+        const response = await integration.mcpClient().callTool({
+            name: "run-pipeline",
+            arguments: {
+                documents: [{ name: "First document" }, { name: "Second document" }],
+                aggregationPipeline: [
+                    {
+                        $search: {
+                            index: "default",
+                            text: {
+                                query: "first",
+                                path: {
+                                    wildcard: "*",
+                                },
+                            },
+                        },
+                    },
+                    {
+                        $project: {
+                            _id: 0,
+                            name: 1,
+                        },
+                    },
+                ],
+            },
+        });
+        const elements = getResponseElements(response.content);
+        expect(elements).toEqual([
+            {
+                text: 'Found 1 documents":',
+                type: "text",
+            },
+            {
+                text: '{"name":"First document"}',
+                type: "text",
+            },
+        ]);
+    });
+});
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1,3 @@
		import { RunPipeline } from "./runPipeline.js";

		export const PlaygroundTools = [RunPipeline];